YARA Rules | Breaking Cybersecurity News | The Hacker News

Large language models (LLMs) powering artificial intelligence (AI) tools today could be exploited to develop self-augmenting malware capable of bypassing YARA rules. "Generative AI can be used to evade string-based YARA rules by augmenting the source code of small malware variants, effectively lowering detection rates," Recorded Future  said  in a new report shared with The Hacker News. The findings are part of a red teaming exercise designed to uncover malicious use cases for AI technologies, which are  already being experimented  with by threat actors to create malware code snippets, generate phishing emails, and conduct reconnaissance on potential targets. The cybersecurity firm said it submitted to an LLM a known piece of malware called  STEELHOOK  that's associated with the APT28 hacking group, alongside its YARA rules, asking it to modify the source code to sidestep detection such that the original functionality remained intact and the gene...

Google Cloud last week disclosed that it identified 34 different hacked release versions of the Cobalt Strike tool in the wild, the earliest of which  shipped  in November 2012. The versions, spanning 1.44 to 4.7, add up to a total of 275 unique JAR files, according to findings from the Google Cloud Threat Intelligence (GCTI) team. The  latest version  of Cobalt Strike is version 4.7.2. Cobalt Strike, developed by  Fortra  (née HelpSystems), is a popular adversarial framework used by red teams to simulate attack scenarios and test the resilience of their cyber defenses. It comprises a Team Server that acts as the command-and-control (C2) hub to remotely commandeer infected devices and a stager that's designed to deliver a next-stage payload called the Beacon, a fully-featured implant that reports back to the C2 server. Given its wide-ranging suite of features, unauthorized versions of the software have been  increasingly   weaponized  ...

Most microsegmentation projects fail before they even get off the ground—too complex, too slow, too disruptive. But Andelyn Biosciences proved it doesn't have to be that way.  Microsegmentation: The Missing Piece in Zero Trust Security   Security teams today are under constant pressure to defend against increasingly sophisticated cyber threats. Perimeter-based defenses alone can no longer provide sufficient protection as attackers shift their focus to lateral movement within enterprise networks. With over 70% of successful breaches involving attackers moving laterally, organizations are rethinking how they secure internal traffic.  Microsegmentation has emerged as a key strategy in achieving Zero Trust security by restricting access to critical assets based on identity rather than network location. However, traditional microsegmentation approaches—often involving VLAN reconfigurations, agent deployments, or complex firewall rules—tend to be slow, operationally disrupt...