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FKIE_CVE-2014-5116

Vulnerability from fkie_nvd - Published: 2014-07-29 14:55 - Updated: 2026-06-17 00:11
Severity
Summary
The cairo_image_surface_get_data function in Cairo 1.10.2, as used in GTK+ and Wireshark, allows context-dependent attackers to cause a denial of service (NULL pointer dereference) via a large string.
Impacted products
Vendor Product Version
cairographics cairo 1.10.2

{
  "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:cairographics:cairo:1.10.2:*:*:*:*:*:*:*",
              "matchCriteriaId": "FF2A8FD9-514E-4F79-9D01-AA1DF01712B6",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The cairo_image_surface_get_data function in Cairo 1.10.2, as used in GTK+ and Wireshark, allows context-dependent attackers to cause a denial of service (NULL pointer dereference) via a large string."
    },
    {
      "lang": "es",
      "value": "La funci\u00f3n cairo_image_surface_get_data en Cairo 1.10.2, utilizado en GTK+ y Wireshark, permite a atacantes dependientes de contexto causar una denegaci\u00f3n de servicio (referencia a puntero nulo) a trav\u00e9s de una cadena larga."
    }
  ],
  "evaluatorComment": "\u003ca href=\"http://cwe.mitre.org/data/definitions/476.html\" target=\"_blank\"\u003eCWE-476: NULL Pointer Dereference\u003c/a\u003e\n",
  "id": "CVE-2014-5116",
  "lastModified": "2026-06-17T00:11:05.017",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 5.0,
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ]
  },
  "published": "2014-07-29T14:55:08.127",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Exploit"
      ],
      "url": "http://www.exploit-db.com/exploits/33384"
    },
    {
      "source": "cve@mitre.org",
      "url": "http://www.osvdb.org/107083"
    },
    {
      "source": "cve@mitre.org",
      "url": "https://bugs.wireshark.org/bugzilla/show_bug.cgi?id=9761"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit"
      ],
      "url": "http://www.exploit-db.com/exploits/33384"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "url": "http://www.osvdb.org/107083"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "url": "https://bugs.wireshark.org/bugzilla/show_bug.cgi?id=9761"
    }
  ],
  "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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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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