FKIE_CVE-2016-8858
Vulnerability from fkie_nvd - Published: 2016-12-09 11:59 - Updated: 2026-06-17 00:55
Severity
Summary
The kex_input_kexinit function in kex.c in OpenSSH 6.x and 7.x through 7.3 allows remote attackers to cause a denial of service (memory consumption) by sending many duplicate KEXINIT requests. NOTE: a third party reports that "OpenSSH upstream does not consider this as a security issue."
References
{
"affected": [
{
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],
"source": "cve@mitre.org"
}
],
"configurations": [
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"criteria": "cpe:2.3:a:openbsd:openssh:6.8:*:*:*:*:*:*:*",
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"vulnerable": true
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"sourceIdentifier": "cve@mitre.org",
"tags": [
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"descriptions": [
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"lang": "en",
"value": "The kex_input_kexinit function in kex.c in OpenSSH 6.x and 7.x through 7.3 allows remote attackers to cause a denial of service (memory consumption) by sending many duplicate KEXINIT requests. NOTE: a third party reports that \"OpenSSH upstream does not consider this as a security issue.\""
},
{
"lang": "es",
"value": "** DISPUTADA ** La funci\u00f3n kex_input_kexinit en kex.c en OpenSSH 6.x y 7.x hasta la versi\u00f3n 7.3 permite a atacantes remotos provocar una denegaci\u00f3n de servicio (consumo de memoria) enviando muchas peticiones duplicadas KEXINIT. NOTA: un tercero reporta que \"OpenSSH upstream no considera esto como un problema de seguridad\"."
}
],
"id": "CVE-2016-8858",
"lastModified": "2026-06-17T00:55:05.303",
"metrics": {
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"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
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"baseScore": 7.5,
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.0"
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"impactScore": 3.6,
"source": "nvd@nist.gov",
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"confidentialityImpact": "NONE",
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
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"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
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"options": [
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"exploitation": "none"
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{
"automatable": "yes"
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],
"role": "CISA Coordinator",
"timestamp": "2024-04-15T16:36:39.938823Z",
"version": "2.0.3"
}
}
]
},
"published": "2016-12-09T11:59:00.207",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Issue Tracking",
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],
"url": "http://cvsweb.openbsd.org/cgi-bin/cvsweb/src/usr.bin/ssh/kex.c.diff?r1=1.126\u0026r2=1.127\u0026f=h"
},
{
"source": "cve@mitre.org",
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"url": "http://cvsweb.openbsd.org/cgi-bin/cvsweb/src/usr.bin/ssh/kex.c?rev=1.127\u0026content-type=text/x-cvsweb-markup"
},
{
"source": "cve@mitre.org",
"tags": [
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],
"url": "http://www.openwall.com/lists/oss-security/2016/10/19/3"
},
{
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"tags": [
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"url": "http://www.openwall.com/lists/oss-security/2016/10/20/1"
},
{
"source": "cve@mitre.org",
"tags": [
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"url": "http://www.securityfocus.com/bid/93776"
},
{
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{
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1384860"
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"url": "https://cert-portal.siemens.com/productcert/pdf/ssa-412672.pdf"
},
{
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"tags": [
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"url": "https://github.com/openssh/openssh-portable/commit/ec165c392ca54317dbe3064a8c200de6531e89ad"
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"source": "cve@mitre.org",
"tags": [
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"url": "https://security.FreeBSD.org/advisories/FreeBSD-SA-16:33.openssh.asc"
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{
"source": "cve@mitre.org",
"tags": [
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"url": "https://security.gentoo.org/glsa/201612-18"
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"url": "https://security.netapp.com/advisory/ntap-20180201-0001/"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
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"value": "CWE-399"
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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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