GHSA-HR9F-MFPP-QMQ8

Vulnerability from github – Published: 2022-05-01 06:55 – Updated: 2022-05-01 06:55
VLAI?
Details

Application Dynamics Cartweaver ColdFusion 2.16.11 and earlier allows remote attackers to obtain sensitive information via an invalid (1) secondary, (2) PageNum_Results, (3) category, or (4) keywords parameter in (a) Results.cfm; or an invalid (5) ProdID parameter in (b) Details.cfm; which reveal the path in various error messages. NOTE: the behavior for the category, keywords, and ProdID parameters might be resultant from SQL injection.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2006-2047"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2006-04-26T20:06:00Z",
    "severity": "MODERATE"
  },
  "details": "Application Dynamics Cartweaver ColdFusion 2.16.11 and earlier allows remote attackers to obtain sensitive information via an invalid (1) secondary, (2) PageNum_Results, (3) category, or (4) keywords parameter in (a) Results.cfm; or an invalid (5) ProdID parameter in (b) Details.cfm; which reveal the path in various error messages. NOTE: the behavior for the category, keywords, and ProdID parameters might be resultant from SQL injection.",
  "id": "GHSA-hr9f-mfpp-qmq8",
  "modified": "2022-05-01T06:55:16Z",
  "published": "2022-05-01T06:55:16Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2006-2047"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/26061"
    },
    {
      "type": "WEB",
      "url": "http://pridels0.blogspot.com/2006/04/cartweaver-coldfusion-vuln.html"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/19812"
    },
    {
      "type": "WEB",
      "url": "http://www.osvdb.org/24963"
    },
    {
      "type": "WEB",
      "url": "http://www.osvdb.org/24964"
    },
    {
      "type": "WEB",
      "url": "http://www.vupen.com/english/advisories/2006/1513"
    }
  ],
  "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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