CVE-2024-42437 (GCVE-0-2024-42437)
Vulnerability from cvelistv5 – Published: 2024-08-14 16:41 – Updated: 2024-08-14 17:44
VLAI
EPSS
VEX
Title
Zoom Workplace Apps, SDKs, Rooms Clients, and Rooms Controllers - Buffer Overflow
Summary
Buffer overflow in some Zoom Workplace Apps, SDKs, Rooms Clients, and Rooms Controllers may allow an authenticated user to conduct a denial of service via network access.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-14 17:34 UTC
CWE
- CWE-122 - Heap-based Buffer Overflow
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Zoom Communications Inc. | Zoom Workplace Apps, SDKs, Rooms Clients, and Rooms Controllers |
Affected:
see references
|
guessed |
Date Public
2024-08-13 12:00
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"product": "Zoom Workplace Apps, SDKs, Rooms Clients, and Rooms Controllers",
"vendor": "Zoom Communications Inc.",
"versions": [
{
"status": "affected",
"version": "see references"
}
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}
],
"datePublic": "2024-08-13T12:00:00.000Z",
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"base64": false,
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"value": "Buffer overflow in some Zoom Workplace Apps, SDKs, Rooms Clients, and Rooms Controllers may allow an authenticated user to conduct a denial of service via network access."
}
],
"value": "Buffer overflow in some Zoom Workplace Apps, SDKs, Rooms Clients, and Rooms Controllers may allow an authenticated user to conduct a denial of service via network access."
}
],
"metrics": [
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"cvssV3_1": {
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"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",
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"scenarios": [
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}
],
"problemTypes": [
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"descriptions": [
{
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"description": "CWE-122 Heap-based Buffer Overflow",
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}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-08-14T16:41:12.866Z",
"orgId": "99b9af0d-a833-4a5d-9e2f-8b1324f35351",
"shortName": "Zoom"
},
"references": [
{
"url": "https://www.zoom.com/en/trust/security-bulletin/zsb-24031"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "Zoom Workplace Apps, SDKs, Rooms Clients, and Rooms Controllers - Buffer Overflow",
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},
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"cveId": "CVE-2024-42437",
"datePublished": "2024-08-14T16:41:12.866Z",
"dateReserved": "2024-08-01T19:13:16.137Z",
"dateUpdated": "2024-08-14T17:44:29.139Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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