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137 of 1,263 storiesTopic: AI SecurityClear all

Wed, 2 Sept 2026

  1. Malicious .git Configs Can Make Claude, Codex, Cursor, and Other AI Agents Run Attacker Code

    Manifold Security has disclosed eight security flaws across seven command-line AI coding agents in which a repository's own Git configuration names a command that the agent runs on the developer's machine, four of them still unpatched at publication. The command executes as the user, outside the agent's sandbox and without an approval prompt, and exploitation requires the repository to arrive

    The Hacker News
  2. I’ve been deepfaked: What do I do?

    Don’t panic if you spot an illegally created image or video of you online – there are ways to request its removal

    WeLiveSecurity

Tue, 1 Sept 2026

Mon, 31 Aug 2026

  1. Anthropic Users Hit by Infostealer Attacks, Session Thefts

    A threat actor used a variety of infostealers to collect session information and access Claude accounts belonging to an unknown number of users.

    Dark Reading
  2. The Coding-Agent Trap: When a "Free" LLM Endpoint Is the Adversary, (Mon, Aug 31st)

    One of my internet-exposed inference honeypots was discovered, relabeled with sought-after model names, and incorporated into infrastructure apparently used to provide "free" LLM backends. It then received a real coding-agent session — history, filesystem output, working paths, and the agent's local tool manifest. The honeypot did not request or cause any tool execution; what the request exposed is what a malicious operator in that position could do.

    SANS Internet Storm Center
  3. AI Model Rules Are Not Security Controls

    OpenAI's Hugging Face attack postmortem shows agents don't care about rules — they need strong controls.

    Dark Reading
  4. Anthropic cracks down on hijacked user accounts mining AI tokens

    Commodity malware steals authenticated sessions, letting thieves freeload on victims' paid usage

    The Register

Sat, 29 Aug 2026

Fri, 28 Aug 2026

  1. Perturbation Probing: A New Diagnostic for the Fragility of LLM Safety

    New research reveals that AI safety refusal lives in a thin neural layer, highlighting the critical need for external, multi-layered security.

    Unit 42

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