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GHSA-V63Q-2GXX-5P2W

Vulnerability from github – Published: 2026-09-10 21:31 – Updated: 2026-09-10 21:31
VLAI
Details

IBM Langflow OSS 1.0.0 through 1.11.5 Langflow could allow an authenticated attacker to access sensitive files belonging to other users due to improper access control in the File/Read File component. When executing flows through the /api/v1/run/advanced/{flow_id} endpoint, the application allows component inputs to reference storage paths using arbitrary user or flow identifiers without verifying ownership. An attacker with low‑privileged authenticated access can supply a crafted file path pointing to another user’s storage namespace, causing the backend to read and return the contents of files uploaded by other users. This vulnerability bypasses intended authorization checks enforced by the file management API and may result in unauthorized disclosure of sensitive user data.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-9225"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-639"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-10T21:17:54Z",
    "severity": "MODERATE"
  },
  "details": "IBM Langflow OSS 1.0.0 through 1.11.5 Langflow could allow an authenticated attacker to access sensitive files belonging to other users due to improper access control in the File/Read File component. When executing flows through the /api/v1/run/advanced/{flow_id} endpoint, the application allows component inputs to reference storage paths using arbitrary user or flow identifiers without verifying ownership. An attacker with low\u2011privileged authenticated access can supply a crafted file path pointing to another user\u2019s storage namespace, causing the backend to read and return the contents of files uploaded by other users. This vulnerability bypasses intended authorization checks enforced by the file management API and may result in unauthorized disclosure of sensitive user data.",
  "id": "GHSA-v63q-2gxx-5p2w",
  "modified": "2026-09-10T21:31:38Z",
  "published": "2026-09-10T21:31:38Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-9225"
    },
    {
      "type": "WEB",
      "url": "https://www.ibm.com/support/pages/node/7286657"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}



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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

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