CVE-2024-52803 – llamafactory

Package

Manager: pip
Name: llamafactory
Vulnerable Version: >=0 <0.9.1

Severity

Level: High

CVSS v3.1: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

CVSS v4.0: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

EPSS: 0.0407 pctl0.88096

Details

LLama Factory Remote OS Command Injection Vulnerability ## Summary A critical remote OS command injection vulnerability has been identified in the Llama Factory training process. This vulnerability arises from improper handling of user input, allowing malicious actors to execute arbitrary OS commands on the host system. The issue is caused by insecure usage of the `Popen` function with `shell=True`, coupled with unsanitized user input. Immediate remediation is required to mitigate the risk. ## Affected Version Llama Factory versions **<=0.9.0** are affected by this vulnerability. ## Impact Exploitation of this vulnerability allows attackers to: 1. Execute arbitrary OS commands on the server. 2. Potentially compromise sensitive data or escalate privileges. 3. Deploy malware or create persistent backdoors in the system. This significantly increases the risk of data breaches and operational disruption. ## Root Cause The vulnerability originates from the training process where the `output_dir` value, obtained from the user input, is injected into the popen function without any sanitization. Furthermore, popen is invoked in a unsafe way by enabling the interact shell (`shell=True`), leading to remote OS command injection vulnerability. Vulnerable snippet: ```python # https://github.com/hiyouga/LLaMA-Factory/blob/bd639a137e6f46e1a0005cc91572f5f1ec894f74/src/llamafactory/webui/runner.py#L304-L323 def _launch(self, data: Dict["Component", Any], do_train: bool) -> Generator[Dict["Component", Any], None, None]: ... args = self._parse_train_args(data) if do_train else self._parse_eval_args(data) ... self.trainer = Popen(f"llamafactory-cli train {save_cmd(args)}", env=env, shell=True) yield from self.monitor() ``` ## Proof of Concept (PoC) ### Steps to Reproduce - Deploy llama factory - Execute the exploitation script from: https://gist.github.com/superboy-zjc/f2d2b93ae511c445ba97e144b70e534d ```bash python3 llama-factory-rce.py --url http://127.0.0.1:7861 --cmd "curl XXX" --trace ```  Bad actors are able to execute any OS command as they want. ## Remediation Recommendations **Avoid using `shell=True` in `Popen`.** - Instead, pass the command and its arguments as a list. This prevents user inputs from being executed as part of a shell command. ```python cmd = [ "llamafactory-cli", "train", *save_cmd(args).split(), ] self.trainer = Popen(cmd, env=env) ```

Metadata

Created: 2024-11-21T22:20:45Z
Modified: 2025-08-27T18:40:58Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2024/11/GHSA-hj3w-wrh4-44vp/GHSA-hj3w-wrh4-44vp.json
CWE IDs: ["CWE-78", "CWE-79"]
Alternative ID: GHSA-hj3w-wrh4-44vp
Finding: F404
Auto approve: 1