Initial Access Broker | Breaking Cybersecurity News | The Hacker News

A financially motivated threat actor has been outed as an initial access broker (IAB) that sells access to compromised organizations for other adversaries to conduct follow-on attacks such as ransomware. SecureWorks Counter Threat Unit (CTU) has dubbed the e-crime group  Gold Melody , which is also known by the names Prophet Spider (CrowdStrike) and UNC961 (Mandiant). "This financially motivated group has been active since at least 2017, compromising organizations by exploiting vulnerabilities in unpatched internet-facing servers," the cybersecurity company  said . "The victimology suggests opportunistic attacks for financial gain rather than a targeted campaign conducted by a state-sponsored threat group for espionage, destruction, or disruption." Gold Melody has been  previously   linked  to  attacks  exploiting security flaws in JBoss Messaging (CVE-2017-7504), Citrix ADC (CVE-2019-19781), Oracle WebLogic (CVE-2020-14750 and CVE-2020-14882), ...

Google's Threat Analysis Group (TAG) took the wraps off a new  initial access broker  that it said is closely affiliated to a Russian cyber crime gang notorious for its Conti and Diavol ransomware operations. Dubbed Exotic Lily, the financially motivated threat actor has been observed exploiting a now-patched critical flaw in the Microsoft Windows MSHTML platform ( CVE-2021-40444 ) as part of widespread phishing campaigns that involved sending no fewer than 5,000 business proposal-themed emails a day to 650 targeted organizations globally. "Initial access brokers are the opportunistic locksmiths of the security world, and it's a full-time job," TAG researchers Vlad Stolyarov and Benoit Sevens  said . "These groups specialize in breaching a target in order to open the doors — or the Windows — to the malicious actor with the highest bid." Exotic Lily, first spotted in September 2021, is said to have been involved in data exfiltration and deployment of the...

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...