GSD-2022-22787
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
The Zoom Client for Meetings (for Android, iOS, Linux, macOS, and Windows) before version 5.10.0 fails to properly validate the hostname during a server switch request. This issue could be used in a more sophisticated attack to trick an unsuspecting users client to connect to a malicious server when attempting to use Zoom services.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-22787",
"description": "The Zoom Client for Meetings (for Android, iOS, Linux, macOS, and Windows) before version 5.10.0 fails to properly validate the hostname during a server switch request. This issue could be used in a more sophisticated attack to trick an unsuspecting users client to connect to a malicious server when attempting to use Zoom services.",
"id": "GSD-2022-22787",
"references": [
"https://packetstormsecurity.com/files/cve/CVE-2022-22787"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
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"id": "GSD-2022-22787",
"modified": "2023-12-13T01:19:28.845559Z",
"schema_version": "1.4.0"
}
},
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"ASSIGNER": "security@zoom.us",
"DATE_PUBLIC": "2022-05-17T12:00:00.000Z",
"ID": "CVE-2022-22787",
"STATE": "PUBLIC",
"TITLE": "Insufficient hostname validation during Clusterswitch message in Zoom Client for Meetings"
},
"affects": {
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{
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{
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"version": {
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}
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"credit": [
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"value": "Ivan Fratric of Google Project Zero"
}
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}
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},
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"scope": "UNCHANGED",
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"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:L",
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"solution": [],
"source": {
"advisory": "",
"defect": [],
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"work_around": []
},
"nvd.nist.gov": {
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},
"impact": {
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"acInsufInfo": false,
"cvssV2": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.0,
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},
"lastModifiedDate": "2022-05-27T15:19Z",
"publishedDate": "2022-05-18T17:15Z"
}
}
}
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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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