FKIE_CVE-2006-7188

Vulnerability from fkie_nvd - Published: 2007-04-03 00:19 - Updated: 2026-06-16 22:34
Severity
Summary
The search function in cgi-lib/user-lib/search.pl in web-app.net WebAPP before 20060909 allows remote attackers to read internal forum posts via certain requests, possibly related to the $info{'forum'} variable.
Impacted products
Vendor Product Version
web-app.net webapp 0.9.9.6

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:web-app.net:webapp:0.9.9.6:*:*:*:*:*:*:*",
              "matchCriteriaId": "2D927790-D759-442A-8089-FAB2974F9AB1",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The search function in cgi-lib/user-lib/search.pl in web-app.net WebAPP before 20060909 allows remote attackers to read internal forum posts via certain requests, possibly related to the $info{\u0027forum\u0027} variable."
    },
    {
      "lang": "es",
      "value": "La funci\u00f3n search en cgi-lib/user-lib/search.pl en web-app.net WebAPP anetrior a 20060909 permite a atacantes remotos leer correos internos del foro a trav\u00e9s de ciertas respuestas, posiblemente relacionado con la variable $info{\u0027forum\u0027}."
    }
  ],
  "id": "CVE-2006-7188",
  "lastModified": "2026-06-16T22:34:32.640",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "NONE",
          "baseScore": 5.0,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ]
  },
  "published": "2007-04-03T00:19:00.000",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Patch"
      ],
      "url": "http://www.web-app.net/cgi-bin/index.cgi?action=downloadinfo\u0026cat=security\u0026id=1"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Patch"
      ],
      "url": "http://www.web-app.net/cgi-bin/index.cgi?action=redirectd\u0026cat=security\u0026id=1"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Patch"
      ],
      "url": "http://www.web-app.net/cgi-bin/index.cgi?action=downloadinfo\u0026cat=security\u0026id=1"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Patch"
      ],
      "url": "http://www.web-app.net/cgi-bin/index.cgi?action=redirectd\u0026cat=security\u0026id=1"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-Other"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



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

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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