When Experience Becomes a Backdoor: Poisoning Self-Evolving LLM Agents via Failure-Aware Task Optimization
LLM Agent
Researchers demonstrated a task-level backdoor attack against self-evolving LLM agents by implanting malicious rules through failure-aware task optimization. The attack compromises persistent skills without requiring direct manipulation of victim components.
why this severityDemonstrated research attack with no real-world exploitation reported.
- first report
- 10 Nov 2026
- last update
- 10 Nov 2026
Timeline · 1
Sources · 1
Research and catalogues
- 2026-11-10When Experience Becomes a Backdoor: Poisoning Self-Evolving LLM Agents via Failure-Aware Task OptimizationarXiv · arxiv.org/abs/2611.10542
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Research
- AI role
- Attack on AI
- categories
- Data poisoningAgent hijack
- severity
- 1 · Research / proof of concept
- targets
- Open-weight model, Framework / tooling
- owasp llm top 10
- LLM04:2025 Data and Model PoisoningLLM06:2025 Excessive Agency
- mitre atlas
- AML.T0053 AI Agent Tool Invocation
- dates
- happened 10 Nov 2026 · first reported 10 Nov 2026
- origin
- News & research feeds
- record
- confidence 0.90 · created 2026-11-11 03:41Z · updated 2026-11-11 03:41Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
Copy a brief
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the brief as text
# When Experience Becomes a Backdoor: Poisoning Self-Evolving LLM Agents via Failure-Aware Task Optimization https://gcdradar.vercel.app/incidents/when-experience-becomes-a-backdoor-poisoning-self-evolving-l · AIR-2026-1887 · live - Lane: Research - Severity: 1 (Research / proof of concept): Demonstrated research attack with no real-world exploitation reported. - Fix status: Fix status unknown - First reported: 2026-11-10 - AI role: Attack on AI - Products: LLM Agent ## Summary Researchers demonstrated a task-level backdoor attack against self-evolving LLM agents by implanting malicious rules through failure-aware task optimization. The attack compromises persistent skills without requiring direct manipulation of victim components. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-11-10: When Experience Becomes a Backdoor: Poisoning Self-Evolving LLM Agents via Failure-Aware Task Optimization (https://arxiv.org/abs/2611.10542) ## Sources - 2026-11-10 arXiv: When Experience Becomes a Backdoor: Poisoning Self-Evolving LLM Agents via Failure-Aware Task Optimization https://arxiv.org/abs/2611.10542 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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