CVE-2025-49839
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 bsroformer.py. 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 Roformer_Loader class is created with the model_path attribute containing the aformentioned user input (here called locally model_name). Note that in this step the .ckpt extension is added to the path. In the Roformer_Loader 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.
CVSS Scores
EPSS Scores
Probability:
Percentile:
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-2025-49839
Affected Vendors & Products
Showing 1 associated CPE
Vendor Product Version / Range
rvc-boss gpt-sovits-webui to 20250228v3 (inc)
Helpful Resources
Exploitability
CWE
CWE Icon
KEV
KEV Icon
CWE ID Description
CWE-502 The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
Attack-Flow Graph
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. It occurs because user input specifying a model path is passed to a function that loads a model file using torch.load without proper validation. This allows potentially malicious input to be deserialized unsafely, which can lead to execution of arbitrary code or other security risks.


How can this vulnerability impact me? :

The unsafe deserialization vulnerability can allow an attacker to execute arbitrary code on the system running GPT-SoVITS-WebUI by supplying crafted input that is deserialized unsafely. This can lead to system compromise, data theft, or disruption of service.


What immediate steps should I take to mitigate this vulnerability?

Since no patched versions are available at the time of publication, immediate mitigation steps include avoiding use of untrusted input for the model_choose variable or the uvr function, restricting access to the GPT-SoVITS-WebUI service to trusted users only, and monitoring for any suspicious activity related to model loading. Consider isolating the environment where the application runs to limit potential impact of unsafe deserialization.


Ask Our AI Assistant
Need more information? Ask your question to get an AI reply (Powered by our expertise)
0/70
EPSS Chart