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 generated source code wa

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  by  many  a  threat   actor  to  advance

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo