GHSA-5QF9-CF9C-HJC6

Vulnerability from github – Published: 2026-06-08 15:33 – Updated: 2026-06-12 19:06
VLAI
Summary
Routinator crashes when encountering maliciously crafted RRDP XML files
Details

When Routinator encounters a file via RRDP using a specifically crafted Document Type Definition, Routinator crashes.

Show details on source website

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 0.15.1"
      },
      "package": {
        "ecosystem": "crates.io",
        "name": "routinator"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.15.2"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-49235"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400",
      "CWE-755",
      "CWE-776"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-06-12T19:06:16Z",
    "nvd_published_at": "2026-06-08T15:16:48Z",
    "severity": "HIGH"
  },
  "details": "When Routinator encounters a file via RRDP using a specifically crafted Document Type Definition, Routinator crashes.",
  "id": "GHSA-5qf9-cf9c-hjc6",
  "modified": "2026-06-12T19:06:16Z",
  "published": "2026-06-08T15:33:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-49235"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/NLnetLabs/routinator"
    },
    {
      "type": "WEB",
      "url": "https://github.com/NLnetLabs/routinator/releases/tag/v0.15.2"
    },
    {
      "type": "WEB",
      "url": "https://www.nlnetlabs.nl/downloads/routinator/CVE-2026-49235.txt"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:L",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Routinator crashes when encountering maliciously crafted RRDP XML files"
}


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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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