CVE-2019-19553 (GCVE-0-2019-19553)
Vulnerability from cvelistv5 – Published: 2019-12-05 00:58 – Updated: 2024-08-05 02:16
VLAI
EPSS
VEX
Summary
In Wireshark 3.0.0 to 3.0.6 and 2.6.0 to 2.6.12, the CMS dissector could crash. This was addressed in epan/dissectors/asn1/cms/packet-cms-template.c by ensuring that an object identifier is set to NULL after a ContentInfo dissection.
Severity
7.5 (High)
CWE
- n/a
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://www.wireshark.org/security/wnpa-sec-2019-… | x_refsource_MISC |
| https://bugs.wireshark.org/bugzilla/show_bug.cgi?… | x_refsource_MISC |
| https://code.wireshark.org/review/gitweb?p=wiresh… | x_refsource_MISC |
| http://lists.opensuse.org/opensuse-security-annou… | vendor-advisoryx_refsource_SUSE |
| https://www.oracle.com/security-alerts/cpuapr2020.html | x_refsource_MISC |
| https://lists.debian.org/debian-lts-announce/2021… | mailing-listx_refsource_MLIST |
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"url": "https://www.wireshark.org/security/wnpa-sec-2019-22.html"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-909"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Moderate",
"current_release_date": "2025-11-21T16:15:15+00:00",
"cve": "CVE-2019-19553",
"id": "CVE-2019-19553",
"initial_release_date": "2019-08-02T00:00:00+00:00",
"product_status:known_affected": "4",
"product_status:known_not_affected": "9",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "wireshark: CMS dissector crash (wnpa-sec-2019-22)",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2019/cve-2019-19553.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2026-09-02T02:33:56Z",
"cve": "CVE-2019-19553",
"id": "CVE-2019-19553",
"initial_release_date": "2023-02-15T04:06:02Z",
"product_status:known_not_affected": "158",
"product_status:recommended": "661",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2019-19553",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2019-19553.json",
"version": "27"
}
}
}
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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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