GHSA-69PR-R3R6-9M8H

Vulnerability from github – Published: 2026-03-24 12:30 – Updated: 2026-03-24 12:30
VLAI
Details

X-NetStat Pro 5.63 contains a local buffer overflow vulnerability that allows local attackers to execute arbitrary code by overwriting the EIP register through a 264-byte buffer overflow. Attackers can inject shellcode into memory and use an egg hunter technique to locate and execute the payload when the application processes malicious input through HTTP Client or Rules functionality.

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{
  "affected": [],
  "aliases": [
    "CVE-2019-25637"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-24T12:16:04Z",
    "severity": "HIGH"
  },
  "details": "X-NetStat Pro 5.63 contains a local buffer overflow vulnerability that allows local attackers to execute arbitrary code by overwriting the EIP register through a 264-byte buffer overflow. Attackers can inject shellcode into memory and use an egg hunter technique to locate and execute the payload when the application processes malicious input through HTTP Client or Rules functionality.",
  "id": "GHSA-69pr-r3r6-9m8h",
  "modified": "2026-03-24T12:30:24Z",
  "published": "2026-03-24T12:30:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-25637"
    },
    {
      "type": "WEB",
      "url": "https://freshsoftware.com"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/46596"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/x-netstat-pro-local-buffer-overflow-via-egghunter"
    }
  ],
  "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.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Detection rules are retrieved from Rulezet.

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