CVE-2025-49838 (GCVE-0-2025-49838)
Vulnerability from cvelistv5 – Published: 2025-07-15 20:36 – Updated: 2025-07-16 13:41
VLAI
EPSS
VEX
Title
GHSL-2025-050: GPT-SoVITS Deserialization of Untrusted Data vulnerability
Summary
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 AudioPreDeEcho. 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 AudioPreDeEcho 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 AudioPreDeEcho 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.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-07-16 13:40 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://securitylab.github.com/advisories/GHSL-20… | x_refsource_CONFIRM |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
| https://github.com/RVC-Boss/GPT-SoVITS/blob/16588… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| RVC-Boss | GPT-SoVITS |
Affected:
<= 20250228v3
|
guessed |
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Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.