CVE-2020-8037 (GCVE-0-2020-8037)
Vulnerability from cvelistv5 – Published: 2020-11-04 17:55 – Updated: 2024-09-16 20:27
VLAI
EPSS
VEX
Title
ppp decapsulator can be convinced to allocate a large amount of memory
Summary
The ppp decapsulator in tcpdump 4.9.3 can be convinced to allocate a large amount of memory.
Severity
7.5 (High)
CWE
- memory overallocation error
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://github.com/the-tcpdump-group/tcpdump/comm… | x_refsource_MISC |
| https://lists.debian.org/debian-lts-announce/2020… | mailing-listx_refsource_MLIST |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| https://lists.fedoraproject.org/archives/list/pac… | vendor-advisoryx_refsource_FEDORA |
| http://seclists.org/fulldisclosure/2021/Apr/51 | mailing-listx_refsource_FULLDISC |
| https://support.apple.com/kb/HT212325 | x_refsource_CONFIRM |
| https://support.apple.com/kb/HT212326 | x_refsource_CONFIRM |
| https://support.apple.com/kb/HT212327 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| The TCPdump Group | tcpdump |
Affected:
4.9.3
|
guessed |
Date Public
2020-04-21 00:00
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"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2025-11-21T14:45:06+00:00",
"cve": "CVE-2020-8037",
"id": "CVE-2020-8037",
"initial_release_date": "2020-04-20T00:00:00+00:00",
"product_status:fixed": "13",
"product_status:known_affected": "4",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "tcpdump: ppp decapsulator can be convinced to allocate a large amount of memory",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-8037.json",
"version": "3"
}
}
}
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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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