Dormant Poisoning Attacks and Agentic Risks Across Fine-Tuned Models
Researchers demonstrated that dormant malicious behaviors can be implanted into models and later activated by benign fine-tuning, leading to harmful agent actions. The study highlights risks where multiple poisoned behaviors coexist and emerge during downstream training.
- first report
- 20 Oct 2026
- last update
- 20 Oct 2026
Timeline · 1
Sources · 1
Research and catalogues
- 2026-10-20Defending Against Dormant Poisoning Attacks Across Language and Multimodal AgentsarXiv · arxiv.org/abs/2610.24379
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Classification
- lane
- Research
- AI role
- Attack on AI
- categories
- Data poisoningAgent hijack
- severity
- 1 · Research / proof of concept
- targets
- Open-weight model
- owasp llm top 10
- LLM04:2025 Data and Model PoisoningLLM06:2025 Excessive Agency
- mitre atlas
- AML.T0053 AI Agent Tool Invocation
- dates
- happened 20 Oct 2026 · first reported 20 Oct 2026
- origin
- News & research feeds
- record
- confidence 0.90 · created 2026-10-20 04:59Z · updated 2026-11-04 00:07Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
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# Dormant Poisoning Attacks and Agentic Risks Across Fine-Tuned Models https://gcdradar.vercel.app/incidents/dormant-poisoning-attacks-and-agentic-risks-across-fine-tune · AIR-2026-1417 · closed 2026-11-03 - Lane: Research - Severity: 1 (Research / proof of concept) - Fix status: Fix status unknown - First reported: 2026-10-20 - AI role: Attack on AI ## Summary Researchers demonstrated that dormant malicious behaviors can be implanted into models and later activated by benign fine-tuning, leading to harmful agent actions. The study highlights risks where multiple poisoned behaviors coexist and emerge during downstream training. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-10-20: Defending Against Dormant Poisoning Attacks Across Language and Multimodal Agents (https://arxiv.org/abs/2610.24379) ## Sources - 2026-10-20 arXiv: Defending Against Dormant Poisoning Attacks Across Language and Multimodal Agents https://arxiv.org/abs/2610.24379 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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