GSD-2022-3277
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
An uncontrolled resource consumption flaw was found in openstack-neutron. This flaw allows a remote authenticated user to query a list of security groups for an invalid project. This issue creates resources that are unconstrained by the user's quota. If a malicious user were to submit a significant number of requests, this could lead to a denial of service.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-3277",
"id": "GSD-2022-3277",
"references": [
"https://access.redhat.com/errata/RHSA-2022:8855",
"https://access.redhat.com/errata/RHSA-2022:8870",
"https://www.suse.com/security/cve/CVE-2022-3277.html",
"https://access.redhat.com/errata/RHSA-2023:0275"
]
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2022-3277",
"modified": "2023-12-13T01:19:39.725564Z",
"schema_version": "1.4.0"
}
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"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c18.6.0||\u003e=19.0.0,\u003c19.5.0",
"affected_versions": "All versions before 18.6.0, all versions starting from 19.0.0 before 19.5.0",
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"cwe_ids": [
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"CWE-400",
"CWE-937"
],
"date": "2023-03-13",
"description": "An uncontrolled resource consumption flaw was found in openstack-neutron. This flaw allows a remote authenticated user to query a list of security groups for an invalid project. This issue creates resources that are unconstrained by the user\u0027s quota. If a malicious user were to submit a significant number of requests, this could lead to a denial of service.",
"fixed_versions": [
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"identifier": "CVE-2022-3277",
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"package_slug": "pypi/neutron",
"pubdate": "2023-03-06",
"solution": "Upgrade to versions 18.6.0, 19.5.0 or above.",
"title": "Uncontrolled Resource Consumption",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-3277",
"https://bugs.launchpad.net/neutron/+bug/1988026",
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"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-03-13T18:52Z",
"publishedDate": "2023-03-06T23:15Z"
}
}
}
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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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