๐Ÿ›ก๏ธ CVE-2025-50472
๐Ÿ”ด CVSS 9.8 โ€” Critical โœ… No Known Exploit CWE-502 NVD
9.8
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

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.

Details

Severity CRITICAL
CVSS Score 9.8
CVSS Vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE CWE-502
Public Exploit โœ… No
Source NVD
Published 2025-08-01
Updated 2026-06-02
Modified 2026-04-15
Fix URL N/A

Affected Packages

Software From version Fixed in
unknown โ€” โ€”

Similar Threats

Patch Gap Protection

Running software with known vulnerabilities?

BotEraser can help reduce exposure by blocking IPs associated with exploit activity โ€” even before a patch is available.

Start Free โ†’

No credit card required  ยท  Results in minutes

ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.