Search Results (3 CVEs found)

CVE Vendors Products Updated CVSS v3.1
CVE-2026-10801 1 Modelscope 2 Ms-swift, Ms Swift 2026-06-04 3.6 Low
A security vulnerability has been detected in modelscope ms-swift up to 4.2.0. This affects the function Template._save_pil_image of the file swift/template/base.py of the component PIL Image Cache Key Handler. The manipulation leads to use of weak hash. An attack has to be approached locally. A high degree of complexity is needed for the attack. It is indicated that the exploitability is difficult. The exploit has been disclosed publicly and may be used. The pull request to fix this issue awaits acceptance.
CVE-2025-50460 1 Modelscope 1 Ms Swift 2026-04-15 9.8 Critical
A remote code execution (RCE) vulnerability exists in the ms-swift project version 3.3.0 due to unsafe deserialization in tests/run.py using yaml.load() from the PyYAML library (versions = 5.3.1). If an attacker can control the content of the YAML configuration file passed to the --run_config parameter, arbitrary code can be executed during deserialization. This can lead to full system compromise. The vulnerability is triggered when a malicious YAML file is loaded, allowing the execution of arbitrary Python commands such as os.system(). It is recommended to upgrade PyYAML to version 5.4 or higher, and to use yaml.safe_load() to mitigate the issue.
CVE-2025-50472 1 Modelscope 1 Ms Swift 2026-04-15 9.8 Critical
The modelscope/ms-swift library thru 2.6.1 is vulnerable to arbitrary code execution through deserialization of untrusted data within the `load_model_meta()` function of the `ModelFileSystemCache()` class. Attackers can execute arbitrary code and commands by crafting a malicious serialized `.mdl` payload, exploiting the use of `pickle.load()` on data from potentially untrusted sources. This vulnerability allows for remote code execution (RCE) by deceiving victims into loading a seemingly harmless checkpoint during a normal training process, thereby enabling attackers to execute arbitrary code on the targeted machine. Note that the payload file is a hidden file, making it difficult for the victim to detect tampering. More importantly, during the model training process, after the `.mdl` file is loaded and executes arbitrary code, the normal training process remains unaffected'meaning the user remains unaware of the arbitrary code execution.