GHSA-RR9H-8V7W-6V77

Vulnerability from github – Published: 2026-04-05 21:30 – Updated: 2026-04-05 21:30
VLAI
Details

IP TOOLS 2.50 contains a local buffer overflow vulnerability in the SNMP Scanner component that allows local attackers to crash the application by supplying oversized input. Attackers can paste malicious data into the 'From Addr' and 'To Addr' fields and trigger the crash by clicking the Start button, causing denial of service and SEH overwrite.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2018-25256"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-04-05T21:16:41Z",
    "severity": "MODERATE"
  },
  "details": "IP TOOLS 2.50 contains a local buffer overflow vulnerability in the SNMP Scanner component that allows local attackers to crash the application by supplying oversized input. Attackers can paste malicious data into the \u0027From Addr\u0027 and \u0027To Addr\u0027 fields and trigger the crash by clicking the Start button, causing denial of service and SEH overwrite.",
  "id": "GHSA-rr9h-8v7w-6v77",
  "modified": "2026-04-05T21:30:19Z",
  "published": "2026-04-05T21:30:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2018-25256"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/46286"
    },
    {
      "type": "WEB",
      "url": "https://www.ks-soft.net/ip-tools.eng/index.htm"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/ip-tools-local-buffer-overflow-denial-of-service"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/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.

Sightings

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Nomenclature

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