GHSA-M38G-PFFJ-4HCR

Vulnerability from github – Published: 2026-07-06 09:30 – Updated: 2026-07-06 15:30
VLAI
Details

Uncontrolled Resource Consumption vulnerability in Apache IoTDB. 

Some interface fails to impose reasonable limits on the time span and aggregation interval of the query. An attacker can construct a request with extreme parameters (e.g., a very large time range combined with a minimal interval). This forces the DataNode to build an enormous result set in memory, which exhausts the Java heap and causes the DataNode process to crash.

This issue affects Apache IoTDB: from 1.3.3 before 2.0.8.

Users are recommended to upgrade to version 2.0.8, which fixes the issue.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-24012"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-06T09:16:35Z",
    "severity": "HIGH"
  },
  "details": "Uncontrolled Resource Consumption vulnerability in Apache IoTDB.\u00a0\n\nSome interface\u00a0fails to impose reasonable\nlimits on the time span and aggregation interval of the query.\u00a0An attacker\ncan construct a request with extreme parameters (e.g., a very large time\nrange combined with a minimal interval).\u00a0This forces the DataNode to build\nan enormous result set in memory, which exhausts the Java heap and causes\nthe DataNode process to crash.\n\nThis issue affects Apache IoTDB: from 1.3.3 before 2.0.8.\n\nUsers are recommended to upgrade to version 2.0.8, which fixes the issue.",
  "id": "GHSA-m38g-pffj-4hcr",
  "modified": "2026-07-06T15:30:48Z",
  "published": "2026-07-06T09:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24012"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/0g5th1t2vj6j8hm5t9w3xh9n6f6ht9z8"
    }
  ],
  "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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Nomenclature

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