Category Archives: Technical News

Technical News: Your Source for the Latest Tech News and Trends

Stay ahead of the curve with Freemindtronic’s Technical News. We keep you up-to-date on the latest developments in the tech world, so you can make informed decisions about your business and personal life.

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AES-256 CBC, Quantum Security, and Key Segmentation: A Rigorous Scientific Approach

Highly realistic 3D padlock representing AES-256 CBC encryption with advanced key segmentation, featuring fingerprint scanner, facial recognition, and secure server segments on a white background.

Quantum Security in AES-256 CBC & PGP: Evaluating Resistance with Key Segmentation

As quantum computing rapidly evolves, AES-256 CBC encryption stands at the forefront of security discussions. In this post, we explore how AES-256 and its PGP variant remain resilient against quantum threats. Our analysis focuses on key segmentation, a cutting-edge approach in quantum data protection, and offers both theoretical and practical insights to safeguard sensitive information in a post-quantum world.

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Stay informed with our posts dedicated to Technical News to track its evolution through our regularly updated topics.

AES-256 CBC encryption is at the forefront of our Tech News, where we explore how quantum threats are being addressed with key segmentation. Gain insights into how these advancements, highlighted by Jacques Gascuel, enhance data security in a post-quantum era. Stay updated with our latest tech solutions.

Background: The Foundations of Quantum Security in AES-256

Understanding AES-256 in Classical Cryptography

AES (Advanced Encryption Standard), especially its 256-bit variant, provides robust protection for sensitive data. The robustness of AES-256 arises from the complexity of its encryption operations, which require a 256-bit key. This key length makes brute-force attacks nearly impossible on classical computers. Furthermore, the National Institute of Standards and Technology (NIST) has standardized AES-256, leading to its widespread global adoption across various applications, from securing communications to protecting databases.

Quantum Algorithms: A New Threat to Encryption Security

Quantum computing brings significant challenges to symmetric encryption systems such as AES-256 CBC. With the potential of quantum computers to exploit algorithms like Grover’s, the encryption community is actively preparing for these future risks. AES-256 CBC, while robust, faces a quantum computing landscape that demands further adaptation. Two quantum algorithms, in particular, pose significant risks:

    • Shor’s Algorithm: This algorithm threatens asymmetric encryption systems like RSA by factoring integers in polynomial time, compromising systems reliant on the difficulty of this operation.
    • Grover’s Algorithm: Grover’s Algorithm significantly impacts symmetric encryption systems by providing a quadratic speedup. For AES-256 CBC, it reduces the required operations from 2^{256} to 2^{128}. While still theoretical, ongoing research into quantum cryptanalysis suggests that quantum collision attacks could pose additional risks to cryptographic hashing functions used alongside AES-256-based encryption. As such, integrating key segmentation not only mitigates these threats but adds an extra layer of defense against quantum-enabled adversaries.

The Impact of Quantum Attacks on AES-256 Encryption

Grover’s algorithm, a significant development in quantum computing, could reduce the security level of AES-256. Although the attack would still require substantial computational power, we must consider quantum-resilient methods to ensure AES-256 remains secure in the long term. As a result, key segmentation becomes critical in reinforcing AES-256 CBC encryption against these potential vulnerabilities.

Recent NIST Guidelines and Quantum-Resilient Encryption

As part of its ongoing efforts to strengthen encryption standards, the National Institute of Standards and Technology (NIST) has begun integrating quantum-resilient cryptographic algorithms into its guidelines. AES-256 CBC, while still secure against classical attacks, requires advanced mitigation strategies, like key segmentation, to address quantum threats. These updates highlight the importance of future-proofing encryption mechanisms against Grover’s algorithm and other quantum-enabled techniques.

Why Key Segmentation is Crucial for Enhancing Encryption Security

Key segmentation has emerged as a groundbreaking solution to meet the growing demand for quantum-resistant encryption. By dividing the AES-256 CBC encryption key into multiple segments stored across distinct physical devices, unauthorized access becomes exponentially more difficult. This method ensures quantum resilience, making access to the entire key nearly impossible with today’s technology.

Recent NIST Updates on AES-256 and Post-Quantum Security

In light of quantum threats, the National Institute of Standards and Technology (NIST) has recently revisited its AES-256 encryption standards. While the core technical elements remain unchanged, NIST’s ongoing refinements emphasize the importance of post-quantum cryptography and quantum-resilient defenses like key segmentation​(NIST). By aligning encryption practices with evolving standards, organizations can better prepare for the future of quantum data protection.

Advanced Quantum Security with Key Segmentation

Key Segmentation as Quantum Defense

“Key segmentation offers a highly effective defense against quantum threats. By leveraging multiple layers of security, this technique disperses the encryption key across various secure devices. Each segment, individually encrypted, becomes a critical barrier to unauthorized access. Even if a quantum-enabled adversary applies Grover’s algorithm, the complexity involved in retrieving all key segments ensures that quantum attacks remain theoretical for the foreseeable future. In the world of Quantum Data Protection, key segmentation stands out as a powerful tool for safeguarding data.”

Moreover, by integrating segmented keys with quantum-resilient algorithms, organizations can future-proof their data security strategies.

Quantum-Ready AES-256 CBC

“While many encryption systems brace for the impact of quantum computing, AES-256 CBC, fortified with key segmentation, remains one of the most quantum-resistant methods available. The encryption landscape is shifting rapidly, with technologies like quantum computers pushing the limits of traditional systems. By ensuring that encryption keys are not stored in a single location but are segmented across multiple devices, Quantum Security reaches new heights. This synergy between quantum-resilient algorithms, such as lattice-based cryptography, and key segmentation forms a multi-faceted defense against emerging quantum threats. As NIST finalizes post-quantum cryptographic standards, integrating these algorithms with segmented key systems will be critical in maintaining robust data protection.y ensuring that encryption keys are not stored in a single location, but are divided across multiple devices, Quantum Security reaches new heights. This advancement guarantees that AES-256 CBC will continue to protect critical data in the face of emerging quantum threats.

Thus, transitioning to a segmented key approach ensures that sensitive information is protected from even the most advanced quantum-based attacks.

Innovation: Detailed Analysis of Key Segmentation in AES-256

Theoretical Concept of Key Segmentation

Key segmentation involves distributing the encryption key across several segments, each stored on a distinct physical device, such as an NFC token or a secured mobile device. This approach leverages security through dispersion, ensuring that an attacker must gather and correctly assemble all segments to access the complete key.

This concept draws inspiration from principles like multiparty computation (MPC) and secret sharing schemes, such as Shamir’s secret sharing, which divides a secret into multiple parts that must be combined to reconstruct the original secret.

Advanced Implementation: Key Segment Types and Quantum Attack Resistance

Variety in Key Segmentation

Key segments can vary significantly depending on the implementation, adding further layers of security. The segments can be cumulative, ordered, or involve suppression by addition. For example:

  • SSID Keys: Segments could be based on SSID keys identifying specific wireless networks, adding location-based authentication.
  • Geo-Zone Segments: Key segments could be tied to specific geographic zones, becoming active only when the user is within a designated area.
  • Barcode Segments: Segments could be encoded within a barcode, requiring physical access to scan and retrieve the segment.
  • Password Segments: Traditional passwords can serve as key segments, enhancing security by requiring correct input alongside other segments.
  • Telephone UID: A segment could derive from the unique identifier (UID) of a mobile phone, ensuring that the device itself becomes part of the authentication process.

These segments are integrated into products like PassCypher NFC HSM, SeedNFC HSM, and DataShielder NFC HSM. By adding trust criteria such as SSID, geo-zone, or UID, the system ensures that authentication is only possible when all trust conditions are met, even under potential quantum attack scenarios.

Encapsulation and Secure Storage of Key Segments

Variants of key segmentation further enhance security by encapsulating one or more criteria within encryption, while others are stored in different secure memories, protected by unique keys initially generated randomly. For instance:

  • Encapsulation in Encryption: Some segments are securely encapsulated within the encryption process, accessible only during decryption.
  • Distributed Secure Storage: Other segments might be stored in separate secure memories, each protected by a different cryptographic key, ensuring that even if one memory is compromised, the attacker would still need to access the others.

These implementations are particularly effective in quantum-resistant security products like PassCypher NFC HSM Lite and DataShielder PGP HSM.

Practical Implementation of Key Segmentation

Consider a system that uses AES-256 encryption to secure sensitive data. The 256-bit key is divided into three segments:

  1. Segment 1: Stored on a primary mobile device, such as a smartphone.
  2. Segment 2: Stored on an NFC token, hidden in a secure location.
  3. Segment 3: Stored on another mobile device or secondary token, held by an authorized supervisor.

These segments are never transmitted in plaintext. Instead, they are combined only when needed for decrypting data. The primary mobile device retrieves the segments through near-field communication (NFC), assembles them in a predefined order, and then uses the complete key for decryption.

Best Practices for Implementing Key Segmentation

For organizations transitioning to quantum-resilient encryption, it is vital to establish best practices in the deployment of key segmentation. Regularly refreshing key segments, implementing geo-zoning and device-based segmentation, and using multiple layers of encryption per segment ensures greater protection against quantum threats. Additionally, ensuring strict access control and monitoring the integrity of devices storing these segments can prevent potential breaches. These practices form a robust security framework in the face of advancing quantum capabilities.

Enhancing AES-256 CBC Security with Key Segmentation: A Quantum-Resistant Approach

Key segmentation provides a powerful layer of security against quantum attacks. Even if a quantum adversary applies Grover’s algorithm to crack one segment, they only gain a fraction of the key. Recent research highlights that combining key segmentation with quantum-resilient algorithms ensures even greater protection. Segmentation forces attackers to reconstruct the entire key through multiple independent channels, making such attacks exponentially harder to execute.

Combining this system with rigorous access and device management makes it extremely difficult for an attacker to compromise. Regularly renewing key segments can prevent long-term reconstruction attempts, ensuring ongoing security.

Quantum Security Best Practices

As quantum technologies evolve, adopting best practices in Quantum Data Protection becomes essential. Regularly renewing key segments and maintaining strict access control protocols ensure that encryption remains robust against even the most sophisticated quantum attacks. Additionally, employing geo-zoning and device-based key segmentation adds further layers of complexity. These practices not only strengthen encryption but also create a more dynamic and responsive security infrastructure.”

By adopting these advanced security measures, organizations can protect their data well into the quantum era.

Technical Deep Dive with DataShielder NFC HSM and DataShielder HSM PGP

Implementing Key Segmentation in DataShielder Products

For those with a technical interest, key segmentation can be implemented in encryption hardware and software like DataShielder NFC HSM and DataShielder HSM PGP. These products offer robust security by securely storing and managing cryptographic keys. By integrating key segmentation, these systems can further enhance security, distributing encryption key segments across multiple DataShielder devices to ensure that no single device holds the entire key.

Integration Points with Existing Systems

Integrating key segmentation with existing encryption systems requires careful planning. In DataShielder products, segmentation occurs where keys are generated and stored. The software supports the retrieval and reassembly of key segments only when all segments are present. This approach ensures that even if a single device is compromised, the encryption key remains secure.

Protecting the Innovation: Patent for Key Segmentation

The innovation of key segmentation as a robust solution to quantum threats has been formally recognized and protected under a patent. Invented by Jacques Gascuel, this patent is exploited by Freemindtronic in various implementations, such as PassCypher NFC HSM, PassCypher HSM PGP, SeedNFC HSM, SeedNFC PGP, and EviKey NFC HSM. The patent has been granted in multiple jurisdictions, including the USA, Japan, South Korea, China, the European Unitary Patent, Spain, the United Kingdom, and Algeria. You can refer to the patent documentation for more details on this patented technology.

Comparing AES-256 CBC with Other Encryption Methods in the Face of Quantum Computing

Risk Modeling in Encryption

Without key segmentation, encryption methods like AES-256 rely on a “monolithic” security approach. In this scenario, the single encryption key serves as the main barrier to protection. If compromised, the entire system becomes vulnerable.

Key segmentation distributes the risk across multiple points. Risk modeling demonstrates that the chance of an attacker accessing all key segments and reconstructing them is exponentially lower. Attack vectors multiply and become interdependent, requiring significant computational power for quantum attacks and physical access to multiple secured devices.

Computational Complexity with Key Segmentation

A brute-force attack on AES-256 encryption without segmentation, using Grover’s algorithm, has a complexity of 21282^{128}. However, in a system with key segmentation, even if one segment is cracked, the attacker faces additional complexity. Each segment adds to the challenge, especially when combined with its correct integration into the complete key. The overall complexity of such an attack could meet or even exceed the original complexity, depending on the number of segments and the encryption scheme used for each segment.

Risk Mitigation Strategies for AES-256 CBC: Leveraging Key Segmentation

Redundancy in Storage Locations

To mitigate risks associated with key segmentation, implementing redundancy in storage locations is crucial. Storing multiple copies of each key segment in different secure locations ensures that the loss or compromise of one location does not endanger the entire key.

Backup Protocols

Effective backup protocols are essential for maintaining the integrity of key segments. Regularly backing up key segments and ensuring these backups are encrypted and stored securely can prevent data loss due to hardware failure or other unforeseen events.

Managing Segment Loss

In cases where a key segment device is lost or compromised, organizations must have protocols in place for quickly invalidating the compromised segment and generating a new one. This process should be seamless to avoid interruptions in operations while maintaining the security of the encryption key.

Application of Key Segmentation to AES-256 PGP Encryption

Overview of AES-256 PGP Security

AES-256 is also a crucial component in PGP (Pretty Good Privacy). PGP is a well-known encryption program that provides cryptographic privacy and authentication. It combines AES-256 encryption with public-key cryptography to secure files, emails, and other digital communications. In PGP, symmetric key encryption (AES-256) is typically used for data encryption, while asymmetric encryption secures the symmetric key itself.

Addressing Quantum Threats in PGP

PGP, like standard AES-256, faces significant challenges from quantum computing. Asymmetric algorithms traditionally used in PGP, such as RSA and DSA, are particularly vulnerable to Shor’s algorithm. Shor’s algorithm can break these in polynomial time. Although more resistant, the symmetric AES-256 encryption within PGP still faces threats from Grover’s algorithm, potentially reducing the effective security level to that of a 128-bit key.

Enhancing AES-256 CBC PGP Security with Key Segmentation

Key segmentation can significantly enhance PGP’s resistance to quantum attacks. In this context, key segmentation involves dividing the symmetric key used for AES-256 encryption into multiple segments, as described earlier. These segments are then distributed across various secure devices. Additionally, transitioning to quantum-resistant algorithms or applying similar segmentation to the asymmetric keys used in PGP could further bolster security.

Practical Implementation of Key Segmentation in PGP Systems

PGP users can implement key segmentation by following these steps:

  1. Segmenting the Symmetric Key: The AES-256 key used in PGP encryption is divided into multiple segments, which are then stored on different secure devices.
  2. Securing the Asymmetric Key: Transitioning to quantum-resistant algorithms for the asymmetric keys used in PGP or segmenting these keys similarly.
  3. Ensuring Compatibility: Ensuring that the key segmentation process is compatible with existing PGP workflows and software. This might require updates or patches to PGP software to maintain security.

Quantum-Resilient Algorithms and Key Segmentation Synergy

As quantum computing progresses, experts are developing quantum-resilient algorithms designed to withstand quantum cryptographic attacks. When these algorithms are combined with key segmentation, they offer a synergistic defense. This approach splits the encryption key across multiple independent devices, ensuring that even if one algorithmic defense falters, the segmented structure adds a nearly insurmountable barrier for attackers. Such integration will be essential for quantum data protection in the coming years.

Strengthening AES-256 CBC PGP Security with Key Segmentation

Integrating key segmentation allows AES-256 PGP to maintain a higher level of security against quantum threats. Even if a quantum computer attempts to exploit Grover’s algorithm, the attacker would still need to reconstruct the key segments. This requirement adds a significant barrier to unauthorized decryption. Therefore, key segmentation provides an effective defense mechanism.

