ubuntu-cve-2016-8858
Vulnerability from osv_ubuntu
Published
2016-12-09 11:59
Modified
2026-07-21 15:05
Summary
Details
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."
Severity
7.5 (High)
7.5 (High)
N/A (UNKNOWN)
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "openssh-client",
"binary_version": "1:6.6p1-2ubuntu2.13+esm2"
},
{
"binary_name": "openssh-server",
"binary_version": "1:6.6p1-2ubuntu2.13+esm2"
},
{
"binary_name": "openssh-sftp-server",
"binary_version": "1:6.6p1-2ubuntu2.13+esm2"
},
{
"binary_name": "ssh",
"binary_version": "1:6.6p1-2ubuntu2.13+esm2"
},
{
"binary_name": "ssh-askpass-gnome",
"binary_version": "1:6.6p1-2ubuntu2.13+esm2"
},
{
"binary_name": "ssh-krb5",
"binary_version": "1:6.6p1-2ubuntu2.13+esm2"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:14.04:LTS",
"name": "openssh",
"purl": "pkg:deb/ubuntu/openssh@1:6.6p1-2ubuntu2.13+esm2?arch=source\u0026distro=esm-infra-legacy/trusty"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1:6.2p2-6",
"1:6.2p2-6ubuntu1",
"1:6.4p1-1",
"1:6.4p1-2",
"1:6.5p1-1",
"1:6.5p1-2",
"1:6.5p1-3",
"1:6.5p1-4",
"1:6.5p1-6",
"1:6.6p1-1",
"1:6.6p1-2",
"1:6.6p1-2ubuntu1",
"1:6.6p1-2ubuntu2",
"1:6.6p1-2ubuntu2.2",
"1:6.6p1-2ubuntu2.3",
"1:6.6p1-2ubuntu2.4",
"1:6.6p1-2ubuntu2.6",
"1:6.6p1-2ubuntu2.7",
"1:6.6p1-2ubuntu2.8",
"1:6.6p1-2ubuntu2.10",
"1:6.6p1-2ubuntu2.11",
"1:6.6p1-2ubuntu2.12",
"1:6.6p1-2ubuntu2.13",
"1:6.6p1-2ubuntu2.13+esm1",
"1:6.6p1-2ubuntu2.13+esm2"
]
},
{
"ecosystem_specific": {
"binaries": [
{
"binary_name": "openssh-client",
"binary_version": "1:7.2p2-4ubuntu2.10+esm9"
},
{
"binary_name": "openssh-client-ssh1",
"binary_version": "1:7.2p2-4ubuntu2.10+esm9"
},
{
"binary_name": "openssh-server",
"binary_version": "1:7.2p2-4ubuntu2.10+esm9"
},
{
"binary_name": "openssh-sftp-server",
"binary_version": "1:7.2p2-4ubuntu2.10+esm9"
},
{
"binary_name": "ssh",
"binary_version": "1:7.2p2-4ubuntu2.10+esm9"
},
{
"binary_name": "ssh-askpass-gnome",
"binary_version": "1:7.2p2-4ubuntu2.10+esm9"
},
{
"binary_name": "ssh-krb5",
"binary_version": "1:7.2p2-4ubuntu2.10+esm9"
}
]
},
"package": {
"ecosystem": "Ubuntu:Pro:16.04:LTS",
"name": "openssh",
"purl": "pkg:deb/ubuntu/openssh@1:7.2p2-4ubuntu2.10+esm9?arch=source\u0026distro=esm-infra-legacy/xenial"
},
"ranges": [
{
"events": [
{
"introduced": "0"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"1:6.9p1-2",
"1:6.9p1-3",
"1:7.1p1-1",
"1:7.1p1-3",
"1:7.1p1-4",
"1:7.1p1-6",
"1:7.1p2-1",
"1:7.1p2-2",
"1:7.2p1-1",
"1:7.2p2-1",
"1:7.2p2-2",
"1:7.2p2-3",
"1:7.2p2-4",
"1:7.2p2-4ubuntu1",
"1:7.2p2-4ubuntu2.1",
"1:7.2p2-4ubuntu2.2",
"1:7.2p2-4ubuntu2.4",
"1:7.2p2-4ubuntu2.5",
"1:7.2p2-4ubuntu2.6",
"1:7.2p2-4ubuntu2.7",
"1:7.2p2-4ubuntu2.8",
"1:7.2p2-4ubuntu2.10",
"1:7.2p2-4ubuntu2.10+esm1",
"1:7.2p2-4ubuntu2.10+esm2",
"1:7.2p2-4ubuntu2.10+esm3",
"1:7.2p2-4ubuntu2.10+esm4",
"1:7.2p2-4ubuntu2.10+esm5",
"1:7.2p2-4ubuntu2.10+esm6",
"1:7.2p2-4ubuntu2.10+esm7",
"1:7.2p2-4ubuntu2.10+esm8",
"1:7.2p2-4ubuntu2.10+esm9"
]
}
],
"aliases": [],
"details": "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.\"",
"id": "UBUNTU-CVE-2016-8858",
"modified": "2026-07-21T15:05:29Z",
"published": "2016-12-09T11:59:00Z",
"references": [
{
"type": "REPORT",
"url": "https://ubuntu.com/security/CVE-2016-8858"
},
{
"type": "REPORT",
"url": "http://seclists.org/oss-sec/2016/q4/185"
},
{
"type": "REPORT",
"url": "https://www.cve.org/CVERecord?id=CVE-2016-8858"
}
],
"related": [],
"schema_version": "1.7.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
},
{
"score": "negligible",
"type": "Ubuntu"
}
],
"upstream": [
"CVE-2016-8858"
]
}
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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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