GSD-2020-11876
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
** DISPUTED ** airhost.exe in Zoom Client for Meetings 4.6.11 uses the SHA-256 hash of 0123425234234fsdfsdr3242 for initialization of an OpenSSL EVP AES-256 CBC context. NOTE: the vendor states that this initialization only occurs within unreachable code.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-11876",
"description": "** DISPUTED ** airhost.exe in Zoom Client for Meetings 4.6.11 uses the SHA-256 hash of 0123425234234fsdfsdr3242 for initialization of an OpenSSL EVP AES-256 CBC context. NOTE: the vendor states that this initialization only occurs within unreachable code.",
"id": "GSD-2020-11876"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-11876"
],
"details": "** DISPUTED ** airhost.exe in Zoom Client for Meetings 4.6.11 uses the SHA-256 hash of 0123425234234fsdfsdr3242 for initialization of an OpenSSL EVP AES-256 CBC context. NOTE: the vendor states that this initialization only occurs within unreachable code.",
"id": "GSD-2020-11876",
"modified": "2023-12-13T01:22:07.818659Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2020-11876",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "** DISPUTED ** airhost.exe in Zoom Client for Meetings 4.6.11 uses the SHA-256 hash of 0123425234234fsdfsdr3242 for initialization of an OpenSSL EVP AES-256 CBC context. NOTE: the vendor states that this initialization only occurs within unreachable code."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://dev.io/posts/zoomzoo/",
"refsource": "MISC",
"url": "https://dev.io/posts/zoomzoo/"
}
]
}
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:zoom:meetings:4.6.11:*:*:*:*:windows:*:*",
"matchCriteriaId": "69FEF670-B354-434F-80FA-FE2075951626",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "airhost.exe in Zoom Client for Meetings 4.6.11 uses the SHA-256 hash of 0123425234234fsdfsdr3242 for initialization of an OpenSSL EVP AES-256 CBC context. NOTE: the vendor states that this initialization only occurs within unreachable code"
},
{
"lang": "es",
"value": "** EN DISPUTA ** El archivo airhost.exe en Zoom Client for Meetings versi\u00f3n 4.6.11, usa el hash SHA-256 de 0123425234234fsdfsdr3242 para la inicializaci\u00f3n de un contexto EVP AES-256 CBC de OpenSSL. NOTA: el vendedor afirma que esta inicializaci\u00f3n s\u00f3lo se produce dentro de un c\u00f3digo inalcanzable."
}
],
"id": "CVE-2020-11876",
"lastModified": "2024-04-11T01:06:45.397",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2020-04-17T16:15:13.977",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://dev.io/posts/zoomzoo/"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-327"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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 |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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- 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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