First reported checkpoint.com
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First reported · updated · 4 reports arxiv.org
Agent Data Injection Attacks are Realistic Threats to AI Agents
A research paper by Woohyuk Choi and colleagues introduces agent data injection attacks (ADI), a new category of indirect prompt injection in which malicious data is disguised as trusted data (such as security-critical metadata or agent context data like tool call/response formats) rather than as instructions. The authors demonstrate ADI against real-world agents, achieving arbitrary click attacks on web agents (Claude in Chrome, Antigravity, Nanobrowser) and remote code execution plus supply-chain attacks on coding agents (Claude Code, Codex, Gemini CLI), showing it bypasses existing IPI defenses because agents fail to isolate trusted from untrusted data. Details →First reported arxiv.org
MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks
MUZZLE is an automated agentic red-teaming framework, presented in a USENIX Security 2026 paper by researchers from Northeastern University and Mozilla, for evaluating the security of LLM-based web agents against indirect prompt injection attacks embedded in untrusted web content. Muzzle uses agent trajectories to identify high-salience injection surfaces and adaptively generates context-aware malicious instructions, discovering 44 new attacks across 4 web applications, including 3 cross-application prompt injection attacks and an agent-tailored phishing scenario. Details →First reported arxiv.org
Prismata: Confining Cross-Site Prompt Injection in Web Agents
Prismata is a research defense for autonomous web agents that confines cross-site prompt injection by enforcing contextual least privilege, using dynamic trust derivation to produce permission labels for page content and mechanical confinement to redact content and restrict agent capabilities. The authors report it substantially reduces attack success across recent published web-agent attacks, including adaptive variants, while preserving benign task utility and requiring no developer annotations. Details →First reported embracethered.com
Computer-Use and TOCTOU: What You Click Is Not What You Get!
The author reproduces a previously disclosed TOCTOU race-condition vulnerability against ChatGPT Operator, a computer-use AI agent, demonstrating that what the agent clicks is not what the user expects. A video demo of the attack was presented at the Real-world AI security conference. Details →How the wire is made
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