PRODAFT | Breaking Cybersecurity News | The Hacker News

Cybersecurity researchers have shed light on the inner workings of the ransomware operation led by Mikhail Pavlovich Matveev, a Russian national who was  indicted by the U.S. government  earlier this year for his alleged role in launching thousands of attacks across the world. Matveev, who resides in Saint Petersburg and is known by the aliases Wazawaka, m1x, Boriselcin, Uhodiransomwar, Orange, and waza, is alleged to have played a crucial part in the development and deployment of LockBit, Babuk, and Hive ransomware variants since at least June 2020. "Wazawaka and his team members prominently exhibit an insatiable greed for ransom payments, demonstrating a significant disregard for ethical values in their cyber operations," Swiss cybersecurity firm PRODAFT  said  in a comprehensive analysis shared with The Hacker News. "Employing tactics that involve intimidation through threats to leak sensitive files, engaging in dishonest practices, and persisting in retaining...

Cybersecurity researchers have offered fresh insight into a previously undocumented software control panel used by a financially motivated threat group known as TA505. "The group frequently changes its malware attack strategies in response to global cybercrime trends," Swiss cybersecurity firm PRODAFT  said  in a report shared with The Hacker News. "It opportunistically adopts new technologies in order to gain leverage over victims before the wider cybersecurity industry catches on." Also tracked under the names Evil Corp, Gold Drake, Dudear, Indrik Spider, and SectorJ04, TA505 is an aggressive  Russian cybercrime syndicate  behind the infamous Dridex banking trojan and which has been linked to a  number of ransomware campaigns  in recent years.  It's also said to be connected to the  Raspberry Robin attacks  that emerged in September 2021, with similarities uncovered between the malware and Dridex. Other notable malware families assoc...

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...