High · CVSS 7.1CVE-2026-119337

RAGFlow: OpenAI-compatible agent completion bypasses private canvas authorizationCVE-2026-119337

Answer in brief

CVE-2026-119337 records a High severity (CVSS 7.1) vulnerability in RAGFlow: OpenAI-compatible agent completion bypasses private canvas authorization. The current sources do not mark it as known exploited. The current feed maps infiniflow/ragflow (generic). Check affected ranges and fixed versions before updating.

Analysis pending evidence review

HOL Guard separates source facts from reviewed analysis. See the methodology.

Published Oct 30, 2026Updated Oct 30, 2026Source checked Oct 30, 2026First seen by HOL Oct 30, 2026Material review Oct 30, 2026

Upstream Advisory

Key facts

Risk: High · CVSS 7.1
Exploitation: Not marked as known exploited
Affected software: 1 mapped package or product
Fix availability: Available

Why this deserves its current priority

CVSS is 7.1. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.

Analysis status

Analysis pending evidence review

Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.

Affected scope and exposure questions

The current feed maps infiniflow/ragflow (generic). Check affected ranges and fixed versions before updating.

Mapped affected packages and fixed versions
Package	Affected range	Fixed version
infiniflow/ragflowgeneric	>=0.25.2 <0.27.3	0.27.3

Recommended response

Check inventory. Check lockfiles and deployed manifests for infiniflow/ragflow.
Review the reported fix. Update infiniflow/ragflow to 0.27.3 if you use the affected versions. Test the change in a non-production environment first.

Evidence timeline and material changes

Published upstream
Oct 30, 2026
Evidence: source:cvelist:source_dates:source-dates:record
Source modified
Oct 30, 2026
Evidence: source:cvelist:source_dates:source-dates:record
First seen by HOL
Oct 30, 2026

Sources and claim methodology

Upstream source description

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. From 0.25.2 until 0.27.3, POST /api/v1/agents/chat/completions invokes completion_openai and returns through the openai-compatible branch before UserCanvasService.accessible() checks whether the caller may access the requested agent. An authenticated user who knows another user's private agent UUID can execute that Only me workflow and read its output across the user or tenant boundary; configured tools may also cause side effects, but stronger impacts were not demonstrated. This issue is fixed in version 0.27.3.

Quoted source text, attributed separately from HOL analysis.