track phone number | Breaking Cybersecurity News | The Hacker News

Twitter today issued a warning revealing that attackers abused a legitimate functionality on its platform to unauthorizedly determine phone numbers associated with millions of its users' accounts. According to Twitter, the vulnerability resided in one of the APIs that has been designed to make it easier for users to find people they may already know on Twitter by matching phone numbers saved in their contacts with twitter accounts. To be noted, the feature worked precisely as intended, except someone was not supposed to upload millions of randomly generated phone numbers and abuse Twitter to reveal profiles associated with the contact information users added to Twitter for enabling security features. Though the company is not sure if the bug was exploited by only a single adversary or multiple groups, it has identified several accounts engaged in the attack located in a wide range of countries, primarily from Iran, Israel, and Malaysia. Based on their IP addresses, Twitt...

Until now, I'm sure you all might have heard of the SimJacker vulnerability disclosed exactly a month ago that affects a wide range of SIM cards and can remotely be exploited to hack into any mobile phone just by sending a specially crafted binary SMS. If you are unaware, the name "SimJacker" has been given to a class of vulnerabilities that resides due to a lack of authentication and proprietary security mechanisms implemented by dynamic SIM toolkits that come embedded in modern SIM cards. Out of many, two such widely used SIM toolkits — S@T Browser technology and Wireless Internet Browser (WIB) — have yet been found vulnerable to SimJacker attacks, details of which we have provided in our previous articles published last month. At that time, a few experts in the telecom industry confirmed The Hacker News that the SimJacker related weaknesses were internally known to many for years, and even researchers also revealed that an unnamed surveillance company has been ...

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...