CVE-2016-6308 (GCVE-0-2016-6308)
Vulnerability from cvelistv5 – Published: 2016-09-26 00:00 – Updated: 2024-08-06 01:29
VLAI
EPSS
VEX
Summary
statem/statem_dtls.c in the DTLS implementation in OpenSSL 1.1.0 before 1.1.0a allocates memory before checking for an excessive length, which might allow remote attackers to cause a denial of service (memory consumption) via crafted DTLS messages.
Severity
5.9 (Medium)
CWE
- n/a
Assigner
References
16 references
Date Public
2016-09-22 00:00
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"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2026-08-04T23:15:04+00:00",
"cve": "CVE-2016-6308",
"id": "CVE-2016-6308",
"initial_release_date": "2016-09-21T00:00:00+00:00",
"product_status:known_not_affected": "23",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "openssl: excessive allocation of memory in dtls1_preprocess_fragment()",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2016/cve-2016-6308.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "low",
"current_release_date": "2026-09-01T02:13:52Z",
"cve": "CVE-2016-6308",
"id": "CVE-2016-6308",
"initial_release_date": "2023-02-15T04:59:34Z",
"product_status:known_not_affected": "130",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2016-6308",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2016-6308.json",
"version": "11"
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}
}
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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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