9.8
CRITICAL CVSS 3.1
CVE-2025-49839
GPT-SoVITS-WebUI Unvalidated Model Deserialization Vulnerability
Description

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.

INFO

Published Date :

July 15, 2025, 9:15 p.m.

Last Modified :

July 30, 2025, 8:13 p.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2025-49839 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Rvc-boss gpt-sovits-webui
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 CRITICAL [email protected]
CVSS 4.0 HIGH [email protected]
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2025-49839 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2025-49839 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2025-49839 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2025-49839 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • Initial Analysis by [email protected]

    Jul. 30, 2025

    Action Type Old Value New Value
    Added CVSS V3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
    Added CPE Configuration OR *cpe:2.3:a:rvc-boss:gpt-sovits-webui:*:*:*:*:*:*:*:* versions up to (including) 20250228v3
    Added Reference Type GitHub, Inc.: https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/bsroformer.py#L289 Types: Product
    Added Reference Type GitHub, Inc.: https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L157 Types: Product
    Added Reference Type GitHub, Inc.: https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L192-L205 Types: Product
    Added Reference Type GitHub, Inc.: https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L52-L59 Types: Product
    Added Reference Type GitHub, Inc.: https://securitylab.github.com/advisories/GHSL-2025-049_GHSL-2025-053_RVC-Boss_GPT-SoVITS/ Types: Exploit, Third Party Advisory
  • New CVE Received by [email protected]

    Jul. 15, 2025

    Action Type Old Value New Value
    Added Description 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.
    Added CVSS V4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
    Added CWE CWE-502
    Added Reference https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/bsroformer.py#L289
    Added Reference https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L157
    Added Reference https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L192-L205
    Added Reference https://github.com/RVC-Boss/GPT-SoVITS/blob/165882d64f474b3563fa91adc1a679436ae9c3b8/tools/uvr5/webui.py#L52-L59
    Added Reference https://securitylab.github.com/advisories/GHSL-2025-049_GHSL-2025-053_RVC-Boss_GPT-SoVITS/
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
Vulnerability Scoring Details
Base CVSS Score: 8.9
Attack Vector
Attack Complexity
Attack Requirements
Privileges Required
User Interaction
VS Confidentiality
VS Integrity
VS Availability
SS Confidentiality
SS Integrity
SS Availability
Base CVSS Score: 9.8
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality Impact
Integrity Impact
Availability Impact