Babuk | 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...

The threat actors behind the nascent  Buhti  ransomware have eschewed their custom payload in favor of leaked LockBit and Babuk ransomware families to strike Windows and Linux systems. "While the group doesn't develop its own ransomware, it does utilize what appears to be one custom-developed tool, an information stealer designed to search for and archive specified file types," Symantec  said  in a report shared with The Hacker News. The cybersecurity firm is tracking the cybercrime group under the name  Blacktail . Buhti was first highlighted by Palo Alto Networks Unit 42 in February 2023,  describing  it as a Golang ransomware targeting the Linux platform. Later that same month, Bitdefender revealed the use of a Windows variant that was deployed against Zoho ManageEngine products that were vulnerable to critical remote code execution flaws ( CVE-2022-47966 ). The operators have since been observed swiftly exploiting other severe bugs impacting I...

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...