Advisoriesby IbisMS SWIFT WEB-UI RCE Vulnerability
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/](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....
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| ms-swift PyPI | < 3.7.0 | 3.7.0 |
Details and references
**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/](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](https://github.com/TencentAISec) * Contact: *[security@tencent.com](mailto:security@tencent.com)*
- CVSS 4.0
- 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
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-117
- Also known as
- CVE-2025-41419, PYSEC-2026-1682