RVC-Boss GPT-SoVITS up to 20250228v3 bsroformer.py uvr model_choose deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in RVC-Boss GPT-SoVITS up to 20250228v3. It has been declared as critical. The impacted element is the function uvr of the file bsroformer.py. Such manipulation of the argument model_choose leads to deserialization.
This vulnerability is uniquely identified as CVE-2025-49839. The attack can be launched remotely. No exploit exists.
Details
A vulnerability, which was classified as critical, has been found in RVC-Boss GPT-SoVITS up to 20250228v3. Affected by this issue is the function uvr of the file bsroformer.py. The manipulation of the argument model_choose with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is 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 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.
The advisory is shared for download at securitylab.github.com. This vulnerability is handled as CVE-2025-49839 since 06/11/2025. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (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-2025-49839 (🔒)
GCVE (CVE): GCVE-0-2025-49839
GCVE (VulDB): GCVE-100-316532
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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