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Adversa AI Trusted AI Blog · May 7, 2026

TrustFall: coding agent security flaw enables one-click RCE in Claude, Cursor, Gemini CLI and GitHub Copilot

analysis Adversarial MLAI Red TeamingModel Evaluation
Why it matters

TrustFall shows how project-defined MCP configuration can turn a generic “trust this folder” decision into unsandboxed command execution in several coding agents, with zero-click variants in unattended CI. The vendor-authored research traces the issue to conflating permission to read or edit a workspace with permission to start repository-supplied executables.

My takeaway: Default-deny project MCP servers and require a separate approval that shows the exact executable, arguments, and resolved path. Reject agent configuration from untrusted pull requests, sandbox headless jobs, remove production secrets, and keep workspace access distinct from code-execution trust.
Keep exploring

More curated notes connected through Adversarial ML and AI Red Teaming.

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OpenAI’s Frontier Governance Framework

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OWASP GenAI Security Project · guide

OWASP Top 10 for Agentic Applications for 2026

OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.