CVE-2025-49840

HighPublic PoCRCE

Published: 15 July 2025

Published

15 July 2025

Modified

30 July 2025

KEV Added

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Patch

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CVSS Score v4 8.9 CVSS:4.0/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

EPSS Score 0.0066 71.5th percentile

Risk Priority 18 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2025-49840 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Rvc-Boss Gpt-Sovits-Webui. Its CVSS base score is 8.9 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 28.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Supply Chain and Deployment risk domain.

The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-9 (Information Input Restrictions).

Deeper analysis

CVE-2025-49840 is an unsafe deserialization vulnerability (CWE-502) in GPT-SoVITS-WebUI, a web interface for voice conversion and text-to-speech functionality within the RVC-Boss/GPT-SoVITS project. It affects versions 20250228v3 and prior, specifically in the inference_webui.py component. User input via the GPT_dropdown variable is passed to the change_gpt_weights function, which uses the controlled gpt_path parameter to load a model with torch.load, enabling arbitrary deserialization of untrusted data.

The vulnerability carries a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H), making it exploitable remotely by unauthenticated attackers with low attack complexity and no user interaction. Attackers can supply a malicious model path, leading to deserialization gadgets that compromise confidentiality, integrity, and availability, potentially resulting in remote code execution on the hosting server.

GitHub Security Lab advisories GHSL-2025-049 and GHSL-2025-053 detail the issue with code references in inference_webui.py (lines 310, 872, and 927), but at the time of publication on 2025-07-15, no known patched versions were available.

EU & UK References

🇪🇺 ENISA EUVD: EUVD-2025-21558

Vulnerability details

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.

CWE(s): CWE-502

AI Security AnalysisAI

AI Category: LLM Application Platforms
Risk Domain: Supply Chain and Deployment
OWASP Top 10 for LLMs 2025: None mapped
Classification Reason: Matched keywords: gpt

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access

Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.

attack.mitre.org →

Why these techniques?

Unsafe deserialization via torch.load on user-controlled model path in webUI enables remote code execution, exploiting a public-facing web application.