GHSA-32VG-VJ46-3H6W

Vulnerability from github – Published: 2026-07-20 12:33 – Updated: 2026-07-20 12:33
VLAI
Details

A vulnerability was found in the network packet de-fragmentation engine of kronosnet (Version affected <= 1.34). The internal reassembly code does not properly validate sequence numbers of incoming payload fragments. An attacker can exploit this lack of verification by transmitting malformed packets with corrupted sequence parameters. Under specific conditions, this forces the packet processing layer to parse data outside the designated bounds of the internal memory structures, causing an out-of-bounds memory access or heap corruption. This behavior can result in sudden application crashes or system instability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-15813"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-20T12:17:55Z",
    "severity": "MODERATE"
  },
  "details": "A vulnerability was found in the network packet de-fragmentation engine of kronosnet (Version affected \u003c= 1.34). The internal reassembly code does not properly validate sequence numbers of incoming payload fragments. An attacker can exploit this lack of verification by transmitting malformed packets with corrupted sequence parameters. Under specific conditions, this forces the packet processing layer to parse data outside the designated bounds of the internal memory structures, causing an out-of-bounds memory access or heap corruption. This behavior can result in sudden application crashes or system instability.",
  "id": "GHSA-32vg-vj46-3h6w",
  "modified": "2026-07-20T12:33:08Z",
  "published": "2026-07-20T12:33:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-15813"
    },
    {
      "type": "WEB",
      "url": "https://access.redhat.com/security/cve/CVE-2026-15813"
    },
    {
      "type": "WEB",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2500854"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/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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