GHSA-JMHC-VXG9-H2G4

Vulnerability from github – Published: 2021-12-09 00:01 – Updated: 2025-10-22 00:32
VLAI
Details

A Stack-based buffer overflow vulnerability in SMA100 Apache httpd server's mod_cgi module environment variables allows a remote unauthenticated attacker to potentially execute code as a 'nobody' user in the appliance. This vulnerability affected SMA 200, 210, 400, 410 and 500v appliances firmware 10.2.0.8-37sv, 10.2.1.1-19sv, 10.2.1.2-24sv and earlier versions.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2021-20038"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-121",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-12-08T10:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "A Stack-based buffer overflow vulnerability in SMA100 Apache httpd server\u0027s mod_cgi module environment variables allows a remote unauthenticated attacker to potentially execute code as a \u0027nobody\u0027 user in the appliance. This vulnerability affected SMA 200, 210, 400, 410 and 500v appliances firmware 10.2.0.8-37sv, 10.2.1.1-19sv, 10.2.1.2-24sv and earlier versions.",
  "id": "GHSA-jmhc-vxg9-h2g4",
  "modified": "2025-10-22T00:32:26Z",
  "published": "2021-12-09T00:01:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-20038"
    },
    {
      "type": "WEB",
      "url": "https://github.com/jbaines-r7/badblood"
    },
    {
      "type": "WEB",
      "url": "https://psirt.global.sonicwall.com/vuln-detail/SNWLID-2021-0026"
    },
    {
      "type": "WEB",
      "url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2021-20038"
    },
    {
      "type": "WEB",
      "url": "https://www.rapid7.com/blog/post/2022/01/11/cve-2021-20038-42-sonicwall-sma-100-multiple-vulnerabilities-fixed-2"
    }
  ],
  "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"
    }
  ]
}



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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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