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.
References
Configurations
History
30 Jul 2025, 20:13
Type | Values Removed | Values Added |
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CPE | cpe:2.3:a:rvc-boss:gpt-sovits-webui:*:*:*:*:*:*:*:* | |
CVSS |
v2 : v3 : |
v2 : unknown
v3 : 9.8 |
First Time |
Rvc-boss gpt-sovits-webui
Rvc-boss |
|
References | () https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/bsroformer.py#L289 - Product | |
References | () https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L157 - Product | |
References | () https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L192-L205 - Product | |
References | () https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L52-L59 - Product | |
References | () https://securitylab.github.com/advisories/GHSL-2025-049_GHSL-2025-053_RVC-Boss_GPT-SoVITS/ - Exploit, Third Party Advisory |
16 Jul 2025, 14:58
Type | Values Removed | Values Added |
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Summary |
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15 Jul 2025, 21:15
Type | Values Removed | Values Added |
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New CVE |
Information
Published : 2025-07-15 21:15
Updated : 2025-07-30 20:13
NVD link : CVE-2025-49839
Mitre link : CVE-2025-49839
CVE.ORG link : CVE-2025-49839
JSON object : View
Products Affected
rvc-boss
- gpt-sovits-webui
CWE
CWE-502
Deserialization of Untrusted Data