GHSA-85FQ-CWC3-MP4Q

Vulnerability from github – Published: 2024-01-05 18:30 – Updated: 2025-11-04 21:30
VLAI
Details

When a transaction is committed, C Xenstored will first check the quota is correct before attempting to commit any nodes. It would be possible that accounting is temporarily negative if a node has been removed outside of the transaction.

Unfortunately, some versions of C Xenstored are assuming that the quota cannot be negative and are using assert() to confirm it. This will lead to C Xenstored crash when tools are built without -DNDEBUG (this is the default).

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2023-34323"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-476"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-01-05T17:15:08Z",
    "severity": "MODERATE"
  },
  "details": "When a transaction is committed, C Xenstored will first check\nthe quota is correct before attempting to commit any nodes.  It would\nbe possible that accounting is temporarily negative if a node has\nbeen removed outside of the transaction.\n\nUnfortunately, some versions of C Xenstored are assuming that the\nquota cannot be negative and are using assert() to confirm it.  This\nwill lead to C Xenstored crash when tools are built without -DNDEBUG\n(this is the default).",
  "id": "GHSA-85fq-cwc3-mp4q",
  "modified": "2025-11-04T21:30:54Z",
  "published": "2024-01-05T18:30:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-34323"
    },
    {
      "type": "WEB",
      "url": "https://xenbits.xenproject.org/xsa/advisory-440.html"
    },
    {
      "type": "WEB",
      "url": "http://xenbits.xen.org/xsa/advisory-440.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:L/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.

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