GHSA-236P-2RJR-H84V

Vulnerability from github – Published: 2022-05-01 18:29 – Updated: 2022-05-01 18:29
VLAI
Details

Multiple buffer overflows in the AirDefense Airsensor M520 with firmware 4.3.1.1 and 4.4.1.4 allow remote authenticated users to cause a denial of service (HTTPS service outage) via a crafted query string in an HTTPS request to (1) adLog.cgi, (2) post.cgi, or (3) ad.cgi, related to the "files filter."

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2007-5036"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-119",
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2007-09-24T00:17:00Z",
    "severity": "MODERATE"
  },
  "details": "Multiple buffer overflows in the AirDefense Airsensor M520 with firmware 4.3.1.1 and 4.4.1.4 allow remote authenticated users to cause a denial of service (HTTPS service outage) via a crafted query string in an HTTPS request to (1) adLog.cgi, (2) post.cgi, or (3) ad.cgi, related to the \"files filter.\"",
  "id": "GHSA-236p-2rjr-h84v",
  "modified": "2022-05-01T18:29:24Z",
  "published": "2022-05-01T18:29:24Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2007-5036"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/36691"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/4426"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/26869"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/25715"
    },
    {
      "type": "WEB",
      "url": "http://www.sybsecurity.com/advisors/SYBSEC-ADV01-Airsensor_M520_HTTPD_Remote_Preauth_Denial_Of_Service_and_Buffer_Overflow_PoC"
    },
    {
      "type": "WEB",
      "url": "http://www.vupen.com/english/advisories/2007/3226"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}


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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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