CVE-2016-2367 (GCVE-0-2016-2367)

Vulnerability from cvelistv5 – Published: 2017-01-06 21:00 – Updated: 2024-08-05 23:24
VLAI
Summary
An information leak exists in the handling of the MXIT protocol in Pidgin. Specially crafted MXIT data sent via the server could potentially result in an out-of-bounds read. A malicious user, server, or man-in-the-middle can send an invalid size for an avatar which will trigger an out-of-bounds read vulnerability. This could result in a denial of service or copy data from memory to the file, resulting in an information leak if the avatar is sent to another user.
CWE
  • out-of-bounds read
References
URL Tags
http://www.securityfocus.com/bid/91335 vdb-entryx_refsource_BID
http://www.pidgin.im/news/security/?id=100 x_refsource_CONFIRM
http://www.debian.org/security/2016/dsa-3620 vendor-advisoryx_refsource_DEBIAN
https://security.gentoo.org/glsa/201701-38 vendor-advisoryx_refsource_GENTOO
http://www.ubuntu.com/usn/USN-3031-1 vendor-advisoryx_refsource_UBUNTU
http://www.talosintelligence.com/reports/TALOS-20… x_refsource_MISC
Impacted products
Vendor Product Version CPE status
Pidgin Pidgin Affected: 2.10.11
guessed Create a notification for this product.
Date Public
2016-06-21 00:00
Show details on NVD website

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              "Third Party Advisory"
            ],
            "url": "http://www.ubuntu.com/usn/USN-3031-1"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "url": "https://security.gentoo.org/glsa/201701-38"
          }
        ],
        "sourceIdentifier": "cret@cert.org",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-125"
              },
              {
                "lang": "en",
                "value": "CWE-200"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    },
    "redhat_vex": {
      "aggregate_severity": "Moderate",
      "current_release_date": "2026-05-06T22:48:23+00:00",
      "cve": "CVE-2016-2367",
      "id": "CVE-2016-2367",
      "initial_release_date": "2016-06-21T00:00:00+00:00",
      "product_status:known_affected": "22",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "pidgin: MXIT Avatar Length Memory Disclosure Vulnerability",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2016/cve-2016-2367.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2026-04-13T09:33:24Z",
      "cve": "CVE-2016-2367",
      "id": "CVE-2016-2367",
      "initial_release_date": "2023-02-15T05:06:04Z",
      "product_status:recommended": "28",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2016-2367",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2016-2367.json",
      "version": "9"
    }
  }
}



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Taxonomy of the tags.


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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

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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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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