CVE-2025-61784
LLaMA Factory's Chat API has Critical SSRF and LFI Vulnerabilities
Description
LLaMA-Factory is a tuning library for large language models. Prior to version 0.9.4, a Server-Side Request Forgery (SSRF) vulnerability in the chat API allows any authenticated user to force the server to make arbitrary HTTP requests to internal and external networks. This can lead to the exposure of sensitive internal services, reconnaissance of the internal network, or interaction with third-party services. The same mechanism also allows for a Local File Inclusion (LFI) vulnerability, enabling users to read arbitrary files from the server's filesystem. The vulnerability exists in the `_process_request` function within `src/llamafactory/api/chat.py.` This function is responsible for processing incoming multimodal content, including images, videos, and audio provided via URLs. The function checks if the provided URL is a base64 data URI or a local file path (`os.path.isfile`). If neither is true, it falls back to treating the URL as a web URI and makes a direct HTTP GET request using `requests.get(url, stream=True).raw` without any validation or sanitization of the URL. Version 0.9.4 fixes the underlying issue.
INFO
Published Date :
Oct. 7, 2025, 7:15 p.m.
Last Modified :
Oct. 22, 2025, 6 p.m.
Remotely Exploit :
Yes !
Source :
[email protected]
CVSS Scores
| Score | Version | Severity | Vector | Exploitability Score | Impact Score | Source |
|---|---|---|---|---|---|---|
| CVSS 3.1 | HIGH | [email protected] | ||||
| CVSS 3.1 | HIGH | [email protected] |
Solution
- Update LLaMA-Factory to version 0.9.4 or later.
- Apply security patches provided by the vendor.
- Review `_process_request` function for URL validation.
- Restrict access to internal network services.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-61784.
| URL | Resource |
|---|---|
| https://github.com/hiyouga/LLaMA-Factory/commit/95b7188090a1018935c9dc072bfc97f24f1c96e9 | Patch |
| https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-527m-2xhr-j27g | Exploit Third Party Advisory |
| https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-527m-2xhr-j27g | Exploit Third Party Advisory |
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-61784 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-61784
weaknesses.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-61784 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-61784 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
Initial Analysis by [email protected]
Oct. 22, 2025
Action Type Old Value New Value Added CVSS V3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N Added CWE CWE-918 Added CPE Configuration OR *cpe:2.3:a:hiyouga:llama-factory:*:*:*:*:*:*:*:* versions up to (excluding) 0.9.4 Added Reference Type GitHub, Inc.: https://github.com/hiyouga/LLaMA-Factory/commit/95b7188090a1018935c9dc072bfc97f24f1c96e9 Types: Patch Added Reference Type CISA-ADP: https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-527m-2xhr-j27g Types: Exploit, Third Party Advisory Added Reference Type GitHub, Inc.: https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-527m-2xhr-j27g Types: Exploit, Third Party Advisory -
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Oct. 07, 2025
Action Type Old Value New Value Added Reference https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-527m-2xhr-j27g -
New CVE Received by [email protected]
Oct. 07, 2025
Action Type Old Value New Value Added Description LLaMA-Factory is a tuning library for large language models. Prior to version 0.9.4, a Server-Side Request Forgery (SSRF) vulnerability in the chat API allows any authenticated user to force the server to make arbitrary HTTP requests to internal and external networks. This can lead to the exposure of sensitive internal services, reconnaissance of the internal network, or interaction with third-party services. The same mechanism also allows for a Local File Inclusion (LFI) vulnerability, enabling users to read arbitrary files from the server's filesystem. The vulnerability exists in the `_process_request` function within `src/llamafactory/api/chat.py.` This function is responsible for processing incoming multimodal content, including images, videos, and audio provided via URLs. The function checks if the provided URL is a base64 data URI or a local file path (`os.path.isfile`). If neither is true, it falls back to treating the URL as a web URI and makes a direct HTTP GET request using `requests.get(url, stream=True).raw` without any validation or sanitization of the URL. Version 0.9.4 fixes the underlying issue. Added CVSS V3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L Added CWE CWE-22 Added CWE CWE-918 Added Reference https://github.com/hiyouga/LLaMA-Factory/commit/95b7188090a1018935c9dc072bfc97f24f1c96e9 Added Reference https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-527m-2xhr-j27g