Steering for Safety, Hijacking for Profit: Trojan Threats in LLM Steering
Steering Vectors
Researchers demonstrated supply-chain risks in large language model activation steering vectors, showing how malicious plugins can covertly manipulate model outputs. The attack introduces trojans into customization components to compromise model behavior without degrading perceived performance.
why this severityDemonstrated research attack with no known real-world exploitation.
- first report
- 27 Oct 2026
- last update
- 27 Oct 2026
Timeline · 1
Sources · 1
Research and catalogues
- 2026-10-27Steering for Safety, Hijacking for Profit: Trojan Threats in the LLM Activation Steering Supply ChainarXiv · arxiv.org/abs/2610.35043
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
- Supply chainAgent hijack
- severity
- 1 · Research / proof of concept
- targets
- Open-weight model, Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply ChainLLM06:2025 Excessive Agency
- dates
- happened 27 Oct 2026 · first reported 27 Oct 2026
- origin
- News & research feeds
- record
- confidence 0.90 · created 2026-10-27 15:31Z · updated 2026-11-11 00:12Z
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
# Steering for Safety, Hijacking for Profit: Trojan Threats in LLM Steering https://gcdradar.vercel.app/incidents/steering-for-safety-hijacking-for-profit-trojan-threats-in-l · AIR-2026-1566 · closed 2026-11-10 - Lane: Research - Severity: 1 (Research / proof of concept): Demonstrated research attack with no known real-world exploitation. - Fix status: Fix status unknown - First reported: 2026-10-27 - AI role: Attack on AI - Products: Steering Vectors ## Summary Researchers demonstrated supply-chain risks in large language model activation steering vectors, showing how malicious plugins can covertly manipulate model outputs. The attack introduces trojans into customization components to compromise model behavior without degrading perceived performance. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-10-27: Steering for Safety, Hijacking for Profit: Trojan Threats in the LLM Activation Steering Supply Chain (https://arxiv.org/abs/2610.35043) ## Sources - 2026-10-27 arXiv: Steering for Safety, Hijacking for Profit: Trojan Threats in the LLM Activation Steering Supply Chain https://arxiv.org/abs/2610.35043 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
Related
- closedSEAL: Persistent Tool Poisoning Attack against LLM Agents
Research · since 20 Oct 2026
AI - closedGGUF Poisoned GGUF Templates Enable Inference-Time Supply Chain Attacks
Research · since Jun 2025 (approx.)
AI - liveAI agents Microsoft Researchers Show AI Agents Can Be Backdoored via Neuron Edits
Research · since 11 Nov 2026 · updated 13 Nov 2026
AI - liveOpenAI Codex OpenAI Codex Jailbreak Toolkit Hides Prompt Adware to Hijack AI Agents
Research · since 4 Nov 2026
AI - liveLLM Agent Frameworks Beyond Prompt Injection: The Tool Update Gap in LLM Agent Security
Research · since 3 Nov 2026
AI - liveKerkoporta: Injecting Structured-Output Backdoors in Reasoning Coding Agents
Research · since 3 Nov 2026
AI