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CVE-2025-49839VulnerabilityPublished

CVE-2025-49839: RVC-Boss GPT-SoVITS · Deserialization of Untrusted Data

Affects RVC-Boss GPT-SoVITSSource CVE Database V5

0

Not known to be exploited · CVSS 8.9 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 4.0 base score
8.9High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.7% chance of exploitation in 30 days – higher than 55% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
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

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 15 Jul 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
GitHubrvc-boss/GPT-SoVITSpkg:github/rvc-boss/GPT-SoVITSOther threatsAffected
  • <=20250228v3
Fixed in–

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AI-suggested

Immediate mitigation should focus on restricting access to the GPT-SoVITS-WebUI to trusted users and networks only, employing network segmentation and firewall rules to limit exposure. Administrators should disable or restrict the functionality that allows user-supplied model paths until a patch is available. Implementing input validation and sanitization on the model_choose parameter can reduce risk, although this is a temporary measure. Monitoring and logging all access to the vulnerable component is critical to detect potential exploitation attempts. Organizations should also consider running the application in a sandboxed or containerized environment with minimal privileges to contain any compromise. Finally, staying alert for vendor updates or patches and applying them promptly once released is essential. If possible, replacing torch.load with safer deserialization methods or restricting deserialization to trusted sources is recommended in future versions.

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.

References

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