GSD-2018-10924
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
It was discovered that fsync(2) system call in glusterfs client code leaks memory. An authenticated attacker could use this flaw to launch a denial of service attack by making gluster clients consume memory of the host machine.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2018-10924",
"description": "It was discovered that fsync(2) system call in glusterfs client code leaks memory. An authenticated attacker could use this flaw to launch a denial of service attack by making gluster clients consume memory of the host machine.",
"id": "GSD-2018-10924",
"references": [
"https://www.suse.com/security/cve/CVE-2018-10924.html",
"https://ubuntu.com/security/CVE-2018-10924"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2018-10924"
],
"details": "It was discovered that fsync(2) system call in glusterfs client code leaks memory. An authenticated attacker could use this flaw to launch a denial of service attack by making gluster clients consume memory of the host machine.",
"id": "GSD-2018-10924",
"modified": "2023-12-13T01:22:41.237391Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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"vendor_data": [
{
"product": {
"product_data": [
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"product_name": "glusterfs",
"version": {
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"version_value": "n/a"
}
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"value": "It was discovered that fsync(2) system call in glusterfs client code leaks memory. An authenticated attacker could use this flaw to launch a denial of service attack by making gluster clients consume memory of the host machine."
}
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},
"impact": {
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},
{
"name": "https://review.gluster.org/#/c/glusterfs/+/20723/",
"refsource": "CONFIRM",
"url": "https://review.gluster.org/#/c/glusterfs/+/20723/"
},
{
"name": "GLSA-201904-06",
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"url": "https://security.gentoo.org/glsa/201904-06"
},
{
"name": "openSUSE-SU-2020:0079",
"refsource": "SUSE",
"url": "http://lists.opensuse.org/opensuse-security-announce/2020-01/msg00035.html"
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"nvd.nist.gov": {
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},
"impact": {
"baseMetricV2": {
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"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "COMPLETE",
"baseScore": 6.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:N/A:C",
"version": "2.0"
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"exploitabilityScore": 8.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
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"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
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"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2019-10-03T00:03Z",
"publishedDate": "2018-09-04T15:29Z"
}
}
}
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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
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- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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