GHSA-36F2-4M9X-C736

Vulnerability from github – Published: 2026-07-21 21:32 – Updated: 2026-07-21 21:32
VLAI
Details

Linknat VOS3000 and VOS2009 through version 2.1.2.0 contain an unauthenticated SQL injection vulnerability that allows remote attackers to execute arbitrary SQL commands by manipulating the name parameter in a POST request to the login endpoint. Attackers can inject malicious SQL through the login form and retrieve injected query results from a subsequent session request, enabling extraction of plaintext credentials and other database content with DBA-level privileges.

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{
  "affected": [],
  "aliases": [
    "CVE-2016-20096"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-07-21T19:17:07Z",
    "severity": "CRITICAL"
  },
  "details": "Linknat VOS3000 and VOS2009 through version 2.1.2.0 contain an unauthenticated SQL injection vulnerability that allows remote attackers to execute arbitrary SQL commands by manipulating the name parameter in a POST request to the login endpoint. Attackers can inject malicious SQL through the login form and retrieve injected query results from a subsequent session request, enabling extraction of plaintext credentials and other database content with DBA-level privileges.",
  "id": "GHSA-36f2-4m9x-c736",
  "modified": "2026-07-21T21:32:39Z",
  "published": "2026-07-21T21:32:39Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2016-20096"
    },
    {
      "type": "WEB",
      "url": "https://packetstorm.news/files/id/137159"
    },
    {
      "type": "WEB",
      "url": "https://web.archive.org/web/20160601102456/http://www.wooyun.org/bugs/wooyun-2010-0145458"
    },
    {
      "type": "WEB",
      "url": "https://www.linknat.com"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/linknat-vos3000-vos2009-sql-injection-via-login-jsp"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/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

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Nomenclature

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