GHSA-5CG2-9V3X-66CV

Vulnerability from github – Published: 2026-08-04 18:31 – Updated: 2026-08-04 18:31
VLAI
Details

kotaemon through 0.12.0 contains an insecure deserialization vulnerability in the check_connection endpoint that allows unauthenticated attackers to instantiate arbitrary Python classes by supplying crafted YAML/JSON input with a type field. Attackers can exploit this to override the type field with subprocess.check_output and arbitrary arguments, achieving remote code execution with application process privileges.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-69098"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-04T16:16:28Z",
    "severity": "CRITICAL"
  },
  "details": "kotaemon through 0.12.0 contains an insecure deserialization vulnerability in the check_connection endpoint that allows unauthenticated attackers to instantiate arbitrary Python classes by supplying crafted YAML/JSON input with a __type__ field. Attackers can exploit this to override the __type__ field with subprocess.check_output and arbitrary arguments, achieving remote code execution with application process privileges.",
  "id": "GHSA-5cg2-9v3x-66cv",
  "modified": "2026-08-04T18:31:27Z",
  "published": "2026-08-04T18:31:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-69098"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Cinnamon/kotaemon/issues/844"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/kotaemon-unauthenticated-remote-code-execution-via-insecure-deserialization"
    }
  ],
  "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.
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Related by attack behaviour

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