GHSA-X4CW-PVCR-8P4M

Vulnerability from github – Published: 2022-05-17 02:10 – Updated: 2025-04-09 04:09
VLAI
Details

Multiple directory traversal vulnerabilities in geekigeeki.py in GeekiGeeki before 3.0 allow remote attackers to read arbitrary files via directory traversal sequences in a pagename argument in the (1) handle_edit and (2) handle_raw functions.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2008-6786"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-22"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2009-05-01T18:30:00Z",
    "severity": "MODERATE"
  },
  "details": "Multiple directory traversal vulnerabilities in geekigeeki.py in GeekiGeeki before 3.0 allow remote attackers to read arbitrary files via directory traversal sequences in a pagename argument in the (1) handle_edit and (2) handle_raw functions.",
  "id": "GHSA-x4cw-pvcr-8p4m",
  "modified": "2025-04-09T04:09:07Z",
  "published": "2022-05-17T02:10:13Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2008-6786"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/47375"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/33162"
    },
    {
      "type": "WEB",
      "url": "http://www.codewiz.org/wikigit/geekigeeki.git/blobdiff/92e45c3ce9260c69b4201d877c0f2e431024a52e..5f99f96a7a102bb8f2c491dd1e11fe8686c7c0a0:/geekigeeki.py"
    },
    {
      "type": "WEB",
      "url": "http://www.codewiz.org/wikigit/geekigeeki.git?a=commit%3Bh=5f99f96a7a102bb8f2c491dd1e11fe8686c7c0a0"
    },
    {
      "type": "WEB",
      "url": "http://www.codewiz.org/wikigit/geekigeeki.git?a=commit;h=5f99f96a7a102bb8f2c491dd1e11fe8686c7c0a0"
    },
    {
      "type": "WEB",
      "url": "http://www.osvdb.org/50719"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/32831"
    }
  ],
  "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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