https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Sat, 10 Oct 2026 05:51:31 +0000 https://cve.radiocsirt.org/vuln/pysec-2026-1682 <p><strong>Affected:</strong> PyPI: ms-swift</p> <p>**I. Detailed Description:**</p> <p>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.</p> <p>1. Install ms-swift ``` pip install ms-swift -U ```</p> <p>2. Start web-ui ``` swift web-ui --lang en ```</p> <p>3. After startup, access through browser at [http://localhost:7860/](http://localhost:7860/) to see the launched fine-tuning framework program</p> <p>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</p> <p>5. Click Begin to start training. Capture packets and modify the parameter corresponding to --output_dir</p> <p>You can see the concatenated command being executed in the terminal where web-ui was started</p> <p>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</p> <p>**II. Vulnerability Proof (Write POC here):** ``` /tmp/xxx&#39;; touch /tmp/inject_success_1; # ```</p> <p>**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 executio…</p> <p><strong>Affected:</strong> PyPI: ms-swift</p> <p>**I. Detailed Description:**</p> <p>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.</p> <p>1. Install ms-swift ``` pip install ms-swift -U ```</p> <p>2. Start web-ui ``` swift web-ui --lang en ```</p> <p>3. After startup, access through browser at [http://localhost:7860/](http://localhost:7860/) to see the launched fine-tuning framework program</p> <p>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</p> <p>5. Click Begin to start training. Capture packets and modify the parameter corresponding to --output_dir</p> <p>You can see the concatenated command being executed in the terminal where web-ui was started</p> <p>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</p> <p>**II. Vulnerability Proof (Write POC here):** ``` /tmp/xxx&#39;; touch /tmp/inject_success_1; # ```</p> <p>**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 executio…</p> https://cve.radiocsirt.org/vuln/pysec-2026-1682