Attackers use open-source AI pentesting agent AntiFox to steal AWS credentials
Researchers found attackers hosting self-managed instances of AntiFox, an open-source agentic penetration testing platform, on Alibaba Cloud to target web services and steal AWS credentials. The attackers then moved laterally into compromised environments.
Offensive AI agents built for defenders are being turned against cloud accounts, raising the speed and scale of credential attacks.
aii.news picks and summarizes stories from trusted news sources with the help of AI. Every story links to the original reporting. How we work.
Keep reading
-
Railway breach let hackers run up about $740,000 in AI charges with stolen customer keys
Platform provider Railway said AI provider keys stored by customers were stolen in an October breach and used for an estimated $740,000 in unauthorized usage, potentially affecting up to 100,000 workspaces. The company promised to cover charges that AI providers will not refund.
Why it mattersStored AI API keys are now a direct target for theft and resale of compute, so set spending limits and rotate keys kept on third-party platforms.
-
Fireworks AI breach widens to customer datasets, model weights and Notion AI chats
Fireworks AI said its investigation into an earlier incident found further malicious activity affecting account and billing information, secrets, datasets and incomplete models for a limited set of accounts. Notion said the breach exposed Notion AI chat transcripts in a small number of workspaces.
Why it mattersYour AI data is only as safe as the infrastructure providers behind your tools, so companies should review which vendors process their prompts and data.
-
Microsoft shows editing fewer than 10 neurons can plant a hidden backdoor in AI agents
Microsoft researchers described a technique called Lazarus that changes a few dormant neurons in an open-weight model so that a trigger makes it output attacker commands, with no retraining needed. The modified model behaves normally in standard safety tests, and Microsoft says it has not seen attackers use the method.
Why it mattersTeams running agents on open-weight models need to verify where their model files come from and limit what agents can execute.
-
Claude Code settings files leaked over 31,000 secrets on public GitHub repos
GitGuardian found 31,088 distinct secrets, including database credentials and cloud tokens, in Claude Code local settings files across 23,276 public GitHub repositories. Of those, 5,343 were still valid when detected.
Why it mattersIf you use Claude Code, check that your local settings file is excluded from Git and rotate any credentials that may have been committed.
-
New York's AI safety law takes effect, adding oversight for OpenAI and Anthropic
New York is preparing to enforce its AI safety law, which requires major AI developers to register, disclose safety practices and report critical incidents. Companies that fail to comply face fines.
Why it mattersLarge AI developers now face binding state-level safety reporting rules that could become a model for other jurisdictions.
