GitHub Advisoryadvisory · PyPI

GHSA-7c78-rm87-5673 MS SWIFT WEB-UI RCE Vulnerability

MEDIUM Published 2025-07-31 Modified 2025-10-23 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

References