RAGLeak: Supply-Chain Privacy Backdoors in Retrieval-Augmented Generation
RAGLeak
Researchers introduced RAGLeak, a supply-chain privacy backdoor attack that extracts sensitive data from retrieval-augmented generation systems. The technique balances extraction fidelity and stealthiness better than previous prompt injection or backdoor methods.
- first report
- 20 Oct 2026
- last update
- 20 Oct 2026
Timeline · 1
Sources · 1
Research and catalogues
- 2026-10-20RAGLeak: Supply-Chain Privacy Backdoors in Retrieval-Augmented GenerationarXiv · arxiv.org/abs/2610.25937
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
- Data leakSupply chain
- severity
- 1 · Research / proof of concept
- targets
- Open-weight model, Enterprise deployment
- mitre atlas
- AML.T0010 AI Supply Chain Compromise
- dates
- happened 20 Oct 2026 · first reported 20 Oct 2026
- origin
- News & research feeds
- record
- confidence 0.95 · created 2026-10-20 04:59Z · updated 2026-11-04 00:07Z
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
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the brief as text
# RAGLeak: Supply-Chain Privacy Backdoors in Retrieval-Augmented Generation https://gcdradar.vercel.app/incidents/ragleak-supply-chain-privacy-backdoors-in-retrieval-augmente · AIR-2026-1421 · closed 2026-11-03 - Lane: Research - Severity: 1 (Research / proof of concept) - Fix status: Fix status unknown - First reported: 2026-10-20 - AI role: Attack on AI - Products: RAGLeak ## Summary Researchers introduced RAGLeak, a supply-chain privacy backdoor attack that extracts sensitive data from retrieval-augmented generation systems. The technique balances extraction fidelity and stealthiness better than previous prompt injection or backdoor methods. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-10-20: RAGLeak: Supply-Chain Privacy Backdoors in Retrieval-Augmented Generation (https://arxiv.org/abs/2610.25937) ## Sources - 2026-10-20 arXiv: RAGLeak: Supply-Chain Privacy Backdoors in Retrieval-Augmented Generation https://arxiv.org/abs/2610.25937 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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