Case Study: Applying Key Segmentation to Encryption in a Sensitive Environment

Consider a large financial institution using AES-256 encryption to protect its customer databases. The institution decides to implement key segmentation to guard against future quantum threats. The encryption key is divided into segments stored on devices held by different departments, such as IT, security, and management. To access a sensitive database, a user must retrieve each segment using a primary mobile device. The key is then reconstructed and used to decrypt the data.

Results and Benefits of Implementing Key Segmentation

Penetration testing simulations show that the data remains secure even if one segment is stolen. The requirement to retrieve all segments in a specific order prevents any successful attack. Additionally, the use of varied segment types, such as SSID keys, geo-zone restrictions, and UID-based segments, adds layers of complexity that make unauthorized access nearly impossible. Cost-benefit analysis reveals that while key segmentation involves initial implementation and training costs, the security and data protection gains are substantial. Therefore, key segmentation proves to be a highly effective security measure.

Resistance to Quantum Attacks: Key Segmentation Without a Trusted Third Party

Key segmentation can resist quantum attacks without the need for a trusted third party. The segmented key components are distributed across multiple secure devices, each functioning independently. This decentralization ensures that even with the advent of quantum technology, an attacker would face a monumental challenge in reconstructing the key without access to all segments. The absence of a single trusted authority also reduces the risk of central points of failure, making the system more robust against both internal and external threats.

Future Perspectives: Developing Post-Quantum Cryptography (PQC)

As quantum computing advances, developing post-quantum cryptography (PQC) becomes increasingly critical. NIST leads the efforts to establish new cryptographic standards resistant to quantum attacks. These emerging algorithms could complement key segmentation strategies, offering an additional layer of protection. For example, integrating quantum-resistant algorithms with segmented keys could further enhance security, providing a comprehensive defense against future threats.

Comparing Key Segmentation with Other Quantum-Resistant Strategies

While key segmentation offers a robust solution, it is essential to compare it with other quantum-resistant strategies to provide a broader understanding of the landscape. Alternatives such as lattice-based cryptography, hash-based signatures, and multivariate quadratic equations present different approaches to quantum resistance.

  • Lattice-Based Cryptography: This method relies on the hardness of lattice problems, which are believed to be resistant to quantum attacks. However, unlike key segmentation, which disperses the risk, lattice-based methods focus on computational complexity.
  • Hash-Based Signatures: These signatures offer security based on the collision resistance of cryptographic hash functions. They provide a different approach from key segmentation but can be combined to enhance overall security.
  • Multivariate Quadratic Equations: These equations are used in cryptographic systems considered resistant to quantum attacks. When combined with key segmentation, they could provide an even more robust defense.

Technical Deep Dive: DataShielder NFC HSM and DataShielder HSM PGP

For users with a technical interest, implementing key segmentation in encryption hardware and software, such as DataShielder NFC HSM and DataShielder HSM PGP, offers a practical and secure approach to quantum-resistant cryptography. These products can store and manage cryptographic keys securely, ensuring that each segment is protected independently.

In practice, key segmentation within these systems distributes segments across multiple devices, ensuring that no single device holds the entire key. Integrating with existing systems requires careful consideration of segment retrieval, reassembly, and compatibility with existing encryption workflows. By securing each segment with independent cryptographic keys and implementing rigorous access controls, DataShielder products significantly reduce the risk of key compromise.

Conclusion: Enhancing AES-256 Quantum Security with Key Segmentation

This scientific evaluation shows that AES-256 encryption, including its use in PGP, is theoretically vulnerable to Grover’s attacks. However, key segmentation provides an innovative and robust solution. By dividing the key into segments stored on secured devices, this additional barrier significantly complicates any attempts to compromise the system, whether from external attackers or internal threats.

Future Perspectives on Quantum Security

Key segmentation is likely to become a standard in high-security environments, especially as quantum computing advances. Researchers must continue to explore segmentation mechanisms, improve their management, and integrate them into broader cybersecurity systems. Future standards, such as those being developed by NIST for post-quantum cryptography, could incorporate these concepts to create even more robust solutions. Therefore, the ongoing development of quantum-resistant security measures remains crucial.

Side-Channel Attacks via HDMI and AI: An Emerging Threat

Side-channel attacks visualized through an HDMI cable emitting invisible electromagnetic waves intercepted by an AI system.
Side-channel attacks via HDMI are the focus of Jacques Gascuel’s analysis, which delves into their legal implications and global impact in cybersecurity. This ongoing review is updated regularly to keep you informed about advancements in these attack methods, the protective technologies from companies like Freemindtronic, and their real-world effects on cybersecurity practices and regulations.

Protecting Against HDMI Side-Channel Attacks

Side-channel attacks via HDMI, bolstered by AI, represent a growing threat in cybersecurity. These methods exploit electromagnetic emissions from HDMI cables to steal sensitive information from a distance. How can you protect yourself against these emerging forms of cyberattacks?

Understanding the Impact and Evolution of Side-Channel Attacks in Modern Cybersecurity

Side-channel attacks, also known as side-channel exploitation, involve intercepting electromagnetic emissions from HDMI cables to capture and reconstruct the data displayed on a screen. These attacks, which were previously limited to analog signals like VGA, have now become possible on digital signals thanks to advances in artificial intelligence.

A group of researchers from the University of the Republic in Montevideo, Uruguay, recently demonstrated that even digital signals, once considered more secure, can be intercepted and analyzed to reconstruct what is displayed on the screen. Their research, published under the title “Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its Unintended Electromagnetic Emanations”, is available on the arXiv preprint server​ (ar5iv).

Complementing this, Freemindtronic, a company specializing in cybersecurity, has also published articles on side-channel attacks. Their work highlights different forms of these attacks, such as acoustic or thermal emissions, and proposes advanced strategies for protection. You can explore their research and recommendations for a broader understanding of the threats associated with side-channel attacks by following this link: Freemindtronic – Side-Channel Attacks.

Freemindtronic Solutions for Combating Side-Channel Attacks via HDMI

Freemindtronic’s PassCypher and DataShielder product lines incorporate advanced hardware security technologies, such as NFC HSM (Hardware Security Module) or HSM PGP containers, to provide enhanced protection against side-channel attacks.

How Do These Products Protect Against HDMI Attacks?

Freemindtronic’s PassCypher and DataShielder product lines incorporate advanced hardware security technologies, such as NFC HSM (Hardware Security Module) or HSM PGP containers, to provide enhanced protection against side-channel attacks.

  • PassCypher NFC HSM and PassCypher HSM PGP: These devices are designed to secure sensitive data exchanges using advanced cryptographic algorithms considered post-quantum, and secure key management methods through segmentation. Thanks to their hybrid HSM architecture, these devices ensure that cryptographic keys always remain in a secure environment, protected from both external and internal attacks, including those attempting to capture electromagnetic signals via HDMI. Even if an attacker managed to intercept signals, they would be unusable without direct access to the cryptographic keys, which remain encrypted even during use. Furthermore, credentials and passwords are decrypted only ephemerally in volatile memory, just long enough for auto-login and decryption.
  • DataShielder NFC HSM: This product goes even further by combining hardware encryption with NFC (Near Field Communication) technology. DataShielder NFC HSM is specifically designed to secure communications between phones and computers or exclusively on phones, ensuring that encryption keys are encrypted from the moment of creation and decrypted only in a secure environment. The messages remain encrypted throughout. This means that even if data were intercepted via a side-channel attack, it would remain indecipherable without the decryption keys stored within the HSM. Additionally, the NFC technology limits the communication range, reducing the risk of remote interception, as even the information transmitted via the NFC channel is encrypted with other segmented keys.

Why Are These Products Effective Against HDMI Attacks?

  • Segmented Cryptographic Key Protection: The hybrid HSMs integrated into these products ensure that cryptographic keys never leave the secure environment of the module. Even if an attacker were to capture HDMI signals, without access to the keys, the data would remain protected.
  • Encryption from NFC HSM or HSM PGP: Hybrid encryption, using keys stored in a secure enclave, is far more secure than software-only encryption because it is less likely to be bypassed by side-channel attacks. The PassCypher and DataShielder solutions use advanced AES-256 CBC PGP encryption, making it much harder for attackers to succeed.
  • Electromagnetic Isolation: These devices are designed to minimize electromagnetic emissions as much as possible and only on demand in milliseconds, making side-channel attacks extremely difficult to implement. Moreover, the data exchanged is encrypted within the NFC signal, significantly reducing the “attack surface” for electromagnetic signals. This prevents attackers from capturing exploitable signals.
  • Limitation of Communications: With NFC technology, communications are intentionally limited to short distances, greatly complicating attempts to intercept data remotely.

In summary

Freemindtronic’s PassCypher NFC HSM, PassCypher HSM PGP, and DataShielder NFC HSM products offer robust protection against side-channel attacks via HDMI. By integrating hardware security modules, advanced encryption algorithms, and limiting communications to very short distances, these devices ensure high-level security, essential for sensitive environments where data must be protected against all forms of attacks, including those using side-channel techniques.

To learn more about these products and discover how they can enhance your system’s security, visit Freemindtronic’s product pages:

IK Rating Guide: Understanding IK Ratings for Enclosures

Rating Guide enclosure box labeled with IK ratings from IK01 to IK10 on a white background.

What Is IK Rating?

IK Rating Guide is essential for understanding the level of protection an enclosure offers against external mechanical impacts. This guide explains the IK rating system, from IK01 to IK10, and why IK10 represents the highest vandal resistance available. Understanding these ratings ensures you select the right protection level for your electrical enclosures.

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Explore our IK Rating Guide to understand how different IK ratings protect your enclosures. Learn about impact resistance and how to choose the right protection level with insights from Jacques Gascuel. Stay informed on the best practices for safeguarding your electrical equipment.

IK Rating Guide: Understanding the IK Rating System

The IK Rating Guide clearly defines the international standard IEC 62262. This standard classifies the degree of protection that enclosures provide against mechanical impacts. The rating system is crucial for industries where equipment needs to withstand physical stress. Ratings range from IK01, which indicates minimal protection, to IK10, which represents the highest level of protection against external impacts.

Here is a detailed breakdown of the IK ratings:

IK Rating Impact Energy (Joules) Radius of Striking Element (mm) Material Mass (Kg) Pendulum Hammer Spring Hammer Free Fall Hammer
IK01 0.15J 10 Polymide 0.2 Yes Yes No
IK02 0.20J 10 Polymide 0.2 Yes Yes No
IK03 0.35J 10 Polymide 0.2 Yes Yes No
IK04 0.50J 10 Polymide 0.2 Yes Yes No
IK05 0.70J 10 Polymide 0.2 Yes Yes No
IK06 1.00J 10 Polymide 0.5 Yes Yes No
IK07 2.00J 25 Polymide 0.5 Yes No Yes
IK08 5.00J 25 Polymide 1.7 Yes No Yes
IK09 10.00J 50 Polymide 5.0 Yes No Yes
IK10 20.00J 50 Polymide 5.0 Yes No Yes

IK Rating Guide: IK10 Rating as the Ultimate Protection

The IK Rating Guide highlights IK10 as the highest level of impact resistance. This rating offers protection against 20 joules of impact energy. This level of protection is crucial for enclosures in environments prone to vandalism or extreme conditions. For example, the EviKey NFC HSM uses an IK10-rated enclosure. This design ensures that sensitive data remains protected even in high-risk environments. Another example is the NFC HSM Tag, which also relies on IK10-rated enclosures to ensure durability and security.

IK Rating Guide: Comparing IK Ratings with IP Ratings

The IK Rating Guide helps distinguish between IK and IP ratings. While IK ratings assess resistance to mechanical impacts, IP (Ingress Protection) ratings evaluate protection against dust and water. Both ratings are essential when selecting an enclosure. For instance, an outdoor enclosure may require a high IP rating for water resistance in addition to an IK10 rating for impact protection.

IK Rating Guide: Material Considerations for IK-Rated Enclosures

The IK Rating Guide emphasizes the importance of material choice in determining an enclosure’s IK rating. Common materials include GRP (Glass Reinforced Plastic), metal, and polycarbonate. GRP enclosures, known for their high strength and corrosion resistance, are often used in environments requiring IK10 ratings. Metal enclosures offer excellent impact resistance but may need additional coatings to prevent rust in outdoor applications. Polycarbonate, on the other hand, is lightweight and impact-resistant. This makes it suitable for lower IK ratings or specific environments.

IK Rating Guide: Application Examples of IK Ratings

The IK Rating Guide provides practical examples to help you choose the right enclosure:

  • Public Spaces: Transportation hubs, parks, and schools often require IK10-rated enclosures to withstand vandalism.
  • Industrial Settings: Factories or construction sites commonly use enclosures with IK08 or IK09 ratings. These settings need to resist impacts from heavy machinery or accidental collisions.
  • Data Security Devices: Products like the EviKey NFC HSM utilize IK10-rated enclosures. These enclosures ensure the security of sensitive data even under physical attack.

IK Rating Guide: Installation and Maintenance Tips for IK-Rated Enclosures

Proper installation and maintenance are vital. The IK Rating Guide offers tips to ensure your IK-rated enclosure performs as expected:

  • Secure Mounting: Mount the enclosure securely to prevent it from being dislodged or damaged.
  • Regular Inspections: Inspect the enclosure periodically for signs of impact damage or wear, especially in high-risk environments.
  • Environmental Considerations: If exposed to harsh conditions, consider adding protection. Weatherproof coatings or UV-resistant materials can extend the life of your enclosure.

Innovations and Future Trends in IK Ratings

The IK Rating Guide notes ongoing innovations in enclosure design. These could influence IK ratings in the future:

  • Smart Enclosures: Modern enclosures increasingly come with sensors that detect impacts. They can report damage in real-time, enhancing maintenance and security.
  • Sustainable Materials: As industries shift toward sustainability, expect to see more enclosures made from eco-friendly materials. These materials will still meet high IK rating standards.

Frequently Asked Questions (FAQ)

  1. What is the difference between IK and IP ratings?
    • IK ratings measure resistance to mechanical impacts. In contrast, IP ratings assess protection against dust and water.
  2. Can an enclosure’s IK rating be improved after installation?
    • Improving an IK rating typically involves upgrading the material or adding protective features. This might require replacing the existing enclosure.
  3. Why is IK10 the highest rating?
    • IK10 represents the maximum impact energy (20 joules) that standard testing procedures evaluate. This provides the highest available protection against physical impacts.

Frequently Asked Questions (FAQ)

IK ratings measure resistance to mechanical impacts. In contrast, IP ratings assess protection against dust and water.

Improving an IK rating typically involves upgrading the material or adding protective features. This might require replacing the existing enclosure.

IK10 represents the maximum impact energy (20 joules) that standard testing procedures evaluate. This provides the highest available protection against physical impacts.

For more detailed information on IK ratings and their classifications, you can visit the IEC Electropedia. This resource offers in-depth explanations and standards related to IK codes, supporting your understanding of how these ratings are developed and applied.

Satellite Connectivity: A Major Advancement for DataShielder NFC HSM Users

Realistic image showcasing satellite connectivity and DataShielder NFC HSM with a smartphone, satellite signal, secure communication icons, and elements representing civilian and military use.

Satellite Connectivity for Secure Communication

Satellite connectivity revolutionizes secure communication with DataShielder NFC HSM. By integrating NFC technology with satellite signals, Samsung’s latest smartphones ensure encrypted data exchange anywhere. This technology benefits both civilian leaders and military operations, preventing identity theft and enhancing security. Discover how this innovative solution keeps you connected and protected in any situation. Read on to learn more about its advantages and applications.

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Samsung Unveils Satellite Connectivity

Samsung has introduced satellite connectivity in its Galaxy S24, S24+, S24 Ultra, Galaxy Z Fold 5, and Z Flip 5 models. This feature ensures users stay connected even without traditional cellular networks. By using direct communication with satellites for emergency SMS and calls, Samsung’s innovation promises to revolutionize secure communication.

