Ragflow
CVE-2025-27135
HIGH
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Persistence The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Impact | CVSS score of 8.9 (HIGH). Attack characteristics: network attack vector, low complexity, no privileges required, no user interaction not required. Public proof-of-concept exploit code is available. EPSS exploitation probability: 0.27%. |
| Exploit ScenarioDerived | A remote attacker could execute arbitrary SQL commands against the database by sending crafted requests to the affected application. No authentication is required to exploit this vulnerability. |
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Alert meAnalysisAIv1 – Mar 28, 2026
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.
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.
Affects your stack
Find out whether the stacks and servers you run are on an affected version.
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
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.
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- Exploit and PoC references, threat intelligence from 22 sources
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Severity by source
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
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
Lifecycle Timeline
2DescriptionGitHub 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.
Executive ViewAI
Organizations using RAGFlow face significant risk from CVE-2025-27135, a SQL injection vulnerability rated CVSS 8.9. Successful exploitation could allow attackers to execute arbitrary code or commands on affected systems, potentially leading to full system compromise. Proof-of-concept code is publicly available, increasing the risk of exploitation. Organizations should apply vendor updates when available and consider compensating controls in the interim.
Apply vendor patch. If immediate patching is not feasible: (1) Deploy WAF rules to block injection patterns; (2) Restrict network access to affected components; (3) Enable enhanced logging for suspicious activity.
Threat Intelligence Overview
NVD
CVE.org
EPSS
GitHub
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.
Affected Products (CPE)GitHub Advisory
A vulnerability in infiniflow/ragflow versions v0.12.0 allows for remote code execution. Rated critical severity (CVSS 9
Path traversal vulnerability in RAGFlow RAG engine version 0.23.1 allows unauthenticated attackers to read arbitrary fil
In infiniflow/ragflow versions 0.12.0, the `web_crawl` function in `document_app.py` contains multiple vulnerabilities.
RAGFlow versions prior to 0.22.0 generate API keys and beta assistant/agent share tokens with a predictable scheme, lett
The `add_llm` function in `llm_app.py` in infiniflow/ragflow version 0.11.0 contains a remote code execution (RCE) vulne
Remote code execution in RAGFlow versions prior to 0.23.0 allows a low-privileged authenticated user (a normal login acc
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. Rated high s
A Server-Side Request Forgery (SSRF) vulnerability exists in infiniflow/ragflow version 0.12.0. Rated high severity (CVS
RAGFlow 0.13.0 suffers from improper access control in document-hooks.ts, allowing unauthorized access to user documents
A vulnerability in infiniflow/ragflow version RAGFlow-0.13.0 allows for partial account takeover via insecure data query
Server-side template injection in RAGFlow 0.24.0 and earlier allows any authenticated user to execute arbitrary operatin
Unauthenticated network attackers can reach the get_dataset entry point in RAGFlow 0.24.0's evaluation_app API and, depe
Exploit-DB