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GHSA-739C-VCH3-5F25

Vulnerability from github – Published: 2026-09-15 21:31 – Updated: 2026-09-15 21:31
VLAI
Details

Joomla Extension - j2commerce.com - Any order can be marked Failed by anyone in J2Store 1.0.0-3.3.2, 4.0.0-4.0.22, 4.1.0-4.1.7 - Unauthenticated denial-of-service against the order pipeline: mass-failing pending orders to disrupt revenue and force manual reprocessing, or flipping already-fulfilled orders back to FAILED to cause operational confusion (unwarranted refunds/cancellations, customer-support load). Unlike the earlier confirmation-fraud issue, this required no correct payment amount or transaction data at all.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-82189"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-472"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-09-15T19:17:41Z",
    "severity": "HIGH"
  },
  "details": "Joomla Extension - j2commerce.com - Any order can be marked Failed by anyone in J2Store 1.0.0-3.3.2, 4.0.0-4.0.22, 4.1.0-4.1.7 - Unauthenticated denial-of-service against the order pipeline: mass-failing pending orders to disrupt revenue and force manual reprocessing, or flipping already-fulfilled orders back to `FAILED` to cause operational confusion (unwarranted refunds/cancellations, customer-support load). Unlike the earlier confirmation-fraud issue, this required no correct payment amount or transaction data at all.",
  "id": "GHSA-739c-vch3-5f25",
  "modified": "2026-09-15T21:31:22Z",
  "published": "2026-09-15T21:31:22Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-82189"
    },
    {
      "type": "WEB",
      "url": "https://www.j2commerce.com"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/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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