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GHSA-7FF3-W2CQ-GMPQ

Vulnerability from github – Published: 2026-08-05 15:32 – Updated: 2026-08-13 15:34
VLAI
Details

Penpot’s ::import-binfile RPC command lacks authorization on the optional file-id parameter, allowing any authenticated user to overwrite any files on the target server and subscribe to WebSocket events, enabling full data exfiltration and data poisoning.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-17613"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-862"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-05T15:16:40Z",
    "severity": "HIGH"
  },
  "details": "Penpot\u2019s ::import-binfile RPC command lacks authorization on the optional file-id parameter, allowing any authenticated user to overwrite any files on the target server and subscribe to WebSocket events, enabling full data exfiltration and data poisoning.",
  "id": "GHSA-7ff3-w2cq-gmpq",
  "modified": "2026-08-13T15:34:19Z",
  "published": "2026-08-05T15:32:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-17613"
    },
    {
      "type": "WEB",
      "url": "https://github.com/penpot/penpot/releases/tag/2.17.0"
    },
    {
      "type": "WEB",
      "url": "https://penpot.app"
    },
    {
      "type": "WEB",
      "url": "https://vokecyber.com/blog/cve-2026-17613-penpot-cross-team-file-takeover"
    },
    {
      "type": "WEB",
      "url": "https://vokecyber.com/research/cve-2026-17613-penpot-cross-team-file-takeover"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "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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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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