GSD-2022-30187
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Azure Storage Library Information Disclosure Vulnerability
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-30187",
"description": "Azure Storage Library Information Disclosure Vulnerability.",
"id": "GSD-2022-30187",
"references": [
"https://www.suse.com/security/cve/CVE-2022-30187.html"
]
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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],
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}
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},
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "(,12.13.0)",
"affected_versions": "All versions before 12.13.0",
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"cwe_ids": [
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"CWE-668",
"CWE-937"
],
"date": "2022-07-21",
"description": "Azure Storage Library Information Disclosure Vulnerability.",
"fixed_versions": [
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],
"identifier": "CVE-2022-30187",
"identifiers": [
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"package_slug": "nuget/Azure.Storage.Blobs",
"pubdate": "2022-07-13",
"solution": "Upgrade to version 12.13.0 or above.",
"title": "Exposure of Resource to Wrong Sphere",
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"CWE-668",
"CWE-937"
],
"date": "2022-07-21",
"description": "Azure Storage Library Information Disclosure Vulnerability.",
"fixed_versions": [
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],
"identifier": "CVE-2022-30187",
"identifiers": [
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"CVE-2022-30187"
],
"not_impacted": "All versions starting from 12.11.0",
"package_slug": "nuget/Azure.Storage.Queues",
"pubdate": "2022-07-13",
"solution": "Upgrade to version 12.11.0 or above.",
"title": "Exposure of Resource to Wrong Sphere",
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"https://github.com/google/security-research/security/advisories/GHSA-6m8q-r22q-vfxh",
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"uuid": "4f947020-bae2-402e-b4f9-d1ca751a411f"
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
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"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "NONE",
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"userInteractionRequired": false
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"scope": "UNCHANGED",
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},
"lastModifiedDate": "2023-05-17T17:15Z",
"publishedDate": "2022-07-12T23:15Z"
}
}
}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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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.
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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.