GHSA-6JPC-6452-QWQ2

Vulnerability from github – Published: 2026-07-14 12:31 – Updated: 2026-09-15 21:31
VLAI
Details

The fix for CVE-2026-0716 (commit 6ff7ef0, libsoup 3.6.6) placed the integer overflow guard inside the if (masked) block, leaving unmasked server-to-client frames unprotected. A malicious WebSocket server can send a crafted unmasked frame with a payload length near UINT64_MAX to trigger an OOB read in a libsoup-based client when max_incoming_payload_size is set to 0.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-12478"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-14T10:16:30Z",
    "severity": "MODERATE"
  },
  "details": "The fix for CVE-2026-0716 (commit 6ff7ef0, libsoup 3.6.6) placed the integer overflow guard inside the if (masked) block, leaving unmasked server-to-client frames unprotected. A malicious WebSocket server can send a crafted unmasked frame with a payload length near UINT64_MAX to trigger an OOB read in a libsoup-based client when max_incoming_payload_size is set to\u00a00.",
  "id": "GHSA-6jpc-6452-qwq2",
  "modified": "2026-09-15T21:31:00Z",
  "published": "2026-07-14T12:31:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-12478"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-12478"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/cve-2026-0716"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2489655"
    },
    {
      "type": "WEB",
      "url": "https://gitlab.gnome.org/GNOME/libsoup/-/merge_requests/518"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:L",
      "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.

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Related by attack behaviour

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