Enhancing DataShielder NFC HSM Compatibility

These Samsung phones include NFC technology, making them compatible with all Freemindtronic’s NFC HSM products such as DataShielder NFC HSM Lite, DataShielder NFC HSM Master, and DataShielder NFC HSM Auth. This ensures users enjoy seamless and secure contactless encryption solutions.

Advantages of Contactless Encryption

Satellite connectivity offers several advantages for DataShielder NFC HSM users:

Continuous Secure Communications

Users securely exchange encrypted data even in areas without network coverage, ensuring DataShielder NFC HSM devices function effectively anywhere. This is crucial for maintaining secure communications in remote areas.

Enhanced Security

Data transmitted via satellite is less prone to interception and surveillance, further strengthening anti-espionage measures. DataShielder NFC HSM’s advanced security features are thus significantly enhanced.

Universal Usage

This technology enables anti-espionage devices to be used in any situation and location, whether in mountainous, desert, or maritime areas. Therefore, DataShielder NFC HSM users can stay connected and secure anywhere.

Protecting Data and Messaging

DataShielder NFC HSM provides advanced encryption solutions for all types of messaging, including SMS, emails, and instant messaging apps. Contactless encryption ensures that communications remain private and secure, protecting against interception attempts. This functionality is essential for maintaining data integrity.

Combating Identity Theft

DataShielder NFC HSM Auth

This solution offers secure user authentication, reducing the risk of identity theft. NFC technology and robust encryption ensure only authorized individuals can access sensitive information.

DataShielder NFC HSM Lite and Master

These devices provide advanced encryption for all communications and stored data, offering enhanced protection against cyberattacks and hacking attempts. This added security layer is invaluable for preventing unauthorized access.

Civil and Military Benefits

Satellite connectivity integrated with DataShielder NFC HSM technology benefits both civilian and military users:

Civil Applications

DataShielder NFC HSM ensures secure communication for government officials, emergency responders, and corporate executives. It protects sensitive information and ensures operational continuity during natural disasters or crises. This feature is vital for maintaining operations.

Military Applications

For military use, this combination provides robust encrypted communication channels critical for mission-critical operations. It enhances security in remote or hostile environments, ensuring strategic information remains confidential.

Harder to Triangulate Position

One significant advantage of satellite communication over GSM triangulation is its difficulty in pinpointing the phone’s location. Unlike GSM networks, which rely on signal strength from multiple cell towers to estimate a location, satellite communication typically requires a clear line of sight to the satellite. This makes unauthorized tracking harder and adds an extra layer of security for users concerned about location tracking.

Crisis Management

In natural disasters or emergencies, satellite connectivity maintains essential communications and coordinates rescue operations without relying on terrestrial infrastructure. DataShielder NFC HSM ensures communications stay encrypted and secure.

Technology Scalability

Satellite communication technology is evolving. Samsung is developing NTN 5G modems for more advanced bidirectional communications, promising more robust capabilities in the future.

Integration with Security Technologies

Combining satellite connectivity with other mobile security technologies, such as hardware encryption and mobile security management solutions (MSM), provides a comprehensive security solution. DataShielder NFC HSM thus offers complete, multi-layered protection.

Supporting Leadership and Anti-Identity Theft Initiatives

Satellite connectivity with DataShielder NFC HSM enables corporate leaders to issue encrypted directives from anywhere. This enhances operational efficiency and security. This feature is especially beneficial in combating identity theft, ensuring communications are always secure and authenticated.

Other Android Phones with Satellite Connectivity

Several other Android phones are also incorporating satellite connectivity. Google’s Pixel series, particularly the upcoming Pixel 9, is expected to feature this capability. Additionally, devices like the Motorola Defy Satellite Link can enable satellite connectivity on existing phones using Bluetooth.

In summary

The combination of satellite connectivity and NFC technology in Samsung’s new smartphones opens new perspectives for secure communications. This advancement is particularly beneficial for DataShielder NFC HSM users, enhancing their ability to protect their communications and sensitive data under any circumstances.

Fix BitLocker Access Issues After Faulty Crowdstrike Update

Person using PassCypher NFC HSM and EviKeyboard BLE USB to fix BitLocker access on an encrypted storage device.

How to Fix BitLocker Access Issues After the Faulty Crowdstrike Update and Securely Manage BitLocker Keys

Fix BitLocker access issues with this detailed guide that restores access to encrypted storage devices affected by a faulty Crowdstrike update. Learn how to remove problematic files and use PassCypher NFC HSM and EviKeyboard BLE for secure BitLocker key management.

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Restoring Access to Encrypted Storage Devices

This article provides a detailed guide to restore access to encrypted storage devices affected by a faulty Crowdstrike update. Learn how to remove problematic files and use PassCypher NFC HSM and EviKeyboard BLE for secure BitLocker key management.

Fixing BitLocker Access Issues

Remove Problematic CrowdStrike Files

Reboot in Recovery Mode Restart your computer and enter recovery mode by pressing F8 or F11 during startup.

Navigate to CrowdStrike Directory Go to %WINDIR%\System32\drivers\CrowdStrike.

Delete the Problematic File Identify and delete the file named “C-00000291*.sys”.

Restart Your Computer Reboot your computer normally. For detailed instructions, visit the Crowdstrike blog.

Use BitLocker Recovery Key

Start in Recovery Mode Boot your computer from a USB recovery drive.

Unlock the Drive Select “Unlock the drive” and enter your BitLocker recovery key.

Restore Access Once the drive is unlocked, access your data and apply necessary updates to prevent future issues. For more information, visit the Microsoft support page.

Using PassCypher NFC HSM and EviKeyboard BLE

Setting Up and Using NFC HSM Devices

PassCypher NFC HSM and DataShielder NFC HSM securely store and use up to 100 TPM 2.0, BitLocker, and BitLocker recovery keys.

Prepare the Hardware

  • PassCypher NFC HSM: A security module using NFC technology for key storage.
  • EviKeyboard BLE USB: A secure virtual keyboard for system interaction.

Initial Setup

  • Connect EviKeyboard to your computer via USB and enable BLE for a secure connection.
  • Insert the NFC card into the PassCypher HSM.

Authenticate and Unlock

  • Follow PassCypher instructions to authenticate the user.
  • Use EviKeyboard to access the BitLocker interface.
  • Pass the NFC HSM device under the phone’s antenna to transmit the key securely.

How PassCypher NFC HSM and EviKeyboard BLE Work

From the Freemindtronic app installed on a Bluetooth-paired Android phone (encrypted with AES 128), decryption or recovery keys are transmitted to the computer via the virtual keyboard.

Steps:

  1. Select the Key: Choose the key for the locked storage in the Freemindtronic app.
  2. Use NFC HSM: Pass the NFC HSM device under the phone’s antenna.
  3. Automatic Entry: The key is automatically entered into the command line or BitLocker window.

BitLocker and TPM 2.0 keys are stored encrypted in the NFC HSM, allowing for secure contactless unlocking from BIOS, before OS startup, or within Windows.

For a visual guide on using EviKeyboard BLE with the Freemindtronic app, you can watch this video.

Conclusion

Following these steps ensures secure and effective restoration of access to encrypted data. Using tools like PassCypher NFC HSM and EviKeyboard BLE USB enhances security, minimizing data loss risks. For additional details, visit the PassCypher and DataShielder resources.

Apple M chip vulnerability: A Breach in Data Security

Illustration of an Apple MacBook with a highlighted M-series chip vulnerability, surrounded by symbols of data security breach and a global impact background.

Apple M-Chip Vulnerability: Critical Risk

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Apple M chip vulnerability: uncover the critical security breach highlighted by MIT (CSAIL). Stay updated with our latest insights.

Apple M chip vulnerability and how to Safeguard Against Threats, by Jacques Gascuel, the innovator behind advanced sensitive data security and safety systems, provides invaluable knowledge on how data encryption and decryption can prevent email compromise and other threats.

Apple M chip vulnerability: uncovering a breach in data security

Researchers at the Massachusetts Institute of Technology’s (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL) have unveiled a critical hardware flaw within Apple’s M-series chips, dubbed the “Apple M chip vulnerability,” marking a significant breach in data security. This vulnerability, referred to as ‘GoFetch,’ highlights a concerning issue in the chips’ microarchitecture, potentially compromising the integrity of sensitive information stored on millions of devices. Unlike previous security flaws, this unpatchable vulnerability allows for the unauthorized extraction of cryptographic keys through a secondary channel during the execution of cryptographic protocols, posing a serious threat to data security across a broad spectrum of devices. The discovery underscores the vulnerability’s profound implications, as it affects not only the security of Apple devices but also the broader ecosystem relying on these cryptographic protocols.

Exploiting the Apple M Chip Vulnerability Without Elevated Privileges

A notable aspect of this vulnerability is its exploitation without the need for elevated privileges. Academic researchers have devised an application capable of retrieving cryptographic keys from other applications running the affected algorithms. This exploitation leverages the Data Memory-Dependent Prefetcher (DMP) within the chips, which can mistakenly interpret data as memory addresses, thereby enabling attackers to reconstruct secret keys.

The Risk to Users’ Sensitive Data

The implications of this vulnerability are far-reaching, affecting all common cryptographic algorithms, including those designed to be quantum-resistant. Researchers have demonstrated the successful extraction of RSA, DHKE, Kyber, and Dilithium keys, with extraction times varying from 49 minutes to 15 hours, depending on the algorithm. This vulnerability endangers the integrity of encrypted data, including sensitive personal and financial information.

The Mechanics Behind the Attack

The vulnerability arises from the architectural design of Apple’s M1, M2, and M3 chips, which, similar to Intel’s latest Raptor Lake processors, utilize caches to enhance performance. These caches can inadvertently mix up data with memory addresses, leading to potential data leakage. A well-designed cryptographic code should operate uniformly in time to prevent such vulnerabilities.

La Vulnérabilité des Puces M d’Apple: A Risk to Cryptocurrency Wallets

The discovery of this vulnerability also casts a shadow over the security of cryptocurrency wallets. Given the flaw’s capacity for cryptographic key extraction through side-channel attacks, users of cold wallets or hardware wallets connected to computers with vulnerable chips for transactions may face heightened risks. These vulnerabilities underscore the importance of assessing the security measures of cold wallets and hardware wallets against such exploits.

Impact on Cold Wallets and Hardware Wallets

Private key extraction poses a serious threat, especially when devices are connected to vulnerable computers for transactions. This vulnerability could compromise the very foundation of cryptocurrency security, affecting both local and remote attack scenarios.

Security Recommendations

Manufacturers of cold and hardware wallets must promptly assess and address their vulnerability to ensure user security. Users are advised to adhere to best security practices, such as regular updates and minimizing the connection of cold wallets to computers. An effective alternative is the utilization of Cold Wallet NFC HSM technology, such as Freemindtronic’s EviVault NFC HSM or EviSeed NFC HSM, embedded in Keepser and SeedNFC HSM products, offering robust protection against such vulnerabilities.

Apple M Chip Vulnerability: Unveiling the Unpatchable Flaw

This flaw, inherent to the microarchitecture of the chips, allows the extraction of cryptographic keys via a secondary channel during the execution of the cryptographic protocol.
This discovery of an “irreparable flaw” in Apple’s M-series chips could seriously compromise data security by allowing unauthorized extraction of encryption keys. This vulnerability constitutes a significant security flaw, posing a substantial risk to user data across various devices.

The Micro Architectural Rift and its Implications: Unveiling the Apple M Chip Vulnerability

Critical Flaw Discovered in Apple’s M-Chips

Moreover, the recent discovery of the ‘Apple M chip vulnerability’ in Apple’s M-series chips has raised major IT security concerns. This vulnerability, inherent in the silicon design, enables extraction of cryptographic keys through a side channel during the execution of standard cryptographic protocols. Furthermore, manufacturers cannot rectify this flaw with a simple software or firmware update, as it is embedded in the physical structure of processors.

Implications for Previous Generations

Additionally, the implications of the ‘Apple M chip vulnerability’ are particularly severe for earlier generations of the M-series, such as M1 and M2. Furthermore, addressing this flaw would necessitate integrating defenses into third-party cryptographic software, potentially resulting in noticeable performance degradation when performing cryptographic operations.

Hardware optimizations: a double-edged sword

Moreover, modern processors, including Apple’s M-series and Intel’s 13th Gen Raptor Lake microarchitecture, utilize hardware optimizations such as memory-dependent prefetching (DMP). Additionally, these optimizations, while enhancing performance, introduce security risks.

New DMP Research

Moreover, recent research breakthroughs have unveiled unexpected behavior of DMPs in Apple silicon. Additionally, DMPs sometimes confuse memory contents, such as cryptographic keys, with pointer values, resulting in data “dereference” and thus violating the principle of constant-time programming.

Additionally, we can conclude that the micro-architectural flaw and the unforeseen behaviors of hardware optimizations emphasize the need for increased vigilance in designing cryptographic chips and protocols. Therefore, addressing these vulnerabilities necessitates ongoing collaboration between security researchers and hardware designers to ensure the protection of sensitive data.

Everything you need to know about Apple’s M chip “GoFetch” flaw

Origin of the fault

The flaw, dubbed “GoFetch,” was discovered by researchers at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). It affects Apple’s M1, M2 and M3 chips and allows for the extraction of encryption keys, compromising data security1.

Level of hazardousness

The vulnerability is considered severe because it cannot be fixed by a simple software patch. Furthermore, it is due to a specific hardware optimization in the architecture of the chips, making it difficult to correct without significantly impacting the performance of the devices.

Apple’s response and actions taken

Moreover, to date, Apple has not yet officially communicated about this flaw. Security experts recommend the use of software solutions to mitigate risk, although this may reduce the performance of affected devices.

Source of the vulnerability report

The detailed report on this vulnerability has been published by CSAIL. For an in-depth understanding of the flaw and its implications, it is advisable to consult the full research paper provided by the researchers.

Understanding the ‘Apple M chip vulnerability’ and its ‘GoFetch’ flaw

Vulnerability Description

  • Data Memory-Dependent Prefetcher (DMP): Moreover, this function in Apple’s M chips is designed to improve performance by predicting and loading data that the CPU might need next. However, it has a vulnerability that can be exploited through a side-channel attack.
  • Side-Channel Attack: Additionally, the flaw allows attackers to observe the effects of the DMP’s operation, such as timing information, to infer sensitive data.
  • Encryption Key Extraction: Furthermore, by exploiting the DMP’s behavior, attackers can extract encryption keys that are used to secure data on the device. This includes keys from widely-used cryptographic protocols like OpenSSL Diffie-Hellman, Go RSA, CRYSTALS Kyber, and Dilithium.

Level of Hazardousness

Additionally, the “GoFetch” flaw is considered very dangerous because it is a hardware-level vulnerability. It cannot be fixed with a software update without potentially reducing chip performance.

The diagram illustrating the level of hazardousness of the micro-architectural flaw in the Apple M-Chip, specifically the “GoFetch” flaw, has been successfully created. Moreover, this visual representation captures the flaw’s inception at the Data Prefetching (DMP) function, its exploitation through the attack process, the subsequent extraction of encryption keys, and the final security impact, including compromised data privacy and security breaches.

Diagram showcasing the GoFetch vulnerability in Apple M-Chip, from data prefetching to security impact.
This diagram delineates the exploitation process of the GoFetch flaw in the Apple M-Chip, highlighting its hazardous impact on data security.
  1. Data Prefetching (DMP): Furthermore, a diagram component shows the DMP function, which is the initial target for the attack.
  2. Attack Process: Additionally, a flow demonstrates how the attacker exploits the DMP to initiate a side-channel attack.
  3. Encryption Key Extraction: Moreover, a depiction of the attacker successfully retrieving the encryption keys through the side-channel.
  4. Security Impact: Additionally, the final part of the diagram should show the potential risks, such as compromised data privacy and security breaches.

