RVC-Boss GPT-SoVITS up to 20250228v3 inference_webui.py change_gpt_weights GPT_dropdown deserialization

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.2$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in RVC-Boss GPT-SoVITS up to 20250228v3. Affected by this issue is the function change_gpt_weights of the file inference_webui.py. This manipulation of the argument GPT_dropdown causes deserialization. This vulnerability is tracked as CVE-2025-49840. The attack is possible to be carried out remotely. Moreover, an exploit is present.

Detailsinfo

A vulnerability was found in RVC-Boss GPT-SoVITS up to 20250228v3. It has been declared as critical. Affected by this vulnerability is the function change_gpt_weights of the file inference_webui.py. The manipulation of the argument GPT_dropdown 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. 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 inference_webui.py. The GPT_dropdown variable takes user input and passes it to the change_gpt_weights function. In change_gpt_weights, the user input, here gpt_path is used to load a model with torch.load, leading to unsafe deserialization. At time of publication, no known patched versions are available.

The advisory is shared at securitylab.github.com. This vulnerability is known as CVE-2025-49840 since 06/11/2025. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a exploit are known. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/31/2025).

It is declared as proof-of-concept.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-21558). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.2

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: 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 Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

06/11/2025 CVE reserved
07/15/2025 +34 days Advisory disclosed
07/15/2025 +0 days VulDB entry created
07/31/2025 +15 days VulDB entry last update

Sourcesinfo

Advisory: GHSL-2025-049
Status: Not defined

CVE: CVE-2025-49840 (🔒)
GCVE (CVE): GCVE-0-2025-49840
GCVE (VulDB): GCVE-100-316537
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 07/15/2025 22:58
Updated: 07/31/2025 00:58
Changes: 07/15/2025 22:58 (69), 07/16/2025 11:17 (2), 07/16/2025 19:11 (1), 07/31/2025 00:58 (12)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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