gcdRadar
archive/Research/AIR-2026-1421
closedclosed 3 Nov 2026Research1 Research / proof of conceptAI

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

  1. 20 Oct 2026RAGLeak: Supply-Chain Privacy Backdoors in Retrieval-Augmented Generation

Sources · 1

Research and catalogues

  1. 2026-10-20

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

AI role
Attack on AI
categories
Data leakSupply chain
severity
1 · Research / proof of concept
targets
Open-weight model, Enterprise deployment
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

This record as a short Markdown brief, for a ticket, a chat or a coding agent.

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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