Cyber Task Force | Breaking Cybersecurity News | The Hacker News

Three young hackers who were sentenced late last year for creating and spreading the notorious Mirai botnet are now helping the FBI to investigate other "complex" cybercrime cases in return to avoid their lengthy prison terms. Paras Jha, 21 from New Jersey, Josiah White, 20 from Washington, and Dalton Norman, 21 from Louisiana, plead guilty in December 2017 to multiple charges for their role in creating and hijacking hundreds of thousands IoT devices to make them part of a notorious botnet network dubbed Mirai . Mirai malware scanned for insecure routers, cameras, DVRs, and other Internet of Things (IoT) devices which were using their default passwords and then made them part of a botnet network . The trio developed the Mirai botnet to attack rival Minecraft video gaming hosts, but after realizing that their invention was powerful enough to launch record-breaking DDoS attacks against targets like OVH hosting website, they released the source code of Mirai . The ...

In both April and June this year, a series of cyber attacks was conducted against the United States Office of Personnel Management (OPM) . These attacks resulted in 21 million current and former Federal government employees' information being stolen. After months of investigation, the FBI's Cyber Task Force identified several Remote Access Tools (RATs) that were used to carry out the attack. One of the more effective tools discovered is named ' FF-RAT '. FF-RAT evades endpoint detection through stealth tactics, including the ability to download DLLs remotely and execute them in memory only. Hackers use RATs to gain unlimited access to infected endpoints. Once the victim's access privilege is acquired, it is then used for malware deployment, command and control (C&C) server communication, and data exfiltration. Most Advanced Persistent Threat (APT) attacks also take advantage of RAT functionality for bypassing strong authentication, reconnaissance, spreading...

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...