GSD-2017-7472
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
The KEYS subsystem in the Linux kernel before 4.10.13 allows local users to cause a denial of service (memory consumption) via a series of KEY_REQKEY_DEFL_THREAD_KEYRING keyctl_set_reqkey_keyring calls.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2017-7472",
"description": "The KEYS subsystem in the Linux kernel before 4.10.13 allows local users to cause a denial of service (memory consumption) via a series of KEY_REQKEY_DEFL_THREAD_KEYRING keyctl_set_reqkey_keyring calls.",
"id": "GSD-2017-7472",
"references": [
"https://www.suse.com/security/cve/CVE-2017-7472.html",
"https://access.redhat.com/errata/RHSA-2018:0181",
"https://access.redhat.com/errata/RHSA-2018:0152",
"https://access.redhat.com/errata/RHSA-2018:0151",
"https://ubuntu.com/security/CVE-2017-7472",
"https://advisories.mageia.org/CVE-2017-7472.html",
"https://linux.oracle.com/cve/CVE-2017-7472.html",
"https://packetstormsecurity.com/files/cve/CVE-2017-7472"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2017-7472"
],
"details": "The KEYS subsystem in the Linux kernel before 4.10.13 allows local users to cause a denial of service (memory consumption) via a series of KEY_REQKEY_DEFL_THREAD_KEYRING keyctl_set_reqkey_keyring calls.",
"id": "GSD-2017-7472",
"modified": "2023-12-13T01:21:06.460656Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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{
"product": {
"product_data": [
{
"product_name": "Linux kernel before 4.10.13",
"version": {
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{
"version_affected": "=",
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}
]
}
}
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}
]
},
"problemtype": {
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"value": "exhaust kernel memory"
}
]
}
]
},
"references": {
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"name": "http://lists.opensuse.org/opensuse-security-announce/2018-01/msg00007.html",
"refsource": "MISC",
"url": "http://lists.opensuse.org/opensuse-security-announce/2018-01/msg00007.html"
},
{
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},
{
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},
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"url": "https://github.com/torvalds/linux/commit/c9f838d104fed6f2f61d68164712e3204bf5271b"
},
{
"name": "https://lkml.org/lkml/2017/4/1/235",
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"url": "https://lkml.org/lkml/2017/4/1/235"
},
{
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"url": "https://lkml.org/lkml/2017/4/3/724"
},
{
"name": "https://www.exploit-db.com/exploits/42136/",
"refsource": "MISC",
"url": "https://www.exploit-db.com/exploits/42136/"
},
{
"name": "https://www.kernel.org/pub/linux/kernel/v4.x/ChangeLog-4.10.13",
"refsource": "MISC",
"url": "https://www.kernel.org/pub/linux/kernel/v4.x/ChangeLog-4.10.13"
},
{
"name": "https://bugzilla.redhat.com/show_bug.cgi?id=1442086",
"refsource": "MISC",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1442086"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
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"cpe_match": [
{
"cpe23Uri": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndIncluding": "4.10.12",
"vulnerable": true
}
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"operator": "OR"
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}
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"references": {
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{
"name": "https://www.kernel.org/pub/linux/kernel/v4.x/ChangeLog-4.10.13",
"refsource": "CONFIRM",
"tags": [
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"Vendor Advisory"
],
"url": "https://www.kernel.org/pub/linux/kernel/v4.x/ChangeLog-4.10.13"
},
{
"name": "https://lkml.org/lkml/2017/4/3/724",
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"tags": [
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{
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{
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 4.9,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:L/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 5.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-02-12T23:30Z",
"publishedDate": "2017-05-11T19:29Z"
}
}
}
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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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