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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Explore our Tech News to see how satellite connectivity and DataShielder NFC HSM secure your communications. Learn to manage encrypted directives anywhere with insights from Jacques Gascuel. Stay updated on the latest tech solutions.
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.
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.
Learn about the critical Apple M-chip flaw, a micro-architectural vulnerability that threatens data security. This article reveals the attack process exploiting data prefetching and encryption key extraction, highlighting the major security impact. Essential reading to understand and anticipate the risks linked to this alarming discovery.
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.
This diagram delineates the exploitation process of the GoFetch flaw in the Apple M-Chip, highlighting its hazardous impact on data security.
Data Prefetching (DMP): Furthermore, a diagram component shows the DMP function, which is the initial target for the attack.
Attack Process: Additionally, a flow demonstrates how the attacker exploits the DMP to initiate a side-channel attack.
Encryption Key Extraction: Moreover, a depiction of the attacker successfully retrieving the encryption keys through the side-channel.
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.
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:
Optical sensors: They use light and a camera to create a high-resolution image.
Capacitive sensors: They use an array of small capacitors to measure the differences in electrical charge between the ridges and valleys.
Ultrasonic sensors: They use sound waves to create a three-dimensional image.
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
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.
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
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.
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.
WhatsApp hacking by Jacques Gascuel has been updated as of September 20, 2024. This article will continue to be updated with the most recent findings, including new vulnerabilities like the “View Once” flaw and other Remote Code Execution (RCE) exploits. Stay tuned for ongoing updates on the evolving landscape of WhatsApp security and best practices to protect your data.
How to Secure WhatsApp
WhatsApp hacking is a growing concern as this popular messaging app is increasingly targeted by hackers seeking access to your personal and business data. How can you protect yourself from WhatsApp hacking, and what should you do if it happens? In this article, you’ll learn some tips and tricks to improve your WhatsApp security, as well as innovative encryption technology solutions from Freemindtronic that can significantly enhance your protection.
How to Prevent and Solve WhatsApp Hacking Issues with Freemindtronic’s Solutions
WhatsApp, with over 2 billion users worldwide, remains a prime target for hackers. Despite its popularity, WhatsApp is not immune to hacking, which can severely compromise the security and privacy of your conversations. So, how can you protect your WhatsApp account from hacking, and what should you do if it gets hacked?
The Risks of WhatsApp Hacking
WhatsApp hacking can have serious consequences for victims. Hackers can gain access to all personal and sensitive information stored in the app, including messages, photos, videos, contacts, and groups. They can impersonate the victim, sending fraudulent or malicious messages to contacts. These messages can request money or trick recipients into clicking on infected links. Furthermore, hackers can spread false information or illegal content using the compromised account.
WhatsApp hacking can also impact a victim’s professional life, especially if they use the app for business communication. Hackers can access confidential data like contracts, quotes, or project details. They can also damage the victim’s reputation by sending abusive or defamatory messages to professional contacts.
The Techniques of WhatsApp Hacking
Hackers employ various techniques to breach WhatsApp accounts, including:
Phishing: Hackers send deceptive messages or emails that appear to be from official services like WhatsApp, Google, or Apple. These prompts encourage the victim to click on a link or provide personal information. This link usually leads to a fraudulent site designed to steal the victim’s data.
Voice Mail Exploitation: Hackers exploit flaws in the WhatsApp authentication process by dialing the victim’s phone number and attempting to access their WhatsApp account. If the victim’s phone is off or in airplane mode, the verification code sent via SMS or call may go to voicemail. Hackers can retrieve it using default or guessed voicemail codes.
QR Code Scanning: This technique takes advantage of WhatsApp Web by scanning a QR code displayed on a computer with the victim’s smartphone. A hacker can then access the WhatsApp account on their own computer.
Recent WhatsApp Vulnerabilities
In addition to these techniques, new vulnerabilities have emerged that pose significant risks to WhatsApp users:
Remote Code Execution Vulnerabilities: In late 2023, two critical remote code execution (RCE) vulnerabilities were discovered in WhatsApp. These vulnerabilities, identified as CVE-2023-5668 and CVE-2023-38831, allowed attackers to execute arbitrary code on a victim’s device through specially crafted video files or other exploitative methods. Although WhatsApp has since patched these vulnerabilities, they underscore the importance of keeping the app updated to avoid potential exploitation.
Xenomorph Malware: The Xenomorph Android malware has evolved into a significant threat to Android users, including those using WhatsApp. This malware disguises itself as legitimate apps and can bypass multi-factor authentication to steal credentials and take over user accounts. Its capabilities include stealing data from both banking apps and cryptocurrency wallets, potentially targeting WhatsApp accounts as well.
Dark Web Exploits: The demand for zero-day vulnerabilities, especially for apps like WhatsApp, has surged. These vulnerabilities are being sold for millions of dollars on the dark web, highlighting their value to hackers. Such exploits could allow attackers to bypass security measures and gain unauthorized access to user data. It is crucial to stay informed about the latest patches and updates released by WhatsApp to mitigate these risks.
New Vulnerability Found in WhatsApp’s “View Once” Feature
WhatsApp’s “View Once” feature, designed to enhance privacy by making media disappear after just one view, has recently revealed a serious security vulnerability. Discovered by Zengo X, this flaw lets attackers bypass the feature, especially on web and desktop versions.
