Infiniflow: >> Ragflow Security Vulnerabilities
In infiniflow/ragflow versions 0.12.0, the `web_crawl` function in `document_app.py` contains multiple vulnerabilities. The function does not filter URL parameters, allowing attackers to exploit Full Read SSRF by accessing internal network addresses and viewing their content through the generated PDF files. Additionally, the lack of restrictions on the file protocol enables Arbitrary File Read, allowing attackers to read server files. Furthermore, the use of an outdated Chromium headless version with --no-sandbox mode enabled makes the application susceptible to Remote Code Execution (RCE) via known Chromium v8 vulnerabilities. These issues are resolved in version 0.14.0.
CVSS Score
6.5
EPSS Score
0.003
Published
2025-03-20
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.
CVSS Score
9.8
EPSS Score
0.003
Published
2025-02-25
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding. An authenticated user can exploit the Insecure Direct Object Reference (IDOR) vulnerability that may lead to unauthorized cross-tenant access (list tenant user accounts, add user account into other tenant). Unauthorized cross-tenant access: list user from other tenant (e.g., via GET /<tenant_id>/user/list), add user account to other tenant (POST /<tenant_id>/user). This issue has not yet been patched. Users are advised to reach out to the project maintainers to coordinate a fix.
CVSS Score
8.1
EPSS Score
0.001
Published
2025-02-21
RAGFlow 0.13.0 suffers from improper access control in document-hooks.ts, allowing unauthorized access to user documents.
CVSS Score
7.5
EPSS Score
0.003
Published
2024-12-09
The `add_llm` function in `llm_app.py` in infiniflow/ragflow version 0.11.0 contains a remote code execution (RCE) vulnerability. The function uses user-supplied input `req['llm_factory']` and `req['llm_name']` to dynamically instantiate classes from various model dictionaries. This approach allows an attacker to potentially execute arbitrary code due to the lack of comprehensive input validation or sanitization. An attacker could provide a malicious value for 'llm_factory' that, when used as an index to these model dictionaries, results in the execution of arbitrary code.
CVSS Score
8.8
EPSS Score
0.022
Published
2024-10-19
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