Impact and Timeline of Apple M1, M2, and M3 Chips: Assessing the ‘Apple M chip vulnerability’ Impact and Progression

The ‘Apple M chip vulnerability’ affects all Macs running Apple silicon, including M1, M2, and recent M3 chips. This includes a wide range of Mac and MacBook computers, which are now susceptible to side-channel attacks exploiting this vulnerability.

Apple computer affected by this flaw

The ‘Apple M chip vulnerability’ impacts a wide range of Apple hardware, starting with the launch of the first Mac system-on-chip, the M1, in November 2020. This hardware includes the M1, M1 Pro, M1 Max, M1 Ultra, M2, M2 Pro, M2 Max, M2 Ultra, M3, M3 Pro, and M3 Max chips.

Date Model Description
Nov 2020 M1 Introducing the M1 to MacBook Air, MacBook Pro, and Mac mini 13″
Apr 2021 M1 Launch of the iMac with M1 chip
Oct 2021 M1 Pro and M1 Max M1 Pro and M1 Max arrive in 14-inch and 16-inch MacBook Pros
March 2022 M1 Ultra M1 Ultra launches with Mac Studio
June 2022 M2 Next generation with the M2 chip
Jan. 2023 M2 Pro and M2 Max M2 Pro and M2 Max launch in 14-inch and 16-inch MacBook Pros, and Mac mini
June 2023 M2 Ultra M2 Ultra launches on Mac Studio and Mac Pro
Oct 2023 M3 M3 series with the M3, M3 Pro and M3 Max

To establish the extent of the problem of Apple’s M chip vulnerability and its consequences on a global scale, we sought to establish the most accurate statistics published on the internet to try to assess as accurately as possible the number of devices affected and the geographical scope of the impact.

The Magnitude of the ‘Apple M chip vulnerability’: Global Consequences and Statistics

The “GoFetch” vulnerability in Apple’s M chips has a potential impact on millions of devices around the world. Since the introduction of the M1 chip in November 2020, Apple has sold tens of millions of Mac computers with the M1, M2, and M3 chips, with a presence in more than 100 countries. This security flaw therefore represents a significant threat to data privacy and security on a global scale.

Potential Consequences:

  • Privacy breach: Because encryption keys can be extracted, sensitive user data is at risk.
  • Business impact: Organizations that rely on Apple devices for their operations could face costly data breaches.
  • Economic repercussions: Confidence in the safety of Apple products could be shaken, potentially affecting future sales.

It is crucial that users are aware of this vulnerability and take steps to secure their devices, pending an official response from Apple and potential solutions to mitigate the risks associated with this critical security breach.

Statistics

In terms of sales, Apple’s A and M chips have seen impressive growth, with a 54% increase in revenue, reaching $2 billion in the first quarter. This positive trend reflects the widespread geographic impact and growing adoption of Apple Silicon technologies.

Based on available data, here is an estimate of the number of Apple computers with the M1, M2, and M3 chips sold, broken down by geographic region:

Statistics Table Detailed Statistics

Based on available data, here is an estimate of the number of Apple computers with the M1, M2, and M3 chips sold, broken down by geographic region:

Region Estimated sales
Americas 2 millions
Europe 1.5 million
Greater China 1 million
Japan 500 000
Middle East 300 000
Africa 200 000
Asia-Pacific 300 000
Latin America 100 000
Eastern Europe 100 000

Estimated total: 6 million units sold.

These estimates underscore the importance of the “GoFetch” vulnerability and the need for Apple to effectively respond to this security flaw on a global scale.

These estimates are based on market shares and sales trends in these regions. They give an idea of the distribution of sales of Macs with the M1, M2, and M3 chips outside of major markets.

These figures are based on overall sales and may vary depending on the sources and methods of calculation. Still, they give an idea of the scale of Apple’s M-chip distribution around the world and highlight the importance of the “GoFetch” vulnerability on a global scale. It’s important to note that these numbers are estimates, and exact sales data by country isn’t always published by Apple or third-party sources.

What are the Safeguards?

The IT security expert community emphasizes the importance of developing software solutions to mitigate risk, even if it could lead to a significant decrease in the performance of affected devices. Solutions like DataShielder Defense NFC HSM, developed by Freemindtronic, offer hardware or hybrid countermeasures to secure encryption keys

DataShielder NFC HSM

DataShielder Defense NFC HSM, developed by Freemindtronic, offers advanced security measures to protect encryption keys against vulnerabilities such as “GoFetch.” Utilizing AES-256 and RSA-4096 encryption through an NFC HSM and/or hybrid hardware and software HSM PGP for data encryption as well as wifi, Lan, Bluetooth, and NFC communication protocols, DataShielder enables externalized encryption for Apple computers, ensuring the confidentiality and integrity of sensitive data. This solution is particularly beneficial for businesses and organizations handling highly sensitive information, providing them with robust cybersecurity and security against potential cyber threats.

DataShielder HSM PGP

DataShielder HSM PGP provides a secure hybrid HSM PGP platform solution for generating, storing, and managing PGP keys, offering end-to-end encryption for email communications via a web browser. By integrating mechanisms for creating secure containers on multiple hardware supports that can be physically externalized from the computer, DataShielder HSM PGP enhances the confidentiality and authenticity of email exchanges by encrypting emails, thus mitigating the risk of interception or tampering by malicious actors. This solution is ideal for all types of businesses, financial institutions, and companies requiring stringent data protection measures without the risk of relying on their computers’ security vulnerabilities.

DataShielder Defense

DataShielder Defense provides comprehensive protection against hardware vulnerabilities and cyber threats by combining hardware and software hybrid encryption compatible with all types of storage media, including NFC HSM. It incorporates the management of various standard symmetric and asymmetric encryption keys, including freely selectable Open PGP encryption algorithms by the user. By protecting sensitive data at the hardware level, without servers, without databases, and in total anonymity, DataShielder Defense ensures a very high level of security considered post-quantum, offering a wide range of applications, including data storage, communication, and processing. This solution is particularly advantageous for governmental entities and organizations dealing with classified information. It serves as a counter-espionage tool suitable for organizations looking to strengthen their cybersecurity posture and mitigate risks associated with very complex emerging threats.

In summary, DataShielder solutions provide effective countermeasures against hardware vulnerabilities like “GoFetch,” offering organizations reliable protection for their sensitive data and critical assets. Through continuous innovation and collaboration with industry partners, DataShielder remains at the forefront of data security, empowering organizations to defend against evolving cyber threats and protect their digital infrastructure.

Let’s summarize

The recent discovery of a vulnerability in Apple M chips, dubbed “GoFetch,” by MIT researchers raises major concerns about data security on devices equipped with these chips. This flaw potentially exposes millions of Mac computers worldwide to side-channel attacks, compromising the privacy of stored information.

In conclusion on the vulnerability of Apple M series chips: Addressing the critical Apple M chip vulnerability

The vulnerability discovered in Apple’s M-series chips, known as “GoFetch,” by researchers at MIT underscores the significant challenges facing hardware manufacturers in terms of security. Effective safeguards, both in software and hardware, are crucial to mitigate risks and uphold the security of sensitive user data. Collaboration among manufacturers, security researchers, and government entities is essential to develop robust solutions and ensure protection against emerging threats.

In conclusion, the prompt identification and resolution of hardware vulnerabilities like “GoFetch” are imperative for maintaining user confidence and safeguarding the integrity of IT systems. Continuous evaluation and implementation of technological advancements and security best practices are necessary to provide adequate protection against potential threats.

NFC vCard Cardokey: Revolutionizing Digital Networking

Cardokey NFC vCard Business: Edit, Read, and Import Contacts Seamlessly on iPhone.

NFC vCard Cardokey: Free Digital Networking Revolution

This article examines Cardokey’s capabilities to create and manage NFC vCard digital business cards without servers, without databases, without the need for account creation, highlighting its commitment to security, privacy and sustainability . Learn how Cardokey leverages NFC technology to facilitate environmentally friendly and secure business information exchanges. Click here to access Cardokey download links

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Dive into our Tech News section for an in-depth look at the Cardokey NFC vCard, designed by Jacques Gascuel, a pioneer in the field of secure, contactless solutions without the need for servers or databases. Stay up to date and secure with our frequent updates.

NFC vCard: Revolutionize Your Professional Networking

As the creator of Cardokey, I am thrilled to introduce an application revolutionizing the exchange of professional information. Utilizing NFC technology, Cardokey offers a groundbreaking, free, and secure way to create, share, and manage NFC vCard digital business cards without the constraints of traditional methods. Expanding its functionalities to iPhone users, Cardokey now allows for the reading and importing of NFC vCards—a previously costly iOS feature. Moreover, we are on the cusp of enabling Cardokey Pro to convert HSM PGP badges into versatile NFC HSM badges.

The Innovative Concept Behind NFC vCard Cardokey

Cardokey was conceived 3 years ago with the ambition to simplify the sharing of digital identities through secure, data protection law-compliant methods. The application enables anonymous, contactless NFC vCard exchanges, functioning without servers, databases, or account creation, and is designed to operate even in restrictive environments like Faraday cages or in airplane mode. This not only ensures maximum security and privacy but also underscores our commitment to environmental sustainability by repurposing NFC-enabled devices.

Development and Security Features of NFC vCard Cardokey

Crafted by Freemindtronic SL and introduced by Fullsecure Andorra, Cardokey will integrate EviBadge HSM PGP technology, utilizing NFC NDEF storage through EviSwap NFC NDEF technology. This integration ensures the secure storage of encrypted authentication data created by Cardokey Pro Badge. This collaboration enhances Cardokey’s capacity for efficient and secure NFC vCard management, ensuring user privacy and offering flexibility in diverse environments, such as offline or airplane mode.

Ecological Impact and Compliance

Cardokey champions eco-friendly practices in professional networking. We align with the UN’s Sustainable Development Goal #12, adhering to ISO 14001, Basel, and WEEE standards. This commitment not only reduces our carbon footprint but also promotes sustainable consumption and production. Cardokey stands as a beacon for environmental stewardship within the digital networking sphere.

Innovative Reuse of NFC Devices

At Cardokey, we see value in repurposing various NFC devices. From ski lift tickets to more mundane objects, we transform them into vessels of professional connectivity. This practice not only breathes new life into potential waste but also aligns with our vision for a sustainable, connected world. With Cardokey, every NFC device has the potential for a meaningful second act.

Comprehensive Overview of Cardokey NFC vCard Capabilities

Cardokey’s functionalities are pivotal in reshaping professional networking. Our detailed table outlines the vast array of features available to both Android and iPhone users. Cardokey simplifies the creation and management of digital business cards and NFC data, ensuring a seamless, secure, and eco-conscious networking experience.

Intelligent Dynamic NFC Memory Management

A standout feature of Cardokey is its intelligent dynamic NFC memory management. This advanced functionality automatically notifies users of the real available memory space of the NFC device in use. By providing an accurate understanding of the storage capabilities within the NDEF-formatted EEPROM, Cardokey enhances user experience, allowing for informed data storage decisions. This insight into the actual storage potential elevates Cardokey’s usability, ensuring optimal use of NFC device memory.

Cardokey Datasheet: Global Deployment and Multilingual Support

Cardokey revolutionizes digital networking. It integrates Freemindtronic’s NFC NDEF EviSwap technology and complies with IEC/ISO 14443 and ISO/IEC 15693 standards. This datasheet highlights its universal security and usability.

Category Feature Android NFC iPhone NFC Coming Soon
Creation Craft a vCard considering space  
  Manually create an NFC NDEF vCard  
  Generate a vCard from a contact  
  Edit NFC URLs for social networks  
  Customize NFC URLs  
Badge Mode Create an NFC badge from an encrypted QR Code created by Cardokey Pro    
Management/Administration Import NFC vCard to Phone contacts  
  Manage NFC card data (CRUD)  
  Handle NFC card contacts (CRUD)  
  Display contact on phone and card  
  Convert NFC to NDEF format    
  Automate NFC card memory management  
  Translate into 14 languages  
  HELP (function explanations)  

EviSwap technology enables smart, dynamic NFC memory management. It optimizes NFC device use and provides an intuitive user experience. Cardokey facilitates international NFC device recycling and the use of physical NFC products destined for disposal. It promotes environmental care and enables meaningful global exchanges.This merged section showcases Cardokey’s features, international standards compatibility, and commitment to a borderless user experience. It also emphasizes EviSwap technology’s role in enabling secure, sustainable digital transformation in professional networking.

Use Cases for Cardokey

Cardokey’s versatility supports numerous professional networking scenarios:

Eco-Friendly Digital Business Card Exchange:

  • Swap paper cards for NFC vCards to cut carbon footprint and embrace sustainable development.
  • Share professional details effortlessly at various networking events.
  • Update your contact info anytime without reprinting business cards.

Simplified Management of Digital Identities:

  • Securely store and easily access NFC vCards on your mobile device.
  • Manage multiple vCards for diverse professional roles.
  • Import NFC vCards from different apps or platforms.

Creative Reuse of NFC Devices:

  • Repurpose NFC items like ski passes into personal or professional vCards.
  • Revive unused NFC devices, reducing electronic waste.
  • Implement sustainable networking practices through innovative device reuse.

Enhanced Security and Privacy:

  • Discreetly exchange secure information and contacts via non-connected NFC supports.
  • Operate offline for increased privacy, without reliance on servers or databases.
  • Avoid sharing contact details through third-party apps.

Additional Features:

  • NFC vCards in 14 languages (Arabic, Catalan, Chinese, English, French, German, Hindi, Italian, Japanese, Portuguese, Romanian, Russian, Spanish and Ukrainian) enable global networking.
  • Intelligent NFC memory management for optimal storage space usage.
  • Built-in help feature for easy acclimatization.

Added Value of Cardokey

Lifetime Free Updates for NFC vCards:

  • Ensures your information is always current.
  • Highlights Cardokey’s user-focused design.
  • Demonstrates Cardokey’s dedication to user service and sustainability.

Usage of Recycled Materials:

  • Lowers carbon footprint.
  • Offers a responsible alternative for professionals.
  • Positions Cardokey as an innovative and committed solution.

Example with an NFC Ski Ticket:

  • Simplifies sharing memories or professional links.
  • Gives new purpose to otherwise discarded items.
  • Showcases Cardokey’s adaptability to various needs.

Bridging the Gap in Digital Networking

The capabilities of Cardokey extend far beyond simple contact exchange. Our dedication to innovation, security, and ease of use is evident across all features. Upcoming functionalities will further enhance secure, efficient, and green professional networking. With Cardokey, you’re not merely sharing a digital card; you’re making a profound statement about your professional identity in the digital age.

Let’s Summarize

Cardokey is not just an NFC vCard creation application; it is an innovation in many ways that I passionately want to bring to the world. First of all, this tool is free. It works immediately offline, without needing a server, database, or even creating an account to use it. First of all, it should be noted that Cardokey uses NFC technology. Its objective is to actively participate in the digital transformation of the use of business cards in a digital way. At the same time, my innovation demonstrates a strong commitment to safety, security, privacy and environmental sustainability, principles that are dear to me.

Additionally, Cardokey redefines and expands how professionals connect, share and manage their digital identities. Indeed, it promotes the reuse of many NFC devices, ensuring compliance with strict data protection standards. My innovation doesn’t stop there. Since it presents itself as a pioneering solution, respectful of the environment while taking its legitimate place in the field of digital networks for dual civil and military use through its scalable capacity for free services. It’s a seamless simultaneity of technology and sustainability, a vision I’m proud to see brought to life and made available to you for free.

In conclusion Cardokey: More Than an App, a Sustainable Networking Revolution

Cardokey is evolving into much more than just an app; it represents a significant leap forward for professional networking. By integrating NFC vCard technology, Cardokey facilitates not only an eco-friendly and secure exchange of professional information but also sets a new standard in the way we connect in our digital world. The future holds even greater possibilities with the introduction of advanced cyber defense features, positioning Cardokey as an indispensable tool in the landscape of modern professional networking.

