CVE-2016-9147 (GCVE-0-2016-9147)
Vulnerability from cvelistv5 – Published: 2017-01-12 06:06 – Updated: 2024-08-06 02:42
VLAI
EPSS
VEX
Summary
named in ISC BIND 9.9.9-P4, 9.9.9-S6, 9.10.4-P4, and 9.11.0-P1 allows remote attackers to cause a denial of service (assertion failure and daemon exit) via a response containing an inconsistency among the DNSSEC-related RRsets.
Severity
7.5 (High)
CWE
- n/a
Assigner
References
11 references
| URL | Tags |
|---|---|
| http://www.securitytracker.com/id/1037582 | vdb-entryx_refsource_SECTRACK |
| https://security.gentoo.org/glsa/201708-01 | vendor-advisoryx_refsource_GENTOO |
| https://kb.isc.org/article/AA-01440/74/CVE-2016-9147 | x_refsource_CONFIRM |
| https://security.netapp.com/advisory/ntap-2018092… | x_refsource_CONFIRM |
| https://access.redhat.com/errata/RHSA-2017:1582 | vendor-advisoryx_refsource_REDHAT |
| http://www.debian.org/security/2017/dsa-3758 | vendor-advisoryx_refsource_DEBIAN |
| https://access.redhat.com/errata/RHSA-2017:1583 | vendor-advisoryx_refsource_REDHAT |
| http://www.securityfocus.com/bid/95390 | vdb-entryx_refsource_BID |
| http://rhn.redhat.com/errata/RHSA-2017-0064.html | vendor-advisoryx_refsource_REDHAT |
| http://rhn.redhat.com/errata/RHSA-2017-0063.html | vendor-advisoryx_refsource_REDHAT |
| http://rhn.redhat.com/errata/RHSA-2017-0062.html | vendor-advisoryx_refsource_REDHAT |
Date Public
2017-01-11 00:00
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"url": "https://kb.isc.org/article/AA-01440/74/CVE-2016-9147"
},
{
"source": "cve@mitre.org",
"url": "https://security.gentoo.org/glsa/201708-01"
},
{
"source": "cve@mitre.org",
"url": "https://security.netapp.com/advisory/ntap-20180926-0005/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://rhn.redhat.com/errata/RHSA-2017-0062.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://rhn.redhat.com/errata/RHSA-2017-0063.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://rhn.redhat.com/errata/RHSA-2017-0064.html"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.debian.org/security/2017/dsa-3758"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securityfocus.com/bid/95390"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "http://www.securitytracker.com/id/1037582"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2017:1582"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://access.redhat.com/errata/RHSA-2017:1583"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "https://kb.isc.org/article/AA-01440/74/CVE-2016-9147"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://security.gentoo.org/glsa/201708-01"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://security.netapp.com/advisory/ntap-20180926-0005/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-20"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"aggregate_severity": "Important",
"current_release_date": "2026-05-06T22:47:40+00:00",
"cve": "CVE-2016-9147",
"id": "CVE-2016-9147",
"initial_release_date": "2016-01-01T00:00:00+00:00",
"product_status:fixed": "1848",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "bind: assertion failure while handling a query response containing inconsistent DNSSEC information",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2016/cve-2016-9147.json",
"version": "3"
},
"suse_vex": {
"aggregate_severity": "important",
"current_release_date": "2026-09-14T00:07:03Z",
"cve": "CVE-2016-9147",
"id": "CVE-2016-9147",
"initial_release_date": "2023-02-15T04:56:09Z",
"product_status:known_affected": "63",
"product_status:known_not_affected": "118",
"product_status:recommended": "887",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2016-9147",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2016-9147.json",
"version": "23"
}
}
}
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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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