Data Exfiltration via Prompt Injections in Copilot Studio Agent
Attack on AI1 Research / proof of conceptPrompt injectionAgent hijackData leak
Researchers demonstrated how an organization's data could be exfiltrated through prompt injections targeting an AI customer service agent. The attack exploited tool access in a Copilot Studio implementation.
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.
- Data leakTraining data, chat logs, system prompts, model weights or other AI-system data exposed.
- 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
- 1 · Research / proof of conceptDemonstrated by researchers; no known real-world exploitation.
- targets
- Microsoft, Enterprise deployment
- products
- Copilot Studio
- incident date
- Jun 2025 (approx.)
- first reported
- 7 Nov 2025
- origin
- MITRE ATLASDerived from MITRE ATLAS (Apache 2.0, © MITRE).
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- prompt-injection · copilot-studio · data-exfiltration · agent-hijack
- record
- created 2026-10-18 06:55Z · updated 2026-10-18 06:55Z · json
Sources · 3
- 2025-11-07Data Exfiltration via Agent Tools in Copilot StudioMITRE ATLAS · atlas.mitre.org/studies/AML.CS0037
- 2025-11-07AgentFlayer: Discovery Phase of AI Agents in Copilot StudioZenity Labs · labs.zenity.io/p/a-copilot-studio-story-discovery-phase-in-ai-agents-f917
- 2025-11-07AgentFlayer: When AIjacking Leads to Full Data Exfiltration in Copilot StudioZenity Labs · labs.zenity.io/p/a-copilot-studio-story-2-when-aijacking-leads-to-full-data-exfi
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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