Through innovation, security, and a steadfast commitment to ecological responsibility, Cardokey is reimagining what it means to network professionally. It’s not just about sharing a digital card; it’s about forging connections that are secure, private, and impactful, all while caring for our planet. As we continue to develop Cardokey, we are guided by a vision of a world where professional interactions are seamless, sustainable, and above all, secure.

Join us as we move forward into this new era of professional networking. With Cardokey, you’re not just adopting a new tool; you’re embracing a future where technology enhances our professional lives without compromising our values or the environment. Welcome to the future of networking with Cardokey – where innovation meets sustainability.

We Value Your Feedback

If Cardokey has enhanced your networking experience, consider sharing it with others. Your feedback is crucial to us. Please feel free to rate us on the Apple Store and the Play Store. Every star ✨ and comment helps.

Thank you for your support in shaping the future of Cardokey.

Quantum computing RSA encryption: a threat and a solution

Quantum computing RSA encryption
Quantum computing RSA encryption by Jacques Gascuel: This article will be updated with any new information on the topic.

Quantum computers RSA cryptography: how to secure your data

Quantum computers can break RSA encryption, which secures our online data. But there are solutions that are resistant to quantum attacks. One of them is Freemindtronic, an Andorran company that notably uses NFC HSM technology to share AES-256 keys using RSA-4096 encryption, which quantum computers cannot decipher.

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Quantum computing RSA encryption: a challenge and a solution

Quantum computing RSA encryption is a challenge for online security. Quantum computing is a new way of computing that uses quantum physics. It can do things that classical computers cannot or are too slow to do. One of these things is breaking RSA encryption, which secures data online. RSA encryption is based on the difficulty of factoring large numbers. Quantum computers can factor large numbers faster than classical computers. They use algorithms like Shor’s algorithm, which exploits quantum properties.

However, this threat is not imminent. Building and using quantum computers is still challenging and uncertain. Two recent announcements claimed to have cracked RSA encryption with quantum systems. But they have not been verified. The experts are skeptical and doubtful. They have not provided any evidence or details. They have made unrealistic or too good to be true claims. They have not been peer-reviewed or reproduced.

What is RSA encryption?

RSA encryption is a type of asymmetric encryption. It uses two keys: a public key and a private key. The public key can be shared with anyone, but the private key must be kept secret. They are mathematically related, but it is very hard to find the private key from the public key.

How does RSA encryption work?

RSA encryption uses large prime numbers to generate the keys. The public key and the private key are based on the product of two prime numbers. It is easy to multiply two prime numbers, but very hard to factor their product. For example, 17 x 23 = 391, but finding that 391 = 17 x 23 is much harder.

RSA encryption uses keys that are 2048 or 4096 bits long. These are numbers that have 2048 or 4096 binary digits (0 or 1). They are so large that it would take billions of years for a classical computer to factor them. Therefore, RSA encryption is very secure and widely used for online security.

What is quantum computing and how does it work?

Quantum computing is a new way of computing that uses quantum physics. It can do things that classical computers cannot or are too slow to do. Here is how it works:

  • Qubits: Quantum computers use quantum bits, or qubits. They can be 0 or 1, or both at the same time. This is called superposition. When we measure a qubit, it becomes either 0 or 1. This gives us more information than a classical bit, which is always 0 or 1.
  • Entanglement: Quantum computers can also use entanglement. This is when two qubits share a quantum state and affect each other, even if they are far apart. This allows us to manipulate multiple qubits at once and create complex quantum states.
  • Parallelism: Quantum computers can use these properties to perform parallel computations. This means they can do many calculations at the same time, using fewer qubits than classical bits. This can speed up some tasks that are hard for classical computers.

One of these tasks is breaking RSA encryption, which is based on factoring large numbers. Quantum computers can use a quantum algorithm, called Shor’s algorithm, to factor large numbers faster than classical computers. This can break RSA encryption by finding the private key from the public key. However, this requires a quantum computer with many qubits and low errors, which we do not have yet.

Quantum computing RSA encryption: a challenge and a solution

The ability to find an RSA private key from its public key by a quantum computer poses a serious threat to online security. However, this threat is not imminent, as there are still many challenges and uncertainties in building and using quantum computers. Two recent announcements have claimed to have cracked RSA encryption with quantum systems, but they have not been verified and have been met with skepticism and doubt from the experts. They have not provided any evidence or details of their work. They have made assumptions and claims that seem unrealistic or too good to be true. They have not been peer-reviewed or reproduced by other sources.

How quantum computers can break RSA encryption

RSA encryption is a type of asymmetric encryption. It uses two keys: a public key and a private key. The public key can be shared with anyone, but the private key must be kept secret. They are mathematically related, but it is very hard to find the private key from the public key.

RSA encryption uses large prime numbers to generate the keys. The public key and the private key are based on the product of two prime numbers. It is easy to multiply two prime numbers, but very hard to factor their product. For example, 17 x 23 = 391, but finding that 391 = 17 x 23 is much harder.

RSA encryption uses keys that are 2048 or 4096 bits long. These are numbers that have 2048 or 4096 binary digits (0 or 1). They are so large that it would take billions of years for a classical computer to factor them. Therefore, RSA encryption is very secure and widely used for online security.

Quantum computers can break RSA encryption by finding the prime factors of the composite number that is used to generate the public and private keys. Once the prime factors are known, the private key can be easily calculated from the public key, and the encrypted messages can be decrypted. Quantum computers can use a quantum algorithm, called Shor’s algorithm, to factor large numbers faster than classical computers. Shor’s algorithm can factor a large number in polynomial time, which means that the time it takes to factor a number grows relatively slowly as the number gets larger. In contrast, the best classical algorithms for factoring are exponential, which means that the time it takes to factor a number grows very fast as the number gets larger.

Two claims of breaking RSA encryption with quantum systems

Two recent announcements have raised concerns about quantum computing RSA encryption. One is from a team of Chinese researchers, who published a paper on arXiv in December 2022. They claim to have found a faster way to break RSA encryption with a quantum computer of 372 qubits. They combine a classical algorithm, called Schnorr’s algorithm, with a quantum algorithm, called QAOA (Quantum Approximate Optimization Algorithm). Schnorr’s algorithm is a method of factoring large numbers that uses a probabilistic approach and a lattice reduction technique. QAOA is a method of finding approximate solutions to optimization problems using a quantum computer.

The researchers say that by applying QAOA to the most computationally intensive step of Schnorr’s algorithm, they can reduce the number of qubits and the number of operations needed to factor a large number. They also say that they tested their method on a 10-qubit quantum computer and succeeded in factoring a 48-bit number. They extrapolate that their method can scale to factor a 2048-bit number, which is the standard for RSA encryption.

The other announcement is from a researcher named Ed Gerck, who posted on LinkedIn in November 2023. He claims to have decrypted RSA-2048 encryption, the most used public-key algorithm, with a quantum system implementable on a smartphone or a PC running Linux. He says that he developed a quantum algorithm that can calculate prime numbers faster than Shor’s algorithm and that he proved several mathematical conjectures, such as Goldbach’s conjecture. He published an excerpt of his work, but has not provided any proof or detail of his method.

Both announcements are not verified and have been met with skepticism and doubt from the experts. They have not provided any evidence or details of their work. They have made assumptions and claims that seem unrealistic or too good to be true. They have not been peer-reviewed or reproduced by other sources.

Quantum computing RSA encryption: possible solutions

How to protect RSA encryption from quantum attacks?

However, this announcement is not yet verified, and it raises many questions in the scientific community. It is therefore premature to draw hasty conclusions, and we must wait for the publication of the evidence of his work. It is also possible that RSA encryption can be adapted to resist quantum attacks, for example by increasing the length of the keys, or by using masking techniques. In addition, there are alternatives to RSA encryption, supposed to be more robust against quantum computing. These are post-quantum cryptography algorithms, based on other mathematical problems that are difficult to solve for quantum computers. Post-quantum cryptography is a very active field of research, which aims to anticipate the threats that quantum computers would pose to the security of communications. There are several potential candidates to replace RSA encryption, but they must be evaluated and compared in order to choose the most suitable ones for different needs and constraints. The NIST has launched an international competition to select and standardize the best post-quantum encryption algorithms, which should be ready by 2024.

What are the alternatives to RSA encryption?

Some of the alternatives to RSA encryption that are considered to be more resistant to quantum attacks are:

  • Lattice-based cryptography: This is based on the hardness of finding the shortest vector in a high-dimensional lattice, or the closest vector to a given point. Lattice-based cryptography has the advantage of being fast, versatile, and allowing for advanced features such as homomorphic encryption and digital signatures. Some examples of lattice-based algorithms are NTRU, BLISS, and NewHope.
  • Code-based cryptography: This is based on the hardness of decoding a general linear code, or finding the error vector in a noisy transmission. Code-based cryptography has the advantage of being simple, efficient, and having a long history of security analysis. Some examples of code-based algorithms are McEliece, Niederreiter, and BIKE.
  • Multivariate cryptography: This is based on the hardness of solving a system of multivariate polynomial equations over a finite field. Multivariate cryptography has the advantage of being compact, flexible, and allowing for various applications such as encryption, signatures, and identification. Some examples of multivariate algorithms are Rainbow, HFE, and GeMSS.
  • Hash-based cryptography: This is based on the hardness of finding collisions or preimages for a cryptographic hash function. Hash-based cryptography has the advantage of being simple, provably secure, and relying on minimal assumptions. Some examples of hash-based algorithms are XMSS, SPHINCS, and LMS.

How Freemindtronic protects data with RSA-4096 and NFC technology

Freemindtronic is an Andorran company that specializes in security and cybersecurity of information and computer systems. It designs and develops products and services based on NFC (Near Field Communication) technology, which allows wireless communication at short distance.

The HSM of Freemindtronic: devices that store and protect cryptographic keys

One of the products of Freemindtronic is the HSM (Hardware Security Module), which is a device that stores and protects cryptographic keys. The HSM of Freemindtronic uses two technologies: EviCore HSM OpenPGP and EviCore NFC HSM.

  • EviCore HSM OpenPGP is an implementation of the OpenPGP standard, an open standard for encryption and signature of data. It can manage symmetric and asymmetric encryption keys, both standard and OpenPGP. It can also create HSM on any type of storage device, such as key store, key chain, SD card, SSD, USB drive, NAS, cloud, etc. It can work in fixed, offline, or online mode (LAN/WAN).
  • EviCore NFC HSM is a technology that allows to share AES-256 standard keys using RSA-4096 standard encryption. It works without contact with NFC HSM, which use a pair of RSA-4096 keys for secret sharing (AES-256 encryption keys).

The AES-256 standard: a type of symmetric encryption with high level of security

The AES-256 standard is a type of symmetric encryption, which means that it uses the same key to encrypt and decrypt messages. The AES-256 standard offers a high level of security, as it uses keys that are 256 bits long, which are very hard to crack by brute force. The AES-256 standard is widely used for encrypting data and communications, such as files, emails, or messages.

The RSA-4096 encryption: a type of asymmetric encryption that protects the AES-256 keys from quantum attacks

However, the AES-256 standard requires that the key be securely transmitted between the sender and the receiver, without being intercepted, modified, or forged by an attacker. This is where the RSA-4096 encryption comes in, as it provides a way to protect the AES-256 keys from quantum attacks.

The RSA-4096 encryption is a type of asymmetric encryption, which means that it uses two different keys to encrypt and decrypt messages: a public key and a private key. The public key can be shared with anyone, while the private key must be kept secret. The RSA-4096 encryption uses keys that are 4096 bits long, which are out of reach of the current or future quantum computers. The RSA-4096 encryption can encrypt the AES-256 keys with the public key of the receiver, and decrypt them with the private key of the receiver. Thus, only the receiver can access the AES-256 keys, and use them to encrypt or decrypt the messages. The RSA-4096 encryption can also sign the AES-256 keys with the private key of the sender, and verify them with the public key of the sender. Thus, the receiver can ensure the identity of the sender, and the integrity of the AES-256 keys.

The RSA-4096 encryption is therefore an effective way to protect the AES-256 keys from quantum attacks, as it uses keys that are 4096 bits long, which are out of reach of the current or future quantum computers.

The RSA-4096 encryption is also a practical way to share the AES-256 keys between the HSM, as it uses the NFC technology, which allows wireless communication at short distance. The RSA-4096 encryption is therefore a major asset for the technologies of Freemindtronic, which offer an optimal security for the encryption of data.

Conclusion

Quantum computing is a new paradigm of computing that could break RSA encryption, the most common encryption method on the internet. With only 372 qubits, a quantum computer could break RSA encryption, exposing our online data and communications. However, there are solutions and alternatives that can resist quantum attacks. One of them is Freemindtronic, an Andorran company that uses NFC technology to share AES-256 standard keys using RSA-4096 standard encryption, which is beyond the reach of quantum computers. Freemindtronic’s technologies are based on the EviCore HSM OpenPGP and the EviCore NFC HSM, which are hardware devices that store and protect cryptographic keys. EviCore HSM OpenPGP transforms your smartphone, tablet or computer into a hardware security module compatible with the OpenPGP standard. EviCore NFC HSM allows you to store and use your crypto keys and secrets in a contactless NFC device, such as a card, a sticker, or a keychain. Both technologies offer features such as offline isolation, seamless integration, enhanced user experience, and multi-factor authentication. Therefore, Freemindtronic’s technologies are innovative and secure solutions for data and communication encryption, which can withstand quantum attacks and ensure the privacy and integrity of online activities.

Brute Force Attacks: What They Are and How to Protect Yourself

Brute Force Attacks Cyber Attack Guide
brute force attacks by Jacques Gascuel: This article will be updated with any new information on the topic.

Everything You Need to Know About Brute-force Attacks

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Brute-force Attacks: A Comprehensive Guide to Understand and Prevent Them

Brute Force: danger and protection 80% of cyberattacks are brute force attacks. This technique tests all combinations to find the password, key, URL or hash of a system. These attacks threaten the security of your data. How to protect yourself? What tools and practices to adopt? This article explains:

  • Brute force types and methods : they vary according to the hackers’ method, the intrusion level and the application domain.
  • Brute force on electronic components : physical or electrical techniques are used to target chips or boards.
  • Brute force on passwords, keys, URLs and hashes : software or network techniques are used to access websites, online accounts, encrypted files, etc.
  • Brute force on phone systems : code or key techniques are used to hack landlines, mobiles or VoIP services.
  • Protection from brute force on devices and domains : encryption, authentication, masking, verification or correction techniques can help you strengthen your security.
  • Resistance evaluation of products or services to brute force : a scoring model based on the attack type and severity can help you assess the risk.

Types and Methods of Brute-force Attacks

There are several types and methods of brute force attacks, depending on the hackers’ method, the level of intrusion, and the domain of application.

Hackers’ Method

Hackers can use different methods to perform brute force attacks, depending on the type of data they want to obtain or modify. Here are the most common ones:

  • Simple brute force attacks: hackers try to guess the password of a user without using software, based on personal information or common passwords. These attacks work against users who have weak and easy-to-guess passwords, such as “password”, “1234567890”, or “qwerty”.
  • Dictionary attacks: hackers use software that tries passwords from a predefined list of common words, such as those from a dictionary or a database. These attacks are faster than simple ones but less effective against complex and random passwords.
  • Hybrid brute force attacks: hackers combine the previous two methods by adding variations to the dictionary words, such as numbers, symbols, or capital letters. These attacks are more sophisticated and can crack more robust passwords but they take more time and resources.
  • Reverse brute force attacks: hackers target the username rather than the password, assuming that the password is easier to guess or obtain by other means. These attacks are useful to access accounts that use the same username on multiple sites or services.
  • Distributed brute force attacks: hackers use multiple computers or devices connected to the Internet to perform brute force attacks simultaneously on the same target. These attacks are more powerful and harder to detect because they distribute the load and avoid security measures such as attempt limits or IP blocks.
  • Non-invasive faster than brute force attacks: hackers exploit weaknesses in the design or implementation of a system to reduce the number of combinations to test to find a secret information. For example, they can use a technique called “side-channel cube attack” to break AES encryption in less than 10 minutes with a laptop.
  • Analogous attacks: hackers use methods similar to brute force attacks but that do not test all possible combinations. For example, they can use a technique called “binary search attack” to guess a PIN code in less than 20 tries by exploiting the system’s response (correct/incorrect).

