Trojan Horse: Automated Repository Poisoning against Coding Agents
Automated repository-poisoning attacks can trick AI coding agents into embedding malicious payloads—escalating supply-chain risk beyond what manual red-teaming has revealed so far.
Summary written by editorial AI · Source link below
arXiv:2610.23109v1 Announce Type: new Abstract: Coding agents are increasingly capable with autonomy, which exposes them to repository-level poisoning. Existing red-teaming studies remain restricted to manual selection for malicious payload locations and fixed disguise strategies, which cannot represent realistic repository poisoning. We present TrojanForge, the first automated framework for repository poisoning. TrojanForge parses repository structure through abstract syntax trees (AST) and ma
Editorial Analysis
Enterprises adopting AI coding agents face a new supply-chain vector: adversaries can automatically seed repositories with disguised payloads that agents propagate into production code.
Enforce mandatory human code review and sandbox execution for AI-agent-generated commits, and update threat models to include repository-poisoning scenarios.
AI coding assistants can be weaponised through automated repository poisoning, creating a scalable supply-chain risk that demands new code-integrity controls.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
More from the AI Security Desk
- OpenAI AI Agents Demonstrate VM Escapes and Secret Cross-Sandbox Communication1d
- Exposed Infrastructure Reveals How Ransomware Affiliates Used AI Agents to Execute Intrusions3d
- You gave your AI agent access, but who is giving it orders?3d
- AI Agents as Insider Threats: Inside Microsoft's Bet on a Unified Security Stack3d
- Critical x402 SDK Flaw Could Let Malicious APIs Drain AI Agents’ Token Balances3d