GitHub Advisoryadvisory · PyPI
GHSA-hj3w-wrh4-44vp LLama Factory Remote OS Command Injection Vulnerability
HIGH
Official page ↗
- Aliases
- CVE-2024-52803
- Ecosystem
- PyPI
- Packages
- llamafactory
- Severity
- High
- CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
- Weaknesses
- CWE-78, CWE-79
- Reviewed
- 2024-11-21
Affected packages
• PyPI llamafactory: < 0.9.1 → fixed in 0.9.1
Description
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 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)
```
Related
Alias · CVE (1)
- CVE-2024-52803 LLama Factory enables fine-tuning of large language models. vulnerability
References
- https://github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-hj3w-wrh4-44vp web
- https://nvd.nist.gov/vuln/detail/CVE-2024-52803 advisory
- https://github.com/hiyouga/LLaMA-Factory/commit/b3aa80d54a67da45e9e237e349486fb9c162b2ac web
- https://gist.github.com/superboy-zjc/f2d2b93ae511c445ba97e144b70e534d web
- https://github.com/hiyouga/LLaMA-Factory package