GitHub Advisoryadvisory · PyPI
GHSA-7c78-rm87-5673 MS SWIFT WEB-UI RCE Vulnerability
MEDIUM
Official page ↗
- Aliases
- CVE-2025-41419
- Ecosystem
- PyPI
- Packages
- ms-swift
- Severity
- Moderate
- CVSS vector
- CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:A/VC:H/VI:L/VA:N/SC:N/SI:N/SA:N/E:P
- Weaknesses
- CWE-117
- Reviewed
- 2025-07-31
Affected packages
• PyPI ms-swift: < 3.7.0 → fixed in 3.7.0
Description
I. Detailed Description:
This includes scenarios, screenshots, vulnerability reproduction methods. For account-related vulnerabilities, please provide test accounts. If the reproduction process is complex, you may record a video, upload it to Taopan, and attach the link.
1. Install ms-swift
```
pip install ms-swift -U
```
2. Start web-ui
```
swift web-ui --lang en
```
3. After startup, access through browser at http://localhost:7860/ to see the launched fine-tuning framework program
4. Fill in necessary parameters
In the LLM Training interface, fill in required parameters including Model id, Dataset Code. The --output_dir can be filled arbitrarily as it will be modified later through packet capture
5. Click Begin to start training. Capture packets and modify the parameter corresponding to --output_dir
You can see the concatenated command being executed in the terminal where web-ui was started
6. Wait for the program to run (testing shows it requires at least 5 minutes), and you can observe the effect of command execution creating files
II. Vulnerability Proof (Write POC here):
```
/tmp/xxx'; touch /tmp/inject_success_1; #
```
III. Fix Solution:
1. The swift.ui.llm_train.llm_train.LLMTrain#train() method should not directly concatenate parameters with commands after receiving commands from the frontend
2. The swift.ui.llm_train.llm_train.LLMTrain#train_local() method should not use os.system for execution, but should be changed to subprocess.run([cmd, arg1, arg2...]) format
Author
• Discovered by: TencentAISec
• Contact: *[email protected]*
Related
Alias · not in database (1)
Weakness · CWE (1)
- CWE-117 Improper Output Neutralization for Logs weakness