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GHSA-XPHG-W288-5VJW

Vulnerability from github – Published: 2025-09-30 12:30 – Updated: 2025-11-26 15:34
VLAI
Details

PAD CMS implements weak client-side brute-force protection by utilizing two cookies:  login_count and login_timeout. Information about attempt count or timeout is not stored on the server, which allows a malicious attacker to bypass this brute-force protection by resetting those cookies. This issue affects all 3 templates: www, bip and www+bip.

This product is End-Of-Life and producent will not publish patches for this vulnerability.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-8118"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-307"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-09-30T11:37:44Z",
    "severity": "MODERATE"
  },
  "details": "PAD CMS implements weak client-side brute-force protection by utilizing two cookies:\u00a0\u00a0login_count\u00a0and login_timeout.\u00a0Information about attempt count or timeout is not stored on the server, which allows a malicious attacker to bypass this brute-force protection by resetting those cookies. This issue affects all 3 templates: www, bip and www+bip.\n\nThis product is End-Of-Life and producent will not publish patches for this vulnerability.",
  "id": "GHSA-xphg-w288-5vjw",
  "modified": "2025-11-26T15:34:09Z",
  "published": "2025-09-30T12:30:52Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-8118"
    },
    {
      "type": "WEB",
      "url": "https://cert.pl/posts/2025/09/CVE-2025-7063"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:L/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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Related by attack behaviour

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