CVE-2025-49837
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-07-15

Last updated on: 2025-07-30

Assigner: GitHub, Inc.

Description
GPT-SoVITS-WebUI is a voice conversion and text-to-speech webUI. In versions 20250228v3 and prior, there is an unsafe deserialization vulnerability in vr.py AudioPre. The model_choose variable takes user input (e.g. a path to a model) and passes it to the uvr function. In uvr, a new instance of AudioPre class is created with the model_path attribute containing the aforementioned user input (here called locally model_name). Note that in this step the .pth extension is added to the path. In the AudioPre class, the user input, here called model_path, is used to load the model on that path with torch.load, which can lead to unsafe deserialization. At time of publication, no known patched versions are available.
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Meta Information
Published
2025-07-15
Last Modified
2025-07-30
Generated
2026-05-07
AI Q&A
2025-07-15
EPSS Evaluated
2026-05-05
NVD
CVE-2025-49837
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
rvc-boss gpt-sovits-webui to 20250228v3 (inc)
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-502 The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
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AI Powered Q&A
Can you explain this vulnerability to me?

This vulnerability is an unsafe deserialization issue in GPT-SoVITS-WebUI versions 20250228v3 and earlier. The application takes user input for a model path, appends a .pth extension, and then loads the model using torch.load without proper validation. This unsafe deserialization can allow an attacker to execute arbitrary code or cause other malicious effects by crafting a malicious model file.


How can this vulnerability impact me? :

The vulnerability can lead to remote code execution or other malicious actions because the application loads user-supplied data without proper validation. An attacker could exploit this to compromise the system running GPT-SoVITS-WebUI, potentially leading to data theft, system control, or disruption of service.


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0/70
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