GSD-2019-3861
Vulnerability from gsd - Updated: 2023-12-13 01:24Details
An out of bounds read flaw was discovered in libssh2 before 1.8.1 in the way SSH packets with a padding length value greater than the packet length are parsed. A remote attacker who compromises a SSH server may be able to cause a Denial of Service or read data in the client memory.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-3861",
"description": "An out of bounds read flaw was discovered in libssh2 before 1.8.1 in the way SSH packets with a padding length value greater than the packet length are parsed. A remote attacker who compromises a SSH server may be able to cause a Denial of Service or read data in the client memory.",
"id": "GSD-2019-3861",
"references": [
"https://www.suse.com/security/cve/CVE-2019-3861.html",
"https://www.debian.org/security/2019/dsa-4431",
"https://access.redhat.com/errata/RHBA-2020:0547",
"https://access.redhat.com/errata/RHSA-2019:2136",
"https://advisories.mageia.org/CVE-2019-3861.html",
"https://security.archlinux.org/CVE-2019-3861",
"https://linux.oracle.com/cve/CVE-2019-3861.html",
"https://ubuntu.com/security/CVE-2019-3861"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2019-3861"
],
"details": "An out of bounds read flaw was discovered in libssh2 before 1.8.1 in the way SSH packets with a padding length value greater than the packet length are parsed. A remote attacker who compromises a SSH server may be able to cause a Denial of Service or read data in the client memory.",
"id": "GSD-2019-3861",
"modified": "2023-12-13T01:24:02.784714Z",
"schema_version": "1.4.0"
}
},
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{
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}
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}
]
},
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{
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},
{
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"refsource": "MLIST",
"url": "https://lists.debian.org/debian-lts-announce/2019/03/msg00032.html"
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{
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},
{
"name": "https://www.oracle.com/technetwork/security-advisory/cpuoct2019-5072832.html",
"refsource": "MISC",
"url": "https://www.oracle.com/technetwork/security-advisory/cpuoct2019-5072832.html"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "[0.15,1.8.0]",
"affected_versions": "All versions starting from 0.15 up to 1.8.0",
"cvss_v2": "AV:N/AC:L/Au:N/C:P/I:N/A:P",
"cvss_v3": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-125",
"CWE-937"
],
"date": "2019-04-15",
"description": "An out-of-bounds read flaw was discovered in libssh2 in the way SSH packets with a padding length value greater than the packet length are parsed. A remote attacker who compromises a SSH server may be able to cause a Denial of Service or read data in the client memory.",
"fixed_versions": [
"1.8.2"
],
"identifier": "CVE-2019-3861",
"identifiers": [
"CVE-2019-3861"
],
"not_impacted": "All versions before 0.15, all versions after 1.8.0",
"package_slug": "nuget/libssh2-vc141_xp",
"pubdate": "2019-03-25",
"solution": "Upgrade to version 1.8.2 or above.",
"title": "Out-of-bounds Read",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2019-3861"
],
"uuid": "e65a7494-3bf0-4f53-8661-115ebbab9095"
}
]
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"versionEndIncluding": "1.8.0",
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}
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"references": {
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.4,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 4.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 5.2
}
},
"lastModifiedDate": "2019-04-15T12:31Z",
"publishedDate": "2019-03-25T19:29Z"
}
}
}
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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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