Vulnerability Details
While mobile devices effectively prevent screenshots and saving media, the protection doesn’t extend as well to non-mobile platforms. Zengo X researchers found that browser extensions, like those available for Chrome, can easily modify WhatsApp’s code. They disable the “View Once” flag, turning temporary messages into permanent ones. This allows attackers to save, forward, and view messages repeatedly.
Moreover, messages marked as “View Once” are sent to all devices linked to the recipient. This includes those that shouldn’t handle this feature, such as web and desktop platforms. Attackers can exploit this loophole and save media on these platforms. Additionally, these messages remain stored on WhatsApp servers for up to two weeks, increasing the risk of potential abuse.
Meta’s Response
Meta, the parent company of WhatsApp, has responded after Zengo X responsibly disclosed the flaw. Meta confirmed they are currently rolling out patches, focusing on securing web versions of WhatsApp. However, this interim measure isn’t the final fix. A more comprehensive update is expected to address the vulnerability fully.
Meta’s bug bounty program played a critical role in identifying this issue. They are working towards a full patch and encourage users to remain cautious. Specifically, Meta suggests sharing sensitive media only with trusted contacts during this period.
Ongoing Concerns
While Meta is working on a complete fix, users should remain aware of the limitations in the current “View Once” feature. The vulnerability allows attackers not only to bypass the feature but also to access low-quality media previews without downloading the entire message. Attackers can also manipulate the system by changing the “view once” flag to “false,” making the message permanent.
Security experts, like Tal Be’ery of Zengo X, have emphasized that this flaw creates a “false sense of privacy”. Users think their messages are secure when, in reality, they are vulnerable on certain platforms.
Recommendations
Until a final patch is released, users should exercise caution when using the “View Once” feature. Sharing sensitive information through the web and desktop versions of WhatsApp is risky. It’s better to send such messages only to trusted contacts.
For more in-depth details, you can read the full technical report by Zengo X here.
More Recent WhatsApp Vulnerabilities
WhatsApp has recently addressed several other serious security vulnerabilities that could put users at risk. While updates have been rolled out, these issues demonstrate why keeping WhatsApp updated is crucial.
WhatsApp fixed two critical remote code execution (RCE) vulnerabilities in 2024. The first, identified as CVE-2022-36934, affected the Video Call Handler. Attackers could exploit this flaw by initiating a video call, leading to an integer overflow that let them take control of the device. The second, CVE-2022-27492, was found in the Video File Handler. It allowed attackers to execute malicious code when users opened a specially crafted video file.
These flaws impacted both iOS and Android users with WhatsApp versions prior to 2.22.16.12 for Android and 2.22.15.9 for iOS. Users are strongly advised to update their apps to protect against such risks.
Enhancing WhatsApp Security
To combat the increasing risks of hacking, WhatsApp introduced several new security features. These enhancements provide significantly stronger protection against unauthorized access and malware attacks.
Account Protect adds an extra layer of security when transferring your WhatsApp account to a new device. This feature requires confirmation from your old device, making it much harder for unauthorized users to take over your account.
Device Verification is another critical update. It prevents advanced malware attacks that attempt to hijack your WhatsApp account. By introducing automated security tokens, WhatsApp ensures that your account remains protected, even if your device is compromised.
Additionally, Automatic Security Codes streamline the verification of secure connections. WhatsApp has introduced a feature called Key Transparency, which automates this process. This ensures your conversations are secure without requiring manual intervention, offering further protection against WhatsApp hacking.
To learn more about these new security features, check out WhatsApp’s official blog post.
Enhancing WhatsApp Security with DataShielder NFC HSM, DataShielder HSM PGP, and PassCypher NFC HSM
For even greater security, especially in scenarios where your credentials might be compromised, integrating advanced hardware security modules (HSM) like DataShielder NFC HSM, DataShielder HSM PGP, or PassCypher NFC HSM can significantly fortify your defenses.
DataShielder NFC HSM securely stores and manages encryption keys on a hardware device, ensuring that even if your credentials are exposed, your encrypted data remains inaccessible. You can explore the DataShielder NFC HSM Starter Kit here.
DataShielder HSM PGP provides robust protection for your WhatsApp messages by using PGP encryption. This ensures that all communications are encrypted with strong cryptographic keys securely stored on the HSM.
PassCypher NFC HSM enhances security by generating one-time passwords (OTP) using TOTP or HOTP methods. Even if your static credentials are compromised, the dynamic passwords generated by PassCypher prevent unauthorized access. This, combined with secure key management, makes it nearly impossible for attackers to access your account. Learn more about PassCypher NFC HSM here.
These technologies add critical layers of defense, ensuring that your WhatsApp communications are protected from even the most sophisticated hacking attempts.
Preventive Measures Against WhatsApp Hacking
WhatsApp hacking can affect any user and have serious implications for both private and professional lives. Therefore, it’s crucial to adopt simple yet effective preventive measures, such as activating two-step verification, using fingerprint or face recognition, and changing your voicemail code regularly. Additionally, incorporating advanced technological solutions like those offered by Freemindtronic, such as EviCrypt, EviFile, DataShielder, and PassCypher, can further enhance your security by encrypting texts and files directly within WhatsApp, using physical origin trust criteria.
With these robust measures in place, you can greatly reduce the risk of WhatsApp hacking, ensuring that your sensitive data remains secure.
