GHSA-V76G-P5XJ-4QM7

Vulnerability from github – Published: 2022-05-01 07:16 – Updated: 2025-04-03 04:39
VLAI
Details

SQL-Ledger 2.4.4 through 2.6.17 authenticates users by verifying that the value of the sql-ledger-[username] cookie matches the value of the sessionid parameter, which allows remote attackers to gain access as any logged-in user by setting the cookie and the parameter to the same value.

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{
  "affected": [],
  "aliases": [
    "CVE-2006-4244"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-287"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2006-08-31T01:04:00Z",
    "severity": "HIGH"
  },
  "details": "SQL-Ledger 2.4.4 through 2.6.17 authenticates users by verifying that the value of the sql-ledger-[username] cookie matches the value of the sessionid parameter, which allows remote attackers to gain access as any logged-in user by setting the cookie and the parameter to the same value.",
  "id": "GHSA-v76g-p5xj-4qm7",
  "modified": "2025-04-03T04:39:29Z",
  "published": "2022-05-01T07:16:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2006-4244"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/28671"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/21689"
    },
    {
      "type": "WEB",
      "url": "http://securityreason.com/securityalert/1472"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/archive/1/444741/100/0/threaded"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/archive/1/445512"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/19758"
    },
    {
      "type": "WEB",
      "url": "http://www.sql-ledger.org/cgi-bin/nav.pl?page=news.html\u0026title=What%27s%20New"
    },
    {
      "type": "WEB",
      "url": "http://www.sql-ledger.org/cgi-bin/nav.pl?page=news.html\u0026title=What\u0027s%20New"
    }
  ],
  "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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