Filtered by vendor Infiniflow Subscriptions
Filtered by product Ragflow Subscriptions
Total 5 CVE
CVE Vendors Products Updated CVSS v3.1
CVE-2024-12450 1 Infiniflow 1 Ragflow 2025-04-04 9.8 Critical
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 Furthermore, the use of an outdated Chromium headless version with --no-sandbox mode enabled makes the application susceptible to Remote Code Execution (RCE) via known Chromium v8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.
CVE-2024-12779 1 Infiniflow 1 Ragflow 2025-04-01 7.5 High
A Server-Side Request Forgery (SSRF) vulnerability exists in infiniflow/ragflow version 0.12.0. The vulnerability is present in the `POST /v1/llm/add_llm` and `POST /v1/conversation/tts` endpoints. Attackers can specify an arbitrary URL as the `api_base` when adding an `OPENAITTS` model, and subsequently access the `tts` REST API endpoint to read contents from the specified URL. This can lead to unauthorized access to internal web resources.
CVE-2024-12869 1 Infiniflow 1 Ragflow 2025-04-01 4.3 Medium
In infiniflow/ragflow version v0.12.0, there is an improper authentication vulnerability that allows a user to view another user's invite list. This can lead to a privacy breach where users' personal or private information, such as email addresses or usernames in the invite list, could be exposed without their consent. This data leakage can facilitate further attacks, such as phishing or spam, and result in loss of trust and potential regulatory issues.
CVE-2024-12871 1 Infiniflow 1 Ragflow 2025-04-01 5.4 Medium
An XSS vulnerability in infiniflow/ragflow version 0.12.0 allows an attacker to upload a malicious PDF file to the knowledge base. When the file is viewed within Ragflow, the payload is executed in the context of the user's browser. This can lead to session hijacking, data exfiltration, or unauthorized actions performed on behalf of the victim, compromising sensitive user data and affecting the integrity of the entire application.
CVE-2024-10131 1 Infiniflow 1 Ragflow 2024-11-01 8.8 High
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.