Microsoft 365 Copilot Financial Transaction Hijacking via RAG
Attack on AI1 Research / proof of conceptPrompt injectionAgent hijack
Researchers demonstrated that an attacker can manipulate Microsoft 365 Copilot into redirecting wire transfers using indirect prompt injection via ingested emails. The red-team exercise proved how RAG systems can be abused to alter downstream enterprise actions.
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
- 1 · Research / proof of conceptDemonstrated by researchers; no known real-world exploitation.
- targets
- Microsoft, Enterprise deployment
- products
- Microsoft 365 Copilot
- incident date
- 8 Aug 2024
- first reported
- 14 Mar 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
- indirect-prompt-injection · rag · copilot
- record
- created 2026-10-18 06:55Z · updated 2026-10-18 06:55Z · json
Sources · 4
- 2025-03-14Financial Transaction Hijacking with M365 Copilot as an InsiderMITRE ATLAS · atlas.mitre.org/studies/AML.CS0026
- 2025-03-14Article from The Register with response from MicrosoftThe Register · theregister.com/2024/08/08/copilot_black_hat_vulns
- 2025-03-14We got an ~RCE on M365 Copilot by sending an email., Twittertwitter.com · twitter.com/mbrg0/status/1821551825369415875
- 2025-03-14Living off Microsoft Copilot at BHUSA24: Financial transaction hijacking with Copilot as an insider, YouTubeyoutu.be · youtu.be/Z9jvzFxhayA?si=FJmzxTMDui2qO1Zj
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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