I Think, Therefore I Attack: Evaluating Thought Injection Attacks on Reasoning Agents
GLM-5.3, MiniMax-M2.5, Qwen3.8-Flash-Next
Researchers present thought injection attacks targeting Large Reasoning Models by feeding untrusted text into the explicit chain-of-thought stage. The evaluation demonstrates successful attacks against production-class open-weight reasoning models.
why this severityResearch paper demonstrating a novel thought injection attack on reasoning models.
- first report
- 9 Nov 2026
- last update
- 9 Nov 2026
Timeline · 1
Sources · 1
Research and catalogues
- 2026-11-09I Think, Therefore I Attack: Evaluating Thought Injection Attacks on Reasoning AgentsarXiv · arxiv.org/abs/2611.08811
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
- Agent hijackPrompt injection
- severity
- 1 · Research / proof of concept
- targets
- Open-weight model
- owasp llm top 10
- LLM01:2025 Prompt InjectionLLM06:2025 Excessive Agency
- dates
- happened 9 Nov 2026 · first reported 9 Nov 2026
- origin
- News & research feeds
- record
- confidence 0.95 · created 2026-11-09 10:11Z · updated 2026-11-09 10:11Z
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
This record as a short Markdown brief, for a ticket, a chat or a coding agent.
the brief as text
# I Think, Therefore I Attack: Evaluating Thought Injection Attacks on Reasoning Agents https://gcdradar.vercel.app/incidents/i-think-therefore-i-attack-evaluating-thought-injection-atta · AIR-2026-1826 · live - Lane: Research - Severity: 1 (Research / proof of concept): Research paper demonstrating a novel thought injection attack on reasoning models. - Fix status: Fix status unknown - First reported: 2026-11-09 - AI role: Attack on AI - Products: GLM-5.3, MiniMax-M2.5, Qwen3.8-Flash-Next ## Summary Researchers present thought injection attacks targeting Large Reasoning Models by feeding untrusted text into the explicit chain-of-thought stage. The evaluation demonstrates successful attacks against production-class open-weight reasoning models. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-11-09: I Think, Therefore I Attack: Evaluating Thought Injection Attacks on Reasoning Agents (https://arxiv.org/abs/2611.08811) ## Sources - 2026-11-09 arXiv: I Think, Therefore I Attack: Evaluating Thought Injection Attacks on Reasoning Agents https://arxiv.org/abs/2611.08811 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
Related
- liveCapLite: Evaluating Prompt-Injection Vulnerabilities in Small Language Models
Research · since 13 Nov 2026
AI - liveGemini Adaptive Prompt Injection Attacks Scaled Using Agent Swarms
Research · since 10 Nov 2026
AI - liveBeyond Instruction Override: Benchmarking Indirect Prompt Injection
Research · since 6 Nov 2026
AI - closedOpenClaw Empirical Study of Security Concerns in OpenClaw Agentic Systems
Research · since 27 Oct 2026
AI - closedLLM agents Research Demonstrates Persistent Prompt Injection via LLM Long-Term Memory
Research · since 22 Oct 2026
AI - closedPrompt Injection and Anti-Forensic Attacks on LLM Digital Forensics
Research · since 22 Oct 2026
AI