LLaMA-Factory vulnerabilities

LLaMA-Factory through version 0.9.5 contains a remote code execution vulnerability that allows attackers with WebUI access to execute arbitrary Python code by supplying a malicious model path in the Chat or Training interfaces. The application passes user-supplied model path input unvalidated into AutoTokenizer.from_pretrained() and AutoModel.from_pretrained() with a hardcoded trust_remote_code=True parameter, causing the Hugging Face transformers library to fetch and execute arbitrary code from a remote or local model repository with the privileges of the server process.

LLaMA-Factory contains a server-side request forgery vulnerability in the OpenAI-compatible API multimodal media URL handler that allows unauthenticated attackers to bypass SSRF validation. The check_ssrf_url guard validates URLs once but requests.get follows redirects and re-resolves DNS without re-validation, enabling attackers to use HTTP redirects or DNS rebinding to access internal addresses and cloud metadata endpoints.

LLaMA-Factory before version 0.9.4 contains an SSRF vulnerability in the chat API that allows any authenticated user to force the server to make arbitrary HTTP requests to internal and external networks. The same mechanism also allows for Local File Inclusion (LFI), enabling reading arbitrary files from the server's filesystem. The issue is in the `_process_request` function in `src/llamafactory/api/chat.py`, which does not validate URLs.