GSD-2020-6080
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
An exploitable denial-of-service vulnerability exists in the resource allocation handling of Videolabs libmicrodns 0.1.0. When encountering errors while parsing mDNS messages, some allocated data is not freed, possibly leading to a denial-of-service condition via resource exhaustion. An attacker can send one mDNS message repeatedly to trigger this vulnerability through the function rr_read_RR [5] reads the current resource record, except for the RDATA section. This is read by the loop at in rr_read. For each RR type, a different function is called. When the RR type is 0x10, the function rr_read_TXT is called at [6].
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-6080",
"description": "An exploitable denial-of-service vulnerability exists in the resource allocation handling of Videolabs libmicrodns 0.1.0. When encountering errors while parsing mDNS messages, some allocated data is not freed, possibly leading to a denial-of-service condition via resource exhaustion. An attacker can send one mDNS message repeatedly to trigger this vulnerability through the function rr_read_RR [5] reads the current resource record, except for the RDATA section. This is read by the loop at in rr_read. For each RR type, a different function is called. When the RR type is 0x10, the function rr_read_TXT is called at [6].",
"id": "GSD-2020-6080",
"references": [
"https://www.debian.org/security/2020/dsa-4671",
"https://advisories.mageia.org/CVE-2020-6080.html",
"https://security.archlinux.org/CVE-2020-6080"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "An exploitable denial-of-service vulnerability exists in the resource allocation handling of Videolabs libmicrodns 0.1.0. When encountering errors while parsing mDNS messages, some allocated data is not freed, possibly leading to a denial-of-service condition via resource exhaustion. An attacker can send one mDNS message repeatedly to trigger this vulnerability through the function rr_read_RR [5] reads the current resource record, except for the RDATA section. This is read by the loop at in rr_read. For each RR type, a different function is called. When the RR type is 0x10, the function rr_read_TXT is called at [6].",
"id": "GSD-2020-6080",
"modified": "2023-12-13T01:21:55.009569Z",
"schema_version": "1.4.0"
}
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}
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
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"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
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"severity": "MEDIUM",
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"scope": "UNCHANGED",
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},
"lastModifiedDate": "2022-04-22T19:06Z",
"publishedDate": "2020-03-24T21:15Z"
}
}
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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