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Ragflow CVE-2025-27135

HIGH
SQL Injection (CWE-89)
2025-02-25 security-advisories@github.com
8.9
CVSS 4.0 · GitHub Advisory
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Severity by source

GitHub Advisory PRIMARY
8.9 HIGH
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
X

Lifecycle Timeline

3
Analysis Generated
Mar 28, 2026 - 18:28 vuln.today
PoC Detected
Apr 22, 2025 - 12:57 vuln.today
Public exploit code
CVE Published
Feb 25, 2025 - 19:15 nvd
HIGH 8.9

DescriptionGitHub Advisory

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. Versions 0.15.1 and prior are vulnerable to SQL injection. The ExeSQL component extracts the SQL statement from the input and sends it directly to the database query. As of time of publication, no patched version is available.

AnalysisAI

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. Rated high severity (CVSS 8.9), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as SQL Injection (CWE-89), which allows attackers to execute arbitrary SQL commands against the database. RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. Versions 0.15.1 and prior are vulnerable to SQL injection. The ExeSQL component extracts the SQL statement from the input and sends it directly to the database query. As of time of publication, no patched version is available. Affected products include: Infiniflow Ragflow.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Use parameterized queries/prepared statements. Never concatenate user input into SQL. Apply least-privilege database permissions.

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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. Rated high s

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Server-side template injection in RAGFlow 0.24.0 and earlier allows any authenticated user to execute arbitrary operatin

CVE-2024-12871 MEDIUM POC
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An XSS vulnerability in infiniflow/ragflow version 0.12.0 allows an attacker to upload a malicious PDF file to the knowl

CVE-2026-58579 MEDIUM POC
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Stored XSS in RAGFlow before 0.26.3 enables cross-user JavaScript execution through unsanitized agent pipeline node name

CVE-2026-28797 HIGH
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Server-Side Template Injection in RAGFlow 0.24.0 and earlier allows authenticated users to execute arbitrary OS commands

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CVE-2025-27135 vulnerability details – vuln.today

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