FKIE_CVE-2020-28030
Vulnerability from fkie_nvd - Published: 2020-11-02 21:15 - Updated: 2026-06-17 03:10
Severity
Summary
In Wireshark 3.2.0 to 3.2.7, the GQUIC dissector could crash. This was addressed in epan/dissectors/packet-gquic.c by correcting the implementation of offset advancement.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| wireshark | wireshark | * | |
| debian | debian_linux | 9.0 | |
| fedoraproject | fedora | 32 | |
| fedoraproject | fedora | 33 |
{
"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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"cveTags": [],
"descriptions": [
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"value": "In Wireshark 3.2.0 to 3.2.7, the GQUIC dissector could crash. This was addressed in epan/dissectors/packet-gquic.c by correcting the implementation of offset advancement."
},
{
"lang": "es",
"value": "En Wireshark versiones 3.2.0 hasta 3.2.7, el disector GQUIC podr\u00eda bloquearse.\u0026#xa0;Esto se abord\u00f3 en el archivo epan/dissectors/packet-gquic.c al corregir la implementaci\u00f3n del avance de compensaci\u00f3n"
}
],
"id": "CVE-2020-28030",
"lastModified": "2026-06-17T03:10:01.623",
"metrics": {
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"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
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"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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"published": "2020-11-02T21:15:30.477",
"references": [
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},
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"url": "https://lists.debian.org/debian-lts-announce/2021/02/msg00008.html"
},
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"url": "https://www.wireshark.org/security/wnpa-sec-2020-15.html"
},
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"tags": [
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"url": "https://www.wireshark.org/security/wnpa-sec-2020-15.html"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-682"
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{
"lang": "en",
"value": "CWE-770"
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{
"lang": "en",
"value": "CWE-835"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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