AI Assistants Exploited via Crafted Links for Recommendation Poisoning
Attack on AI3 Confirmed exploitationPrompt injectionAgent hijack
Operators embedded malicious links into websites to hijack initial user turns with AI assistants. The attack manipulated assistant memory and recommendation outputs for promotional purposes.
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Prompt injectionprimaryUntrusted content (web pages, documents, emails, tool output) steers a model into ignoring its instructions.
- Agent hijackAn AI agent is tricked into unauthorized actions: tool misuse, data exfiltration through the agent, or acting against its principal.
- Prompt injectionprimary
- owasp llm top 10
- mitre atlas
- Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 3 · Confirmed exploitationUsed against real targets; limited or unclear impact.
- targets
- Enterprise deployment, Individuals
- products
- AI Assistants
- incident date
- 10 Feb 2026
- first reported
- 15 Sep 2026
- origin
- MITRE ATLASDerived from MITRE ATLAS (Apache 2.0, © MITRE).
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- url-parameter-injection · recommendation-poisoning · memory-manipulation
- record
- created 2026-10-18 06:33Z · updated 2026-10-18 06:33Z · json
Sources · 2
- 2026-09-15AI Recommendation Poisoning via Crafted AI Assistant LinksMITRE ATLAS · atlas.mitre.org/studies/AML.CS0072
- 2026-09-15Manipulating AI memory for profit: The rise of AI Recommendation PoisoningMicrosoft Security · microsoft.com/en-us/security/blog/2026/02/10/ai-recommendation-poisoning
Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.
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