Stealthy Poisoning Attacks via Reused KV Cache of Reasoning
Attack on AI1 Research / proof of conceptData poisoning
Researchers demonstrate a black-box poisoning attack called R2ECAP that plants poisoned reasoning traces by exploiting reused key-value caches in large language models. The attack manipulates model behavior solely through interactions with the chat interface.
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Data poisoningTraining or retrieval data manipulated to change model behaviour.
- Data poisoning
- owasp llm top 10
- mitre atlas
- no technique for these categoriesBoth 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
- Open-weight model
- 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
- kv-cache · data-poisoning · reasoning-traces · black-box-attack
- record
- created 2026-10-19 05:07Z · updated 2026-10-19 05:07Z · json
Sources · 1
- 2026-10-19Stealthy Poisoning Attacks via Reused KV Cache of ReasoningarXiv · arxiv.org/abs/2610.22873
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