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GHSA-R683-V43C-6XQV

Vulnerability from github – Published: 2025-05-19 22:33 – Updated: 2025-05-19 22:33
VLAI
Summary
samlify SAML Signature Wrapping attack
Details

A Signature Wrapping attack has been found in samlify <v2.10.0, allowing an attacker to forge a SAML Response to authenticate as any user. An attacker would need a signed XML document by the identity provider.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "samlify"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.10.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-47949"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-347"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-05-19T22:33:00Z",
    "nvd_published_at": "2025-05-19T20:15:26Z",
    "severity": "CRITICAL"
  },
  "details": "A Signature Wrapping attack has been found in samlify \u003cv2.10.0, allowing an attacker to forge a SAML Response to authenticate as any user. \nAn attacker would need a signed XML document by the identity provider.",
  "id": "GHSA-r683-v43c-6xqv",
  "modified": "2025-05-19T22:33:00Z",
  "published": "2025-05-19T22:33:00Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/tngan/samlify/security/advisories/GHSA-r683-v43c-6xqv"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-47949"
    },
    {
      "type": "WEB",
      "url": "https://github.com/tngan/samlify/commit/115679acd89f0a37ea3ebd8fff7db54fca3e8af3"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/tngan/samlify"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "samlify SAML Signature Wrapping attack"
}



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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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