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A group of academics from Tel Aviv University have disclosed details of now-patched "severe" design flaws affecting about 100 million Android-based Samsung smartphones that could have resulted in the extraction of secret cryptographic keys. The shortcomings are the result of an analysis of the cryptographic design and implementation of Android's hardware-backed Keystore in Samsung's Galaxy S8, S9, S10, S20, and S21 flagship devices, researchers Alon Shakevsky, Eyal Ronen, and Avishai Wool  said . Trusted Execution Environments ( TEEs ) are a secure zone that provide an isolated environment for the execution of Trusted Applications (TAs) to carry out security critical tasks to ensure confidentiality and integrity. On Android, the hardware-backed  Keystore  is a system that facilitates the creation and storage of cryptographic keys within the TEE, making them more difficult to be extracted from the device in a manner that prevents the underlying operating system fr...

SIM cards are among the most widely-deployed computing platforms with over 7 billion cards in active use. Cracking SIM cards has long been the Holy Grail of hackers because the tiny devices are located in phones and allow operators to identify and authenticate subscribers as they use networks. A German cryptographer Karsten Nohl, the founder of Security Research Labs claims to have found encryption and software flaws that could affect millions of SIM cards, and allows hackers to remotely gain control of and also clone certain mobile SIM cards. This is the first hack of its kind in a decade. Nohl will be presenting his findings at the Black Hat security conference this year. He and his team tested close to 1,000 SIM cards for vulnerabilities, exploited by simply sending a hidden SMS. According to him, Hackers could use compromised SIMs to commit financial crimes or engage in espionage. Once a hacker copies a SIM, it can be used to make calls and send text messages imper...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...

The capillary diffusion of mobile devices, the lack of security systems on these platforms and low level of awareness on principal cyber threats made them a privileged target for cybercrime. We have assisted in the recent year to an explosion of malware designed to hit principal mobile OSs, in a recent report Sophos security firm revealed that in Australia and the U.S. Android threat exposure rates exceeding those of PCs showing the urgency to implement proper countermeasures. The situation appears really critical that why I asked to the expert of Group-IB Forensics Lab to show me how these agents work with a really case study. Several month ago Group-IB Forensics Lab detected mobile-banking malware through Google Play by Sberbank request (Russian leading national bank).  The File associated to the malware was named sber.apk , it was an Android Package having size of 225,905 bytes and digest md5: F27D43DFEEDFFAC2EC7E4A069B3C9516 . Analyzing the functionality of th...