RVC-Boss GPT-SoVITS up to 20250228v3 vr.py uvr model_choose deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability categorized as critical has been discovered in RVC-Boss GPT-SoVITS up to 20250228v3. This impacts the function uvr of the file vr.py. Executing a manipulation of the argument model_choose can lead to deserialization.
The identification of this vulnerability is CVE-2025-49837. The attack may be launched remotely. There is no exploit available.
Details
A vulnerability has been found in RVC-Boss GPT-SoVITS up to 20250228v3 and classified as critical. This vulnerability affects the function uvr of the file vr.py. The manipulation of the argument model_choose with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:
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.
The advisory is available at securitylab.github.com. This vulnerability was named CVE-2025-49837 since 06/11/2025. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Technical details are known, but there is no available exploit. The structure of the vulnerability defines a possible price range of USD $0-$5k at the moment (estimation calculated on 07/31/2025).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
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Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔒
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Proof-of-Concept
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
06/11/2025 CVE reserved07/15/2025 Advisory disclosed
07/15/2025 VulDB entry created
07/31/2025 VulDB entry last update
Sources
Advisory: GHSL-2025-049Status: Not defined
CVE: CVE-2025-49837 (🔒)
GCVE (CVE): GCVE-0-2025-49837
GCVE (VulDB): GCVE-100-316534
Entry
Created: 07/15/2025 22:56Updated: 07/31/2025 00:58
Changes: 07/15/2025 22:56 (68), 07/16/2025 11:17 (2), 07/31/2025 00:58 (12)
Complete: 🔍
Cache ID: 216::103
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