TrojanForge Automated Repository Poisoning Against Coding Agents
Attack on AI1 Research / proof of conceptData poisoningAgent hijack
Researchers introduced TrojanForge, an automated framework designed to poison code repositories and compromise coding agents. The tool leverages abstract syntax trees and security review agents to deploy malicious payloads realistically.
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Data poisoningprimaryTraining or retrieval data manipulated to change model behaviour.
- Agent hijackAn AI agent is tricked into unauthorized actions: tool misuse, data exfiltration through the agent, or acting against its principal.
- Data poisoningprimary
- owasp llm top 10
- mitre atlas
- Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 1 · Research / proof of conceptDemonstrated by researchers; no known real-world exploitation.
- targets
- Enterprise deployment, Framework / tooling
- products
- TrojanForge
- incident date
- 19 Oct 2026
- first reported
- 19 Oct 2026
- origin
- News & research feeds
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- repository-poisoning · coding-agents · ast · trojanforge
- record
- created 2026-10-19 05:07Z · updated 2026-10-19 05:07Z · json
Sources · 1
- 2026-10-19Trojan Horse: Automated Repository Poisoning against Coding AgentsarXiv · arxiv.org/abs/2610.23109
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
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