CVE-2017-15192 (GCVE-0-2017-15192)

Vulnerability from cvelistv5 – Published: 2017-10-10 21:00 – Updated: 2024-08-05 19:50
VLAI
Summary
In Wireshark 2.4.0 to 2.4.1 and 2.2.0 to 2.2.9, the BT ATT dissector could crash. This was addressed in epan/dissectors/packet-btatt.c by considering a case where not all of the BTATT packets have the same encapsulation level.
CWE
  • n/a
Date Public
2017-10-10 00:00
Show details on NVD website

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            "url": "http://www.securityfocus.com/bid/101235"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Issue Tracking",
              "Vendor Advisory"
            ],
            "url": "https://bugs.wireshark.org/bugzilla/show_bug.cgi?id=14049"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Patch",
              "Vendor Advisory"
            ],
            "url": "https://code.wireshark.org/review/23470"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "url": "https://code.wireshark.org/review/gitweb?p=wireshark.git%3Ba=commit%3Bh=3689dc1db36037436b1616715f9a3f888fc9a0f6"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Vendor Advisory"
            ],
            "url": "https://www.wireshark.org/security/wnpa-sec-2017-42.html"
          }
        ],
        "sourceIdentifier": "cve@mitre.org",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "NVD-CWE-noinfo"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    },
    "redhat_vex": {
      "aggregate_severity": "Moderate",
      "current_release_date": "2026-05-13T01:19:58+00:00",
      "cve": "CVE-2017-15192",
      "id": "CVE-2017-15192",
      "initial_release_date": "2017-10-10T00:00:00+00:00",
      "product_status:known_affected": "8",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "wireshark: BT ATT dissector crash",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2017/cve-2017-15192.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2026-09-09T00:44:10Z",
      "cve": "CVE-2017-15192",
      "id": "CVE-2017-15192",
      "initial_release_date": "2023-02-15T04:38:36Z",
      "product_status:known_not_affected": "127",
      "product_status:recommended": "596",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2017-15192",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2017-15192.json",
      "version": "20"
    }
  }
}



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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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Detection rules are retrieved from Rulezet.

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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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