GHSA-98R7-FVM5-PV89

Vulnerability from github – Published: 2022-05-01 17:59 – Updated: 2022-05-01 17:59
VLAI
Details

The ADONewConnection Connect function in adodb.php in XAMPP 1.6.0a and earlier for Windows uses untrusted input for the database server hostname, which allows remote attackers to trigger a library buffer overflow and execute arbitrary code via a long host parameter, or have other unspecified impact. NOTE: it could be argued that this is an issue in mssql_connect (CVE-2007-1411.1) in PHP, or an issue in the ADOdb Library, and the proper fix should be in one of these products; if so, then this should not be treated as a vulnerability in XAMPP.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2007-2079"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2007-04-18T03:19:00Z",
    "severity": "HIGH"
  },
  "details": "The ADONewConnection Connect function in adodb.php in XAMPP 1.6.0a and earlier for Windows uses untrusted input for the database server hostname, which allows remote attackers to trigger a library buffer overflow and execute arbitrary code via a long host parameter, or have other unspecified impact.  NOTE: it could be argued that this is an issue in mssql_connect (CVE-2007-1411.1) in PHP, or an issue in the ADOdb Library, and the proper fix should be in one of these products; if so, then this should not be treated as a vulnerability in XAMPP.",
  "id": "GHSA-98r7-fvm5-pv89",
  "modified": "2022-05-01T17:59:49Z",
  "published": "2022-05-01T17:59:49Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2007-2079"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/33683"
    },
    {
      "type": "WEB",
      "url": "https://www.exploit-db.com/exploits/3738"
    },
    {
      "type": "WEB",
      "url": "http://osvdb.org/41594"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/23491"
    }
  ],
  "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.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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