GHSA-9673-C4FC-MJQ2

Vulnerability from github – Published: 2026-07-20 21:31 – Updated: 2026-07-20 21:31
VLAI
Details

GPT-SoVITS through 20250606v2pro contains an OS command injection vulnerability in webui.py where ASR, slice, denoise, and uvr5 functions interpolate unsanitized Gradio textbox values directly into shell commands executed with shell=True. Attackers can inject shell metacharacters through path parameters to execute arbitrary OS commands as the server process user without authentication.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-63766"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-78"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-20T20:16:46Z",
    "severity": "CRITICAL"
  },
  "details": "GPT-SoVITS through 20250606v2pro contains an OS command injection vulnerability in webui.py where ASR, slice, denoise, and uvr5 functions interpolate unsanitized Gradio textbox values directly into shell commands executed with shell=True. Attackers can inject shell metacharacters through path parameters to execute arbitrary OS commands as the server process user without authentication.",
  "id": "GHSA-9673-c4fc-mjq2",
  "modified": "2026-07-20T21:31:50Z",
  "published": "2026-07-20T21:31:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-63766"
    },
    {
      "type": "WEB",
      "url": "https://github.com/RVC-Boss/GPT-SoVITS/issues/2793"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/gpt-sovits-20250606v2pro-os-command-injection-via-webui-py"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "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:X/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",
      "type": "CVSS_V4"
    }
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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