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Dark Reading
Security records are increasingly being used by vendors to train their models, creating new risks for enterprises.
The Hacker News
An update on Athena, and some unsolicited predictions on what's coming next On Saturday, Dario Amodei published We Must Pace the Frontier. I agree with him. Go read it if you haven't. I've spent the summer looking at what these models find, and the gap he describes between what they can do and what the rest of us are ready for is the one I've been staring at since May. The hardest piece of his
Check Point Research
Key Points Introduction ARTEX is a Chinese open-source, AI-powered penetration testing platform designed to help security teams assess systems they own or are authorized to test. It uses large language models (LLMs) to coordinate multiple AI agents that plan tests, run security tools, and record evidence of potential vulnerabilities. Its web dashboard brings together assets, […] The post appeared first on . Hacking on Autopilot: Inside ARTEX Cybercrime Campaigns Check Point Research
The Hacker News
Zyxel GS1900 network switches that received the vendor's earlier fix for an actively exploited flaw are still open to the exploit attackers used, researchers at Binarly found. The exploit lets anyone who can reach a switch's web management interface run commands on it without logging in. Zyxel has released new firmware for 10 GS1900 models that closes the hole. The earlier fix is the 2.90
Graham Cluley
Bank of America has a message for its customers: please, for the love of God, stop handing your banking passwords to your AI assistant. And if your robot does something daft with your money? That's your problem, not theirs. Meanwhile, a company that promised to rescue ransomware victims without paying the criminals stands accused of... paying the criminals. ProPublica's Renee Dudley was on the case years before the indictment. Plus, Dropzone AI's Edward Wu asks what happens when AI models break out of their test environment and go hacking, and whether AI agents can help overstretched security teams keep up. All this and more in episode 491 of the "Smashing Security" podcast with cybersecurity expert and keynote speaker Graham Cluley, and special guest Renee Dudley.
The Hacker News
Google on Monday warned that threat actors are hijacking enterprise access to Large Language Models (LLMs) to fraudulently leverage expensive computing resources and AI services. The tactic is called LLMjacking, a form of resource hijacking adapted for the LLM era, where an attacker obtains an API key through phishing, source code leaks, misconfigured environments, or exposed client-side code
Dark Reading
Cybercriminals have turned reselling cloud access to LLMs into a lucrative business model, with some victims paying as much as $1 million in resource consumption before access was revoked.
Bleeping Computer
OpenAI confirmed GPT-6.1 Terra is safer overall than some of its older models, but its safety testing also found other problems. [...]
The Hacker News
OpenAI's compaction feature, which shrinks a long conversation to save space, could be turned into a way to copy a model's hidden reasoning out in plain text, security firm Xint has shown. OpenAI's reasoning models work through a problem before answering, and the service normally returns only the raw reasoning as an encrypted item the user cannot read. The method got past
The Register
Claude maker reveals financials and warns investors its AI models could blackmail humans, resist shutdown, or go rogue