FKIE_CVE-2018-19627
Vulnerability from fkie_nvd - Published: 2018-11-29 04:29 - Updated: 2026-06-17 01:49
Severity
Summary
In Wireshark 2.6.0 to 2.6.4 and 2.4.0 to 2.4.10, the IxVeriWave file parser could crash. This was addressed in wiretap/vwr.c by adjusting a buffer boundary.
References
{
"affected": [
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"vendor": "n/a",
"versions": [
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"source": "cve@mitre.org"
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"configurations": [
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"value": "In Wireshark 2.6.0 to 2.6.4 and 2.4.0 to 2.4.10, the IxVeriWave file parser could crash. This was addressed in wiretap/vwr.c by adjusting a buffer boundary."
},
{
"lang": "es",
"value": "En Wireshark 2.6.0 a 2.6.4 y 2.4.0 a 02/04/2010, el analizador IxVeriWave de archivos podr\u00eda cerrarse inesperadamente. Esto se abord\u00f3 en wiretap/vwr.c ajustando un l\u00edmite de b\u00fafer."
}
],
"id": "CVE-2018-19627",
"lastModified": "2026-06-17T01:49:37.513",
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"scope": "UNCHANGED",
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"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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"published": "2018-11-29T04:29:00.657",
"references": [
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"url": "https://www.wireshark.org/security/wnpa-sec-2018-55.html"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-125"
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"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.
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.
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- 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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