CVE-2007-6111 (GCVE-0-2007-6111)
Vulnerability from cvelistv5 – Published: 2007-11-23 20:00 – Updated: 2024-08-07 15:54
VLAI
EPSS
VEX
Summary
Multiple unspecified vulnerabilities in Wireshark (formerly Ethereal) allow remote attackers to cause a denial of service (crash) via (1) a crafted MP3 file or (2) unspecified vectors to the NCP dissector.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
24 references
Date Public
2007-11-23 00:00
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Multiple unspecified vulnerabilities in Wireshark (formerly Ethereal) allow remote attackers to cause a denial of service (crash) via (1) a crafted MP3 file or (2) unspecified vectors to the NCP dissector."
},
{
"lang": "es",
"value": "M\u00faltiples vulnerabilidades no especificadas en Wireshark (formalmente Ethereal) que permiten que atacantes remotos provoquen una denegaci\u00f3n de servicio (por ca\u00edda) usando: (1) un fichero MP3 manipulado, o (2) vectores no especificados en el NCP dissector."
}
],
"id": "CVE-2007-6111",
"lastModified": "2026-04-23T00:35:47.467",
"metrics": {
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"baseSeverity": "HIGH",
"cvssData": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.1,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 8.6,
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"source": "nvd@nist.gov",
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"published": "2007-11-23T20:46:00.000",
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"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2025-11-21T13:18:16+00:00",
"cve": "CVE-2007-6111",
"id": "CVE-2007-6111",
"initial_release_date": "2007-11-22T00:00:00+00:00",
"product_status:fixed": "266",
"source": "Red Hat CSAF VEX",
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"title": "wireshark mp3 and ncp flaws",
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},
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"id": "CVE-2007-6111",
"initial_release_date": "2023-02-15T06:10:07Z",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2007-6111",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2007-6111.json",
"version": "5"
}
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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