CVE-2023-20737 (GCVE-0-2023-20737)
Vulnerability from cvelistv5 – Published: 2023-06-06 12:11 – Updated: 2025-01-07 21:16
VLAI
EPSS
VEX
Summary
In vcu, there is a possible use after free due to improper locking. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07645149; Issue ID: ALPS07645167.
Severity
6.7 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-07 21:16 UTC
CWE
- Elevation of Privilege
- CWE-667 - Improper Locking
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| MediaTek, Inc. | MT6768, MT6769, MT6779, MT6781, MT6785, MT6789, MT6833, MT6853, MT6853T, MT6873, MT6875, MT6877, MT6883, MT6885, MT6889, MT6891, MT6893, MT8168, MT8365, MT8395 |
Affected:
Android 12.0, 13.0 / Yocto 4.0 / Iot-Yocto 22.2
|
guessed |
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}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2025-05-28T23:14:26+00:00",
"cve": "CVE-2023-20737",
"id": "CVE-2023-20737",
"initial_release_date": "2023-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2023-20737",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2023/cve-2023-20737.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"providerMetadata": {
"dateUpdated": "2024-08-02T09:14:40.991Z",
"orgId": "af854a3a-2127-422b-91ae-364da2661108",
"shortName": "CVE"
},
"references": [
{
"tags": [
"x_transferred"
],
"url": "https://corp.mediatek.com/product-security-bulletin/June-2023"
}
],
"title": "CVE Program Container"
},
{
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 6.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
}
},
{
"other": {
"content": {
"id": "CVE-2023-20737",
"options": [
{
"Exploitation": "none"
},
{
"Automatable": "no"
},
{
"Technical Impact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-01-07T21:16:51.296609Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-667",
"description": "CWE-667 Improper Locking",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2025-01-07T21:16:27.721Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "MT6768, MT6769, MT6779, MT6781, MT6785, MT6789, MT6833, MT6853, MT6853T, MT6873, MT6875, MT6877, MT6883, MT6885, MT6889, MT6891, MT6893, MT8168, MT8365, MT8395",
"vendor": "MediaTek, Inc.",
"versions": [
{
"status": "affected",
"version": "Android 12.0, 13.0 / Yocto 4.0 / Iot-Yocto 22.2"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "In vcu, there is a possible use after free due to improper locking. This could lead to local escalation of privilege with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS07645149; Issue ID: ALPS07645167."
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "Elevation of Privilege",
"lang": "en",
"type": "text"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-06-06T12:11:25.221Z",
"orgId": "ee979b05-11f8-4f25-a7e0-a1fa9c190374",
"shortName": "MediaTek"
},
"references": [
{
"url": "https://corp.mediatek.com/product-security-bulletin/June-2023"
}
]
}
},
"cveMetadata": {
"assignerOrgId": "ee979b05-11f8-4f25-a7e0-a1fa9c190374",
"assignerShortName": "MediaTek",
"cveId": "CVE-2023-20737",
"datePublished": "2023-06-06T12:11:25.221Z",
"dateReserved": "2022-10-28T02:03:10.767Z",
"dateUpdated": "2025-01-07T21:16:57.378Z",
"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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