FKIE_CVE-2020-1906
Vulnerability from fkie_nvd - Published: 2020-10-06 18:15 - Updated: 2026-06-17 03:02
Severity
Summary
A buffer overflow in WhatsApp for Android prior to v2.20.130 and WhatsApp Business for Android prior to v2.20.46 could have allowed an out-of-bounds write when processing malformed local videos with E-AC-3 audio streams.
References
| URL | Tags | ||
|---|---|---|---|
| cve-assign@fb.com | https://www.whatsapp.com/security/advisories/2020/ | Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.whatsapp.com/security/advisories/2020/ | Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| * | |||
| whatsapp_business | * |
{
"affected": [
{
"affectedData": [
{
"product": "WhatsApp for Android",
"vendor": "Facebook",
"versions": [
{
"status": "affected",
"version": "2.20.130"
},
{
"lessThan": "2.20.130",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
},
{
"product": "WhatsApp Business for Android",
"vendor": "Facebook",
"versions": [
{
"status": "affected",
"version": "2.20.46"
},
{
"lessThan": "2.20.46",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "cve-assign@fb.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:whatsapp:whatsapp:*:*:*:*:*:android:*:*",
"matchCriteriaId": "CA9B5336-F9F5-48D4-B49A-64054A2DC30D",
"versionEndExcluding": "2.20.130",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:whatsapp:whatsapp_business:*:*:*:*:*:android:*:*",
"matchCriteriaId": "BF8D5621-155A-427E-82BA-61879B45B5C2",
"versionEndExcluding": "2.20.46",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A buffer overflow in WhatsApp for Android prior to v2.20.130 and WhatsApp Business for Android prior to v2.20.46 could have allowed an out-of-bounds write when processing malformed local videos with E-AC-3 audio streams."
},
{
"lang": "es",
"value": "Un desbordamiento de b\u00fafer en WhatsApp para Android anterior a versi\u00f3n v2.20.130 y WhatsApp Business para Android anterior a versi\u00f3n v2.20.46, podr\u00eda haber permitido una escritura fuera de l\u00edmites al procesar videos locales malformados con transmisiones de audio E-AC-3"
}
],
"id": "CVE-2020-1906",
"lastModified": "2026-06-17T03:02:35.523",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "LOCAL",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.6,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:L/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 3.9,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2020-10-06T18:15:16.907",
"references": [
{
"source": "cve-assign@fb.com",
"tags": [
"Vendor Advisory"
],
"url": "https://www.whatsapp.com/security/advisories/2020/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://www.whatsapp.com/security/advisories/2020/"
}
],
"sourceIdentifier": "cve-assign@fb.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-122"
}
],
"source": "cve-assign@fb.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-787"
}
],
"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 |
|---|
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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