GHSA-MH5R-57G3-XH23

Vulnerability from github – Published: 2026-03-26 15:30 – Updated: 2026-03-26 15:30
VLAI
Details

PassFab RAR Password Recovery 9.3.2 contains a structured exception handler (SEH) buffer overflow vulnerability that allows local attackers to execute arbitrary code by supplying a malicious payload. Attackers can craft a payload with a buffer overflow, NSEH jump, and shellcode, then paste it into the 'Licensed E-mail and Registration Code' field during registration to trigger code execution.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-25218"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-26T14:16:05Z",
    "severity": "HIGH"
  },
  "details": "PassFab RAR Password Recovery 9.3.2 contains a structured exception handler (SEH) buffer overflow vulnerability that allows local attackers to execute arbitrary code by supplying a malicious payload. Attackers can craft a payload with a buffer overflow, NSEH jump, and shellcode, then paste it into the \u0027Licensed E-mail and Registration Code\u0027 field during registration to trigger code execution.",
  "id": "GHSA-mh5r-57g3-xh23",
  "modified": "2026-03-26T15:30:40Z",
  "published": "2026-03-26T15:30:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-25218"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/46008"
    },
    {
      "type": "WEB",
      "url": "https://www.passfab.com/downloads/passfab-rar-password-recovery.exe"
    },
    {
      "type": "WEB",
      "url": "https://www.passfab.com/products/rar-password-recovery.html"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/passfab-rar-password-recovery-seh-buffer-overflow"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/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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