Level of Intrusion

Brute force attacks can also be classified according to the level of intrusion they involve:

  • Invasive attacks: hackers access physically the system or device they want to hack, using for example a keyboard, a USB stick, or a cable. These attacks are more dangerous because they can bypass software or network protections but they require proximity with the target and a risk of being caught.
  • Non-invasive attacks: hackers do not need to access physically the system or device they want to hack; they do it remotely via Internet or wireless network. These attacks are more discreet and easier to perform but they can be blocked by firewalls, antivirus software or secure protocols.

Domain of Application

Hackers’ objectives and motivations determine the domains where they apply brute force attacks. Here are some examples:

  • The civil domain: Hackers use brute force attacks to access personal or professional accounts such as emails, social networks, online banks or cloud services. They can steal sensitive information, impersonate identities, extort money or harm the reputation of the victims.
  • The defense domain: Hackers compromise national or international security by targeting military, governmental or diplomatic systems with brute force attacks. They can spy, sabotage, destabilize or provoke conflicts between countries.
  • The ethical hacking domain: Hackers test the security of systems or devices with brute force attacks by putting themselves in the attackers’ shoes. They can identify and report flaws, improve protections or train users.
  • The research domain: Hackers advance science and technology by exploring the limits of systems or devices with brute force attacks. They can discover new possibilities, innovate or create new products.

Brute-force Attacks on Electronic Components

Brute force attacks are not limited to passwords or encryption keys. They can also target electronic components that store or process data such as chips or integrated circuit boards. These attacks aim to access encrypted or protected information that is in the hardware using physical or electrical techniques.

Invasive Attacks

Invasive attacks are attacks that require direct access to the hardware and that involve modifying or destroying it. These attacks are often used to reverse engineer or extract data from chips or smart cards. Here are some examples:

  • Decapsulation: this technique consists of removing the outer layer of protection of a chip to expose the silicon and the internal layers. This can be done mechanically or chemically for example with nitric acid.
  • Deprocessing: this technique consists of removing progressively the internal layers of a chip to access the transistors and the connections. This can be done with chemicals lasers or focused ion beams (FIB).
  • Removal of the passivation layer: this technique consists of removing the insulating layer that covers the surface of a chip to allow electrical contact with the bonding wires (the thin connections between the chip and the package).
  • Reverse engineering: this technique consists of analyzing the structure and the functioning of a chip or an integrated circuit board to extract the source code the algorithms or the vulnerabilities.
  • Micro-probing: this technique consists of using micro-probes (metal needles) to connect directly to the internal components of a chip or an integrated circuit board and interfere with the signals or extract data.
  • Instantaneous memory attack: this technique consists of freezing a chip or an integrated circuit board to preserve the data that is in the volatile memory (RAM) after cutting off the power supply. This technique allows bypassing the mechanisms of automatic erasure of sensitive data in case of intrusion attempt.
  • Securing pairing algorithms against physical attacks: this technique consists of protecting pairing algorithms which are used for identity-based encryption against physical attacks that aim to modify the behavior of the hardware. This technique uses mathematical methods to detect and correct errors induced by physical disturbances.

Non-invasive Attacks

Non-invasive attacks are attacks that do not need direct access to the hardware but that use auxiliary or hidden channels to obtain or modify data on chips or integrated circuit boards. These attacks exploit the physical characteristics of the hardware such as power consumption electromagnetic field acoustic noise or temperature. Here are some examples:

  • Side-channel attack: this technique consists of measuring a physical parameter related to the functioning of a chip or an integrated circuit board to deduce information about the operations it performs or the data it processes. For example it is possible to guess an encryption key by analyzing the power consumption of a chip while it encrypts or decrypts a message.
  • Fault injection attack: this technique consists of provoking an error in the functioning of a chip or an integrated circuit board by sending it an abnormal signal such as an electric pulse a light wave or ionizing radiation. This technique allows modifying the behavior of the hardware revealing hidden information or bypassing protections.
  • Software flaw attack: this technique consists of exploiting a vulnerability in the software that controls the functioning of a chip or an integrated circuit board to access or modify sensitive data. For example it is possible to take control of a router by using a flaw in its firmware (the internal software that controls the functioning of the hardware).
  • Hidden channel attack: this technique consists of exploiting information that is not directly related to the functioning of the targeted system such as noise temperature or time. For example it is possible to guess the PIN code of a phone by listening to the sound produced by the keys when entering it.

Brute-force Attacks on Passwords Encryption Keys Hidden URLs and Hashes

Passwords encryption keys hidden URLs and hashes are data that serve to protect access or confidentiality of information on Internet. Hackers can try to guess them using brute force attacks which consist in testing all possible combinations until they find the right one. These attacks can have serious consequences such as identity theft account hijacking message decryption or website hacking.

Attacks on Passwords

Passwords are secret codes that users enter to authenticate on a website or an online service. Hackers can try to guess them using brute force attacks simple dictionary hybrid reverse or distributed as we have seen previously. These attacks can allow hackers to access users’ accounts and steal their personal financial or

professional information. To protect themselves from these attacks, users should choose strong and unique passwords, use a password manager, enable two-factor authentication, and avoid phishing emails.

Attacks on Encryption Keys

Encryption keys are data that are used to encrypt or decrypt messages or files. They can be symmetric (the same key is used for encryption and decryption) or asymmetric (two different keys are used: a public key for encryption and a private key for decryption). Hackers can try to guess them using brute force attacks simple or distributed, by testing all possible combinations until they find the right one. These attacks can allow hackers to read or modify confidential messages or files.

To protect themselves from these attacks, users should choose long and random encryption keys, use secure encryption algorithms, do not disclose or store their encryption keys in insecure places, and use secure protocols to exchange their encryption keys with their correspondents, such as the Diffie-Hellman protocol or the SSL/TLS protocol.

Another type of brute force attack targets the data stored in the volatile memory of devices, such as computers and phones. Volatile memory is a type of memory that loses its content when the power supply is cut off. This makes it vulnerable to brute force attacks that aim to extract sensitive data from it, using physical or software techniques. In this section, we will explain what are brute force attacks on volatile memory, how they work, what are the risks and how to prevent them.

Tools for brute force attacks

There are many tools available for brute force attacks on different protocols or services. Some are used for malicious purposes, others for penetration testing or security audit. Here is a non-exhaustive list of tools for brute force attacks:

  • Hashcat: Hashcat claims to be the world’s fastest and most advanced password recovery tool based on CPU. It supports five unique modes of attack for over 300 optimized hashing algorithms.
  • Flipper Zero: a multifunctional device that allows you to perform brute force attacks on RFID, NFC, Bluetooth systems, etc.
  • Gobuster: a tool written in Go that allows you to perform brute force attacks on web directories, DNS subdomains, S3 buckets or virtual hosts.
  • BruteX: a shell-based tool that allows you to perform brute force attacks on different services such as FTP, SSH, Telnet, RDP, VNC, etc.
  • Dirsearch: a tool written in Python that allows you to perform brute force attacks on web directories and files.
  • Callow: a tool written in C# that allows you to perform brute force attacks on web forms.
  • SSB: a tool written in Perl that allows you to perform brute force attacks on SMTP servers.
  • THC-Hydra: a popular tool that allows you to perform brute force attacks on more than 50 protocols such as HTTP, HTTPS, FTP, SSH, Telnet, SMB, etc.
  • Burp Suite: a suite of tools that allows you to perform penetration testing on web applications, including brute force attacks on web forms or HTTP parameters.
  • Patator: a tool written in Python that allows you to perform modular brute force attacks on different services such as HTTP, FTP, SSH, SMTP, etc.
  • Pydictor: a tool written in Python that allows you to generate custom lists for brute force or dictionary attacks.
  • Ncrack: a tool that allows you to perform fast and flexible brute force attacks on different services such as RDP, SSH, Telnet, HTTP(S), POP3(S), etc.

Brute force attacks on volatile memory: a data security risk

Volatile memory is a type of memory that loses its content when the power supply is cut off. This is the case for the random access memory (RAM) of computers and phones, which temporarily stores data and programs that are running. Volatile memory has an advantage: it erases the traces of computer activity in case of power outage or system shutdown. But it also has a drawback: it can be targeted by brute force attacks aiming to recover the sensitive data it contains.

A brute force attack is a method that consists of testing all possible combinations of a password, an encryption key or an access code, until finding the right one. Brute force attacks can be performed using specialized software, which exploits the computing power of computers or networks of machines. Brute force attacks can take a lot of time, depending on the complexity and length of the password, key or code to guess.

Brute force attacks on volatile memory are attacks that aim to extract data stored in the RAM of a computer or a phone, using physical or software techniques. For example, it is possible to cool down the RAM with liquid nitrogen, which allows to preserve its content for a few minutes after the system shutdown. It is then possible to transfer the RAM to another device, and use a brute force software to decrypt the data it contains. It is also possible to use malicious software that infiltrates the system and accesses the RAM, bypassing software or hardware protections.

Brute force attacks on volatile memory pose a risk for data security, because they can allow hackers to access confidential information, such as passwords, encryption keys, personal or professional data, etc. These information can then be used to compromise other systems or services, or to extort the victims. To protect against these attacks, it is recommended to use passwords or keys that are long and complex enough, to encrypt data stored in the RAM, and to update software and hardware to benefit from the latest security measures.

To sum up, brute force attacks on volatile memory are a serious threat for data security, as they can allow hackers to access confidential information, such as passwords, encryption keys, personal or professional data, etc. These information can then be used to compromise other systems or services, or to extort the victims. To protect against these attacks, it is recommended to use passwords or keys that are long and complex enough, to encrypt data stored in the RAM, and to update software and hardware to benefit from the latest security measures.

Attacks on Hidden URLs

Hidden URLs are web addresses that are hidden or modified to avoid being easily accessible or identifiable. They can be used to protect the privacy or security of a website or an online service. For example, a website may use a hidden URL to prevent being indexed by search engines or targeted by hackers. Hackers can try to guess them using brute force attacks simple or distributed, by testing all possible combinations until they find the right one. These attacks can allow hackers to access hidden or forbidden websites, such as illegal, malicious, or sensitive websites.

To protect themselves from these attacks, users should choose long, complex, and random hidden URLs, do not use predictable or easy-to-guess hidden URLs, do not share or publish their hidden URLs with other people or on other websites, and use encryption or authentication techniques to enhance the security of their hidden URLs.

Attacks on Hashes

Hashes are data that result from applying a mathematical function to a message or a file. They are used to verify the integrity or authenticity of a message or a file, by comparing it to the original hash. They can also be used to store passwords securely, by transforming them into irreversible hashes. Hackers can try to guess them using brute force attacks simple, dictionary, or hybrid, by testing all possible combinations until they find the right hash. These attacks can allow hackers to falsify or reveal messages or files.

To protect themselves from these attacks, users should choose secure hashing functions that do not have collisions (two different messages that produce the same hash) or preimages (a message that produces a given hash), use salting (adding a random data to the message before hashing) or peppering (adding a secret data to the message before hashing) techniques to make hashes more resistant to brute force attacks, do not store or transmit their hashes in insecure places, and use secure protocols to exchange their hashes with their correspondents, such as the HMAC protocol or the SSL/TLS protocol.

Brute-force Attacks on Phone Systems

Phone systems are devices that allow communication by voice or text, such as landlines, mobile phones (smartphones), or VoIP services. Hackers can try to hack them using brute-force attacks that consist of guessing codes or keys. These attacks can allow hackers to access data or services of a phone system, such as contacts, messages, calls, payments, or subscriptions.

Attacks on PIN Codes

PIN codes are secret codes of four digits that are used to unlock a mobile phone or a SIM card. Hackers can try to guess them using brute force attacks simple or analogous by testing all possible combinations until they find the right one. These attacks can allow hackers to access data or services of the mobile phone or the SIM card.

To protect themselves from these attacks users should choose random and unpredictable PIN codes that do not contain numerical sequences easy to guess such as “0000” “1234” or “4321”. They should not write or share their PIN codes with other people. They should activate the function of automatic locking of the mobile phone or the SIM card after a certain number of unsuccessful attempts. They should activate the function of automatic reset of the mobile phone or the SIM card after a certain number of unsuccessful attempts.

Attacks on IMEI Codes

IMEI codes are unique codes of 15 digits that identify a mobile phone. They are used to block a mobile phone in case of theft or loss. Hackers can try to guess them using brute force attacks simple or distributed by testing all possible combinations until they find the right one. These attacks can allow hackers to unlock a stolen or lost mobile phone and use it for malicious purposes such as making fraudulent calls sending unwanted messages or accessing personal data of the owner.

To protect themselves from these attacks users should note their IMEI codes and keep them in a safe place. They should not disclose their IMEI codes to unknown or suspicious people. They should report the loss or theft of their mobile phone to their operator and request the blocking of their IMEI codes. They should use a service of location or remote locking of their mobile phone in case of loss or theft.

Attacks BrutePrint

You will surely be amazed by our discoveries! These systems verify your identity on smartphones and other devices by using the unique patterns of your finger. But is their security level? In this study, we explore the weaknesses of these systems and how various actors, from cybercriminals to sovereign entities, can exploit them. We looked at 25 techniques for corrupting fingerprint authentication systems. We will also introduce an effective dual-use defense solution: DataShielder HSM solutions to protect your secrets and sensitive data even if this biometric authentication system becomes compromised. Click is here for more information Attacks BrutePrint.

Evaluation of Products or Services Resistance to Brute-force Attacks

To evaluate the resistance of products or services to brute force attacks we can use a scoring model based on the type and severity of possible attacks. The scoring model can be as follows:

  • For each product or service we identify the possible types of brute force attacks that can target it such as passwords encryption keys hidden URLs hashes PIN codes or IMEI codes.
  • For each type of brute force attack we assign a score from 1 to 5 according to the severity of the attack. The score can be based on the following criteria: the complexity of the attack the time required to perform the attack the impact of the attack on the confidentiality integrity or availability of the data or service and the likelihood of the attack to succeed.
  • We calculate the average score for each product or service by adding up the scores for each type of brute force attack and dividing by the number of types. The lower the score the more resistant the product or service is to brute force attacks.

For example let’s consider two products: a web application and a smartphone. The possible types of brute force attacks and their scores are as follows:

Type of brute-force attack Web application Smartphone
Passwords 3 2
Encryption keys 4 3
Hidden URLs 2 N/A
Hashes 3 N/A
PIN codes N/A 2
IMEI codes N/A 4

The average score for the web application is (3 + 4 + 2 + 3) / 4 = 3. The average score for the smartphone is (2 + 3 + 2 + 4) / 4 = 2.75. Therefore, according to this scoring model, the smartphone is more resistant to brute force attacks than the web application.

Statistics on brute force attacks

Brute force attacks are common and effective methods used by hackers to access systems protected by passwords or encryption keys. According to the IBM Cost of a Data Breach 2022 report, stolen or compromised credentials are the leading cause of data breaches and cost an average of $4.35 million to businesses worldwide in 2021. Brute force attacks are also increasing with the health crisis, which has encouraged remote work and online services. According to Cloudflare, the number of brute force attacks on RDP and SSH protocols increased by 400% between March and April 2020.

The duration and difficulty of a brute force attack depend on the length and complexity of the password or key to guess. According to Cloudflare, a seven-character password would take, at a rate of 15 million keystrokes per second, 9 minutes to crack. An eight-character password would take 4 hours, a nine-character password would take 8 days, and a ten-character password would take 463 days. It is therefore essential to use passwords or keys that are long and random enough to resist brute force attacks.

