CVE-2011-0024 (GCVE-0-2011-0024)
Vulnerability from cvelistv5 – Published: 2011-03-28 16:00 – Updated: 2024-08-06 21:43
VLAI
EPSS
VEX
Summary
Heap-based buffer overflow in wiretap/pcapng.c in Wireshark before 1.2 allows remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a crafted capture file.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
4 references
| URL | Tags |
|---|---|
| http://www.redhat.com/support/errata/RHSA-2011-03… | vendor-advisoryx_refsource_REDHAT |
| http://www.vupen.com/english/advisories/2011/0719 | vdb-entryx_refsource_VUPEN |
| https://bugzilla.redhat.com/show_bug.cgi?id=671331 | x_refsource_CONFIRM |
| http://secunia.com/advisories/43821 | third-party-advisoryx_refsource_SECUNIA |
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{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=671331"
}
],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-119"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2026-01-13T21:01:43+00:00",
"cve": "CVE-2011-0024",
"id": "CVE-2011-0024",
"initial_release_date": "2011-03-21T00:00:00+00:00",
"product_status:fixed": "92",
"product_status:known_not_affected": "4",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "wireshark: heap-based buffer overflow in wireshark \u003c 1.2 when reading malformed capture files",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2011/cve-2011-0024.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "moderate",
"current_release_date": "2026-08-27T02:13:50Z",
"cve": "CVE-2011-0024",
"id": "CVE-2011-0024",
"initial_release_date": "2023-02-15T05:55:16Z",
"product_status:recommended": "154",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2011-0024",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2011-0024.json",
"version": "13"
}
}
}
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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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