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 identified as critical has been detected in RVC-Boss GPT-SoVITS up to 20250228v3. Affected is the function uvr of the file vr.py. The manipulation of the argument model_choose leads to deserialization.
This vulnerability is referenced as CVE-2025-49838. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in RVC-Boss GPT-SoVITS up to 20250228v3 and classified as critical. This issue 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. 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. The summary by CVE is:
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.
It is possible to read the advisory at securitylab.github.com. The identification of this vulnerability is CVE-2025-49838 since 06/11/2025. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around 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.
Be aware that VulDB is the high quality source for vulnerability data.
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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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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-2025-49838 (🔒)
GCVE (CVE): GCVE-0-2025-49838
GCVE (VulDB): GCVE-100-316535
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
Be aware that VulDB is the high quality source for vulnerability data.
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