Real Cases of Brute-force Attacks

Brute force attacks are not only theoretical methods, but also real threats that have affected various domains, such as finance, health, politics, etc. In this section, we will present some examples of brute force attacks that have taken place in recent years, and show their consequences and lessons.

Brute force attacks on financial institutions

Financial institutions are often targeted by brute force attacks, as they store sensitive data and money. For instance, in 2019, a group of hackers used brute force attacks to access the online banking systems of several banks in Eastern Europe and Central Asia. They stole over $100 million from more than 40,000 accounts. The hackers used a software called Cobalt Strike, which allowed them to remotely control the infected computers and launch brute force attacks on the banks’ servers. They also used a technique called “ATM cash-out”, which enabled them to withdraw money from ATMs without using cards.

This case shows the importance of using strong passwords and encryption keys for online banking systems, as well as updating the software and hardware to prevent malware infections. It also shows the need for monitoring and alerting mechanisms to detect and stop brute force attacks in real time.

Brute force attacks on health systems

Health systems are also vulnerable to brute force attacks, as they store personal and medical data that can be used for identity theft or blackmail. For example, in 2020, a hacker group called Maze used brute force attacks to breach the network of Fresenius, Europe’s largest private hospital operator. They encrypted the data and demanded a ransom for its release. The attack affected the hospital’s operations and patient care, as well as its subsidiaries that produce dialysis products and blood transfusion devices.

This case illustrates the impact of brute force attacks on human lives and health services. It also highlights the need for securing the network and data of health systems, as well as having backup and recovery plans in case of an attack.

Brute force attacks on political systems

Political systems are not immune to brute force attacks, as they can influence the outcome of elections or policies. For instance, in 2016, a hacker group called Fancy Bear used brute force attacks to access the email accounts of several members of the Democratic National Committee (DNC) in the United States. They leaked the emails to WikiLeaks, which published them online. The leaked emails revealed internal conflicts and controversies within the DNC, and damaged the reputation of Hillary Clinton, who was running for president against Donald Trump.

This case demonstrates the power of brute force attacks to manipulate public opinion and interfere with democratic processes. It also underscores the need for protecting the email accounts and communications of political actors, as well as educating the public about cyber threats and misinformation.

How to Prevent Brute-force Attacks

Brute force attacks are a serious threat to the security and privacy of users, systems, and devices. Therefore, it is important to take preventive measures to avoid or mitigate their impact. Here are some general tips to prevent brute force attacks:

  • Use strong and unique passwords, encryption keys, hidden URLs, hashes, PIN codes, and IMEI codes. They should be long, complex, and random, containing letters, numbers, and symbols. They should not be based on personal or predictable information, such as names, dates, or phone numbers.
  • Use secure encryption algorithms and hashing functions. They should not have known or exploitable flaws or weaknesses, such as collisions or preimages. They should have enough entropy (degree of unpredictability) to resist brute force attacks.
  • Use secure protocols and techniques to exchange and store data. They should provide encryption, authentication, verification, correction, masking, or salting features. They should use secure channels and devices to transmit and store data.
  • Use security software and hardware to protect systems and devices. They should include firewalls, antivirus software, sensors, or locks. They should detect and block brute force attacks or trigger self-destruction or data erasure mechanisms.
  • Use ethical hacking and research to test and improve the security of systems and devices. They should identify and report vulnerabilities, flaws, or weaknesses. They should provide solutions, innovations, or products to enhance the security of systems and devices.

In conclusion

In this article, we have explored the topic of brute force attacks, also known as trial-and-error or exhaustive attacks. We have seen that brute force attacks are methods used by hackers to access systems protected by passwords or encryption keys, by testing all possible combinations until finding the right one. We have also seen that there are different types and methods of brute force attacks, depending on the hackers’ method, the level of intrusion, the domain of application and the tools used. We have focused on some specific types of brute force attacks, such as those on electronic components, passwords, encryption keys, hidden URLs, hashes and phone systems. We have also evaluated the resistance of products or services to brute force attacks, by presenting some real cases and some criteria to assess the security level. Finally, we have given some tips on how to prevent brute force attacks, by using long and complex passwords or keys, encrypting data, updating software and hardware, and using security tools.

Brute force attacks are a serious threat for data security and privacy, as they can allow hackers to access confidential information, compromise other systems or services, or extort the victims. Therefore, it is essential to be aware of the risks and the solutions to protect yourself from brute force attacks. If you want to learn more about this topic, you can check the sources that we have cited throughout this article.

Are fingerprint systems really secure? How to protect your data and identity against BrutePrint

Fingerprint Systems Really Secure - How to Protect Your Data and Identity
Fingerprint Systems Really Secure by Jacques Gascuel: This article will be updated with any new information on the topic.

Fingerprint Security

You will surely be amazed by our discoveries! These systems verify your identity on smartphones and other devices by using the unique patterns of your finger. But is their security level? In this study, we explore the weaknesses of these systems and how various actors, from cybercriminals to sovereign entities, can exploit them. We looked at 25 techniques for corrupting fingerprint authentication systems. We will also introduce an effective dual-use defense solution: DataShielder HSM solutions to protect your secrets and sensitive data even if this biometric authentication system becomes compromised.

Fingerprint Biometrics: An In-Depth Exploration of Security Mechanisms and Vulnerabilities

It is a widely recognized biometric authentication system for identity verification. In this overview of fingerprint authentication systems, we will explore comprehensively to understand the complex world of fingerprint biometrics. Our goal is to provide a detailed exploration of these systems, their inner workings, vulnerabilities, and countermeasures.

Demystifying Fingerprint Systems: A Thorough Examination

Two fundamental components make up these systems: the fingerprint sensor and the comparison algorithm.:

The Fingerprint Sensor: Where Biometric Data Begins

These systems rely on an essential component: the fingerprint sensor. It captures the finger image and converts it into a digital format. Different types of sensors exist, each with their advantages and disadvantages:

  1. Optical sensors: They use light and a camera to create a high-resolution image.
  2. Capacitive sensors: They use an array of small capacitors to measure the differences in electrical charge between the ridges and valleys.
  3. Ultrasonic sensors: They use sound waves to create a three-dimensional image.
  4. Thermal sensors: They detect the heat emitted by the finger to generate an image.

The Comparison Algorithm: The Gatekeeper of Access

The comparison algorithm is a critical software component that analyzes the captured fingerprint image. Its role is vital:

  • Image Analysis: The algorithm scrutinizes the fingerprint image, extracting its unique features.
  • Template Comparison: It then compares these features to one or more stored templates, serving as reference fingerprints for authorized users.
  • Threshold Criteria: Access is granted if the algorithm determines a significant similarity between the captured image and a stored template, surpassing a predefined threshold. If not, the system considers the fingerprint invalid and denies access.

Fingerprint System Vulnerabilities and Attack Techniques

First, before evaluating attack techniques against fingerprinting systems, let’s explore different attack types, techniques, motivations, and strategies. In our thorough analysis of fingerprint system vulnerabilities, we must acknowledge numerous attack techniques employed by various actors. These techniques, driven by diverse motivations ranging from personal gain to malicious intent, illuminate the complexities of fingerprint system security. We’ve identified a total of twenty-five (25) distinct attack types, categorized into five groups in this study: “Electronic Devices for Biometric Attacks,” “Additional Fingerprint Attacks,” “Advanced Attacks,” “Attacks on Lock Patterns,” and “Attacks on Fingerprint Sensors.”

Attacks on Fingerprint Sensors

Fingerprint sensors, a common biometric authentication method, are vulnerable to several attack types and techniques update 23 february 2024:

ATTACK TYPE TECHNIQUE MOTIVATIONS STRATEGIES
Residual Fingerprint Attack Recovers the smartphone owner’s fingerprint left on surfaces, reproducing it. Identity theft, unauthorized access, or malicious purposes. Exploits traces of fingerprints on surfaces using materials like gelatin, silicone.
Code Injection Attack Injects malicious code to bypass fingerprint sensor security. Compromises device security for data theft or illicit activities. Exploits software vulnerabilities for unauthorized access to biometric data.
False Acceptance Attack The system accepts a fingerprint that doesn’t belong to the authorized user. Identity theft, unauthorized access, or malicious intentions. Can occur due to poor sensor quality, a high tolerance threshold, or similarity between different individuals’ fingerprints.
False Rejection Attack The system rejects a fingerprint that belongs to the authorized user. Identity theft, unauthorized access. Can occur due to poor sensor quality, a low tolerance threshold, environmental changes, or alterations to the user’s fingerprint.
Substitution Attack Tricks the system with an artificial fingerprint. Identity theft or unauthorized access. Can be done using materials like gelatin, silicone, latex, or wax.
Modification Attack Tricks the system with a modified fingerprint. Identity theft or to conceal the user’s identity. Can be done using techniques like gluing, cutting, scraping, or burning.
Impersonation Attack Tricks the system with another user’s fingerprint, either with their consent or by force. Identity theft using force, threats, bribery, or seduction. Uses the fingerprint of another user who has given consent or has been coerced into doing so.
Adversarial Generation Attack Tricks the system with images of fingerprints generated by an adversarial generative adversarial network (GAN). Bypasses liveness detection methods based on deep learning. Mimics the appearance of real fingerprints.
Acoustic Analysis Attack Tricks the system by listening to the sounds emitted by the fingerprint sensor during fingerprint capture. Can reconstruct the fingerprint image from acoustic signals. Use noise cancellation techniques, encrypt acoustic signals, or use liveness detection methods
Partial Print Attack Tricks the system with a partial fingerprint from the registered fingerprint. Increases the false acceptance rate by exploiting the similarity between partial prints of different users. Can use a portion of the registered fingerprint.
Privilege Escalation Attack Exploits vulnerabilities in the operating system or application to obtain higher privileges than those granted by fingerprint authentication Can access sensitive data, manipulate system files, perform unauthorized actions, or bypass security measures Use strong passwords, enforce multi-factor authentication, limit user privileges, patch system vulnerabilities, monitor user activities, and audit logs
Spoofing Attack Imitates a legitimate fingerprint or identity to deceive the system or the user Can gain access, steal information, spread malware, or impersonate someone. Use liveness detection methods, verify the authenticity, avoid trusting unknown sources, and report spoofing attempts
PrintListener: Side-channel Attack Utilizes acoustic signals from finger friction on touchscreens to replicate fingerprints Gain unauthorized access to devices and services protected by fingerprint authentication Implement noise interference, use advanced fingerprint sensors resistant to acoustic analysis, enable multifactor authentication, regularly update security protocols

For more information on new attack type “PrintListener” (a specific acoustic analysis attack), readers are encouraged to explore the detailed article at https://freemindtronic.com/printlistener-technology-fingerprints/.
These attacks expose vulnerabilities in fingerprint sensor technology and underline the need for robust security measures.

Attacks on Lock Patterns (For Lock Screen Authentication)

Lock patterns, often used on mobile devices for screen unlocking, are susceptible to various attack techniques:

ATTACK TYPE TECHNIQUE MOTIVATIONS STRATEGIES
Brute Force Attack Attempts all possible lock pattern combinations. Gains unauthorized device access. Systematically tests different pattern combinations.
Replica Fingerprint Attack Uses a 3D printer to create a replica fingerprint. Unauthorized access or identity theft. Produces a replica for sensor authentication.
Sensor Vulnerabilities Exploits sensor technology vulnerabilities. Compromises device security for malicious purposes. Identifies and exploits sensor technology weaknesses.
BrutePrint Attack Intercepts messages, emulating the fingerprint sensor. Gains unauthorized access, often with hardware components. Exploits communication protocol vulnerabilities.

These attacks target the vulnerabilities in lock pattern authentication and underscore the importance of strong security practices.

Advanced Attacks

Advanced attacks employ sophisticated techniques and technologies to compromise fingerprint systems:

ATTACK TYPE TECHNIQUE MOTIVATIONS STRATEGIES
Presentation Attack Presents manipulated images or counterfeit fingerprints. Espionage, identity theft, or malicious purposes. Crafts counterfeit fingerprints or images to deceive sensors.
Rapid Identification Attack Uses advanced algorithms to swiftly identify fingerprints. Corporate espionage, financial gain, or enhanced security. Quickly identifies fingerprints from extensive datasets.
Digital Footprint Attack Collects and analyzes the online data and activity of the target, using open source intelligence tools or data brokers Can obtain personal information, preferences, habits, or vulnerabilities of the target. Use privacy settings, delete unwanted data, avoid oversharing, and monitor online reputation

These advanced attacks leverage technology and data to compromise fingerprint-based security.

Network-Based Attacks

Network-based attacks are those that target the communication or data transmission between the device and the fingerprint authentication system. These attacks can compromise the integrity, confidentiality, or availability of the biometric data or the user session. In this section, we will discuss four types of network-based attacks: phishing, session hijacking, privilege escalation, and spyware.

ATTACK TYPE TECHNIQUE MOTIVATIONS STRATEGIES
Phishing Attack Technique: Phishing attacks involve sending fraudulent messages to victims, enticing them to click on a link or download an attachment. These malicious payloads may contain code designed to steal their fingerprints or redirect them to a fake website requesting authentication. Motivations: Phishing attacks are motivated by the desire to deceive and manipulate users into revealing their fingerprint data or login credentials. Strategies: Phishing attackers employ various tactics, such as crafting convincing emails, spoofing legitimate websites, and using social engineering to trick users.
Session Hijacking Attack Technique: Session hijacking attacks aim to intercept or impersonate an authenticated user’s session, exploiting communication protocol vulnerabilities or using spyware. Motivations: Session hijacking is typically carried out to gain unauthorized access to sensitive information or systems, often for financial gain or espionage. Strategies: Attackers employ packet sniffing, session token theft, or malware like spyware to compromise and take control of active user sessions.
Spyware Attack Technique: Spyware attacks infect the device with spyware to capture fingerprint data. Motivations: Spyware attacks are driven by the objective of illicitly obtaining biometric data for malicious purposes, such as identity theft or unauthorized access. Strategies: Attackers use spyware to secretly record and transmit fingerprint information, often through backdoors or covert channels, without the victim’s knowledge.
Predator Files Infects Android phones with a spyware application that can access their data, including fingerprint information. Sold to multiple governments for targeting political opponents, journalists, activists, and human rights defenders in over 50 countries. Use spyware detection and removal tools, update system software, avoid downloading untrusted applications, and scan devices regularly

As we can see from the table above, network-based attacks pose a serious threat to fingerprint authentication systems and users’ privacy and security. Therefore, it is essential to implement effective countermeasures and best practices to prevent or mitigate these attacks. In the next section, we will explore another category of attacks: physical attacks.

Electronic Devices for Biometric Attacks

Some electronic devices are designed to target and compromise fingerprint authentication systems. Here are some notable examples:

Device Description Usage STRATEGIES
Cellebrite UFED A portable device capable of extracting, decrypting, and analyzing data from mobile phones, including fingerprint data. Used by law enforcement agencies worldwide. Used by law enforcement agencies to access digital evidence on mobile phones. Applies substances to damage or obscure sensor surfaces.
GrayKey A black box device designed to unlock iPhones protected by passcodes or fingerprints using a “brute force” technique. Sold to law enforcement and government agencies for investigative purposes. Sold to law enforcement and government agencies for investigative purposes to unlock iPhones. Use strong passwords, enable encryption, disable USB access, and update system software.
Chemical Attacks Alters or erases fingerprints on sensors. Prevents identification or creates false identities. Use fingerprint enhancement techniques, verify the authenticity, and use liveness detection methods

These devices pose a high risk to biometric systems because they can allow malicious actors to access sensitive information or bypass security measures. They are moderate to high in ease of execution because they require physical access to the target devices and the use of costly or scarce devices. Their historical success is variable because it depends on the quality of the devices and the security of the biometric systems. They are currently relevant because they are used by various actors, such as government agencies, law enforcement, or hackers, to access biometric data stored on mobile phones or other devices. This comprehensive overview of attack types, techniques, motivations, and strategies is crucial for improving biometric authentication system security.

