GHSA-GCC9-WQF3-69QJ

Vulnerability from github – Published: 2026-01-07 21:31 – Updated: 2026-01-08 18:30
VLAI
Details

OpenLDAP Lightning Memory-Mapped Database (LMDB) mdb_load contains a heap buffer underflow vulnerability in the readline() function. When processing malformed input, an unsigned offset calculation can underflow a heap pointer, resulting in an out-of-bounds read of one byte before the allocated heap buffer. This may allow a local attacker to cause a denial of service and potentially disclose limited heap memory contents.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-22185"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-125"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-01-07T21:16:01Z",
    "severity": "HIGH"
  },
  "details": "OpenLDAP Lightning Memory-Mapped Database (LMDB) mdb_load contains a heap buffer underflow vulnerability in the readline() function. When processing malformed input, an unsigned offset calculation can underflow a heap pointer, resulting in an out-of-bounds read of one byte before the allocated heap buffer. This may allow a local attacker to cause a denial of service and potentially disclose limited heap memory contents.",
  "id": "GHSA-gcc9-wqf3-69qj",
  "modified": "2026-01-08T18:30:43Z",
  "published": "2026-01-07T21:31:56Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-22185"
    },
    {
      "type": "WEB",
      "url": "https://bugs.openldap.org/show_bug.cgi?id=10421"
    },
    {
      "type": "WEB",
      "url": "https://seclists.org/fulldisclosure/2026/Jan/5"
    },
    {
      "type": "WEB",
      "url": "https://seclists.org/fulldisclosure/2026/Jan/8"
    },
    {
      "type": "WEB",
      "url": "https://www.openldap.org"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/openldap-lmdb-mdb-load-heap-buffer-underflow-in-readline"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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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