BrutePrint: A Novel Attack on Fingerprint Systems on Phones

Fingerprint systems on phones are not only vulnerable to spoofing or data breach attacks; they are also exposed to a novel attack called BrutePrint. This attack exploits two zero-day vulnerabilities in the smartphone fingerprint authentication (SFA) framework. BrutePrint allows attackers to bypass the attempt limit and liveness detection mechanisms of fingerprint systems on phones. It also enables them to perform unlimited brute force attacks until finding a matching fingerprint.

How BrutePrint Works

Fingerprint Systems Really Secure : BrutePrint

BrutePrint works by hijacking the fingerprint images captured by the sensor. It applies neural style transfer (NST) to generate valid brute-forcing inputs from arbitrary fingerprint images. BrutePrint also exploits two vulnerabilities in the SFA framework:

  • Cancel-After-Match-Fail (CAMF): this vulnerability allows attackers to cancel the authentication process after a failed attempt. It prevents the system from counting the failed attempts and locking the device.
  • Match-After-Lock (MAL): this vulnerability allows attackers to infer the authentication results even when the device is in “lock mode”. It guides the brute force attack.To perform a BrutePrint attack, attackers need physical access to the phone, a database of fingerprints, and a custom-made circuit board that costs about 15 dollars. The circuit board acts as a middleman between the sensor and the application. It intercepts and manipulates the fingerprint images.

How to Prevent BrutePrint

BrutePrint is a serious threat to phone users who rely on fingerprint systems to protect their devices and data. It shows that fingerprint systems on phones are not as secure as they seem. They need more robust protection mechanisms against brute force attacks. Some of the possible ways to prevent BrutePrint are:

  • Updating the phone’s software: this can help fix the vulnerabilities exploited by BrutePrint and improve the security of the SFA framework.
  • Using multifactor authentication: this can increase the level of security and reduce the risks of spoofing or brute force attacks. It combines fingerprint authentication with another factor, such as a password, a PIN code, a pattern lock screen ,or other trust criteria that allows patented segmented key authentication technology developed by Freemindtronic in Andorra .
  • Use of DataShielder HSM solutions: these are solutions developed by Freemindtronic in Andorra that allow you to create HSM (Hardware Security Module) on any device, without a server or database, to encrypt any type of data. DataShielder HSM solutions also include EviSign technology, which enables advanced electronic signing of documents. DataShielder HSM solutions are notably available in Defense versions, which offer a high level of protection for civil and/or military applications.

Assessing Attack Techniques: Ease of Execution and Current Relevance

In our pursuit of understanding fingerprint system vulnerabilities, it is crucial to assess not only the types and forms of attacks but also their practicality and current relevance. This section provides an in-depth evaluation of each attack technique, considering factors such as the ease of execution, historical success rates, and their present-day applicability.

Attack Techniques Overview

Let’s analyze the spectrum of attack techniques, considering their potential danger, execution simplicity, historical performance, and present-day relevance.

Attack Type Level of Danger Ease of Execution Historical Success Current Relevance
Residual Fingerprint Attack Medium Moderate Variable Ongoing
Code Injection Attack High Moderate Variable Still Relevant
Acoustic Analysis Attack Medium Low Fluctuating Ongoing Concerns
Brute Force Attack High Low Variable Contemporary
Replica Fingerprint Attack Medium Moderate Fluctuating Still Relevant
Sensor Vulnerabilities High Moderate Variable Ongoing Significance
BrutePrint Attack High High Variable Continues to Pose Concerns
Presentation Attack High Moderate Diverse Still Pertinent
Rapid Identification Attack High Low Variable Ongoing Relevance
Digital Footprint Attack High Low Fluctuating Currently Pertinent
Chemical Attacks High Low Variable Ongoing Relevance
Phishing Attack High Moderate Variable Modern Threat
Session Hijacking Attack High Low Variable Ongoing Relevance
Privilege Escalation Attack High Low Variable Remains Significant
Adversarial Generation Attack High Moderate Variable Still in Use
Acoustic Analysis Attack (Revisited) Medium Low Fluctuating Ongoing Concerns
Partial Print Attack Medium Low Variable Currently Relevant
Electronic Devices for Biometric Attacks High Moderate to High Variable Currently Relevant
PrintListener (Specific Acoustic Analysis Attack) High Moderate Emerging Highly Relevant

Understanding the Evaluation:

  • Level of Danger categorizes potential harm as Low, Moderate, or High.
  • Ease of Execution is categorized as Low, Medium, or High.
  • Historical Success highlights fluctuating effectiveness.
  • Current Relevance signifies ongoing concerns in contemporary security landscapes.

By assessing these attack techniques meticulously, we can gauge their practicality, historical significance, and continued relevance.

The type of attack by electronic devices for biometric systems is very dangerous because it can allow malicious actors to access sensitive information or bypass the protections of biometric systems. Its ease of execution is moderate to high, as it requires physical access to target devices and the use of expensive or difficult-to-obtain devices. Its historical success is variable because it depends on the quality of the devices used and the security measures implemented by the biometric systems. It is currently relevant because it is used by government agencies, law enforcement or hackers to access biometric data stored on mobile phones or other devices.

Statistical Insights into Fingerprint Systems

Fingerprint systems have found wide-ranging applications, from law enforcement and border control to banking, healthcare, and education. They are equally popular among consumers who use them to unlock devices or access online services. However, questions linger regarding their reliability and security. Let’s delve into some pertinent statistics:

According to Acuity Market Intelligence, 2018 saw more than 1.5 billion smartphones equipped with fingerprint sensors, constituting 60% of the global market.

The IAFIS Annual Report of 2020 revealed that more than 1.3 billion fingerprint records were stored in national and international databases in 2019.

According to the National Institute of Standards and Technology (NIST), the average false acceptance rate of fingerprint systems in 2018 was 0.08%, marking an 86% decrease compared to 2013.

These statistics shed light on the widespread adoption of fingerprint systems and their improved accuracy over time. Nevertheless, they also underline that these systems, while valuable, are not without their imperfections and can still be susceptible to errors or manipulation.

Real-World Cases of Fingerprint System Corruption: Phone Cases

Fingerprint system corruption can also affect phone users, who rely on fingerprint sensors to unlock their devices or access online services. However, these sensors are not foolproof and can be bypassed or exploited by skilled adversaries. These attacks can result in device theft, data breaches, or other security issues.

Here are some examples of fingerprint system corruption that involve phones:

  • German hacker Jan Krissler, alias Starbug, remarkably unlocked the smartphone of the German Defense Minister Ursula von der Leyen in 2014 using a high-resolution photo of her thumb taken during a press conference. He employed image processing software to enhance the photo’s quality and created a counterfeit fingerprint printed on paper.
  • A terrorist attack at the Istanbul airport killed 45 people and injured more than 200 in 2016. The investigators found that the three suicide bombers used fake fingerprints to enter Turkey and avoid security checks. They copied the fingerprints of other people from stolen or forged documents.
  • Researchers from Tencent Labs and Zhejiang University discovered in 2020 that they could bypass a fingerprint lock on Android smartphones using a brute force attack, that is when a large number of attempts are made to discover a password, code or any other form of security protection.
  • Experts from Cisco Talos created fake fingerprints capable of fooling the sensors of smartphones, tablets and laptops as well as smart locks in 2020, but it took them a lot of effort.
  • A case of identity theft was discovered in France in 2021, involving the use of fake fingerprints to obtain identity cards and driving licenses. The suspects used silicone molds to reproduce the fingerprints of real people, and then glued them on their fingers to fool the biometric sensors.
  • Researchers from the University of Buffalo developed a method in 2021 to create artificial fingerprints from images of fingers. These fingerprints can fool the sensors of smartphones, but also more advanced biometric systems, such as those used by police or airports.
  • A report by Kaspersky revealed in 2021 that banking apps on smartphones are vulnerable to attacks by falsified fingerprints. Attackers can use malware to intercept biometric data from users and use them to access their accounts.

These cases highlight the significant threats posed by fingerprint system corruption to phone users. Therefore, it is important to protect these systems against external and internal threats while integrating advanced technologies to enhance security and reliability.

DataShielder HSM: A Counter-Espionage Solution for Fingerprint System Security

You have learned in the previous sections that fingerprint systems are not foolproof. They can be corrupted by attacks that expose your secrets and sensitive data. To prevent malicious actors from capturing them, you need an effective and reliable encryption solution, even if your phone is compromised.

Freemindtronic, the leader in NFC HSM technologies, designed, developed, published and manufactured DataShielder HSM in Andorra. It is a range of solutions that you need. You can use either EviCore NFC HSM or EviCore HSM OpenPGP technology with DataShielder HSM. It lets you encrypt your data with segmented keys that you generate randomly yourself. The key segments are securely encrypted and stored in different locations. To access your secrets and your sensitive data encrypted in AES 256 quantum, you need to bring all segments together for authentication.

DataShielder HSM has two versions: DataShielder NFC HSM for civil and military use, and DataShielder NFC HSM Defense for sovereign use. DataShielder NFC HSM Defense integrates two technologies: EviCore NFC HSM and EviCore HSM OpenPGP. They allow you to create a hardware security module (HSM) without contact on any medium, without server, without database, totally anonymous, untraceable and undetectable.

DataShielder HSM is a user-friendly and compatible solution with all types of phone, with or without NFC, Android or Apple. It can be used for various purposes, such as securing messaging services, encrypting files or emails, signing documents or transactions, or generating robust passwords.

DataShielder HSM is a counter-espionage solution that enhances the security of fingerprint systems. It protects your data and secrets from unauthorized access, even if your fingerprint is compromised.

Current Trends and Developments in Fingerprint Biometrics

Fingerprint biometrics is a constantly evolving field. It seeks to improve the performance, reliability and security of existing systems. But it also develops new technologies and applications. Here are some current or expected trends and developments in this field.

  • Multimodality: it consists of combining several biometric modalities (fingerprint, face, iris, voice, etc.) to increase the level of security and reduce the risks of error or fraud. For example, some smartphones already offer authentication by fingerprint and facial recognition.
  • Contactless biometrics: it consists of capturing fingerprints without the need to touch a sensor. This technique avoids the problems related to the quality or contamination of fingerprints. And it improves the comfort and hygiene of users. For example, some airports already use contactless scanners to verify the identity of travelers.
  • Behavioral biometrics: it consists of analyzing the behavior of users when they interact with a biometric system. For instance, the way they place their finger on the sensor or the pressure they exert. This technique adds a dynamic factor to identification. And it detects attempts of impersonation or coercion. For example, some banking systems already use behavioral biometrics to reinforce the security of transactions.

Standards and Regulations for Fingerprint Systems

The use of fingerprint systems is subject to standards and regulations. They aim to ensure the quality, compatibility and security of biometric data. These standards and regulations can be established by international, national or sectoral organizations. Here are some examples of standards and regulations applicable to fingerprint systems.

  • The ISO/IEC 19794-2 standard: it defines the format of fingerprint data. It allows to store, exchange and compare fingerprints between different biometric systems. It specifies the technical characteristics, parameters and procedures to be respected to ensure the interoperability of systems.
  • The (EU) 2019/1157 regulation: it concerns the strengthening of the security of identity cards and residence permits issued to citizens of the European Union and their relatives. It provides for the mandatory introduction of two fingerprints in a digital medium integrated into the card. It aims to prevent document fraud and identity theft.
  • The Data Protection Act: it regulates the collection, processing and storage of personal data, including biometric data. It imposes on data controllers to respect the principles of lawfulness, fairness, proportionality, security and limited duration of data. It guarantees to data subjects a right of access, rectification and opposition to their data.

Examples of Good Practices for Fingerprint System Security

Fingerprint systems offer a convenient and effective way to authenticate people. But they are not without risks. It is important to adopt good practices to strengthen the security of fingerprint systems and protect the rights and freedoms of users. Here are some examples of good practices to follow by end users, businesses and governments.

  • For end users: it is recommended not to disclose their fingerprints to third parties, not to use the same finger for different biometric systems, and to check regularly the state of their fingerprints (cuts, burns, etc.) that may affect recognition. It is also advisable to combine fingerprint authentication with another factor, such as a password or a PIN or other trust criteria that allows the patented segmented key authentication technology developed by Freemindtronic in Andorra.
  • For businesses: it is necessary to comply with the applicable regulation on the protection of personal data, and to inform employees or customers about the use and purposes of fingerprint systems. It is also essential to secure biometric data against theft, loss or corruption, by using encryption, pseudonymization or anonymization techniques.
  • For governments: it is essential to define a clear and consistent legal framework on the use of fingerprint systems, taking into account ethical principles, fundamental rights and national security needs. It is also important to promote international cooperation and information exchange between competent authorities, in compliance with existing standards and conventions.

Responses to Attacks

Fingerprint systems can be victims of attacks aimed at bypassing or compromising their operation. These attacks can have serious consequences on the security of people, property or information. It is essential to know how to react in case of successful attack against a fingerprint system. Here are some recommendations to follow in case of incident.

  • Detecting the attack: it consists of identifying the type, origin and extent of the attack, using monitoring, auditing or forensic analysis tools. It is also necessary to assess the potential or actual impact of the attack on the security of the system and users.
  • Containing the attack: it consists of isolating the affected system or the source of the attack, by cutting off network access, disabling the biometric sensor or blocking the user account. It is also necessary to preserve any evidence that may facilitate investigation.
  • Notifying the attack: it consists of informing competent authorities, partners or users concerned by the attack, in compliance with legal and contractual obligations. It is also necessary to communicate on the nature, causes and consequences of the attack, as well as on the measures taken to remedy it.
  • Repairing the attack: it consists of restoring the normal functioning of the fingerprint system, by eliminating the traces of the attack, resetting the settings or replacing the damaged components. It is also necessary to revoke or renew the compromised biometric data, and verify the integrity and security of the system.
  • Preventing the attack: it consists of strengthening the security of the fingerprint system, by applying updates, correcting vulnerabilities or adding layers of protection. It is also necessary to train and raise awareness among users about good practices and risks related to fingerprint systems.

Next Steps for Fingerprint Biometrics Industry

Fingerprint biometrics is a booming field, which offers many opportunities and challenges for industry, society and security. Here are some avenues for reflection on the next steps for this field.

  • Research and development: it consists of continuing efforts to improve the performance, reliability and security of fingerprint systems, but also to explore new applications and technologies. For example, some researchers are working on artificial fingerprints generated by artificial intelligence, which could be used to protect or test biometric systems.
  • Future investments: it consists of supporting the development and deployment of fingerprint systems, by mobilizing financial, human and material resources. For example, according to a market study, the global market for fingerprint systems is expected to reach 8.5 billion dollars in 2025, with an average annual growth rate of 15.66%.
  • Expected innovations: it consists of anticipating the needs and expectations of users, customers and regulators, by offering innovative and adapted solutions. For example, some actors in the sector envisage creating fingerprint systems integrated into human skin, which could offer permanent and inviolable identification.

Conclusion

Fingerprint systems are a convenient and fast way to authenticate users, based on their unique fingerprint patterns. They have many applications in device protection and online service access. However, these systems are not immune to attacks by skilled adversaries, who can manipulate and exploit them. These attacks can lead to unauthorized access, data breaches, and other security issues.

To prevent these threats, users need to be vigilant and enhance security with additional factors, such as PINs, passwords, or patterns. Moreover, regular system updates are crucial to fix emerging vulnerabilities.

Fingerprint systems are still a valuable and common form of authentication. But users must understand their weaknesses and take steps to strengthen system integrity and data protection. One of the possible steps is to use DataShielder HSM solutions, developed by Freemindtronic in Andorra. These solutions allow creating HSM (Hardware Security Module) on any device, without server or database, to encrypt and sign any data. DataShielder HSM solutions also include EviSign technology, which allows electronically signing documents with a legally recognized value. DataShielder HSM solutions are available in different versions, including Defense versions, which offer a high level of protection for civil and military applications.