GSD-2022-23428
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
An improper boundary check in eden_runtime hal service prior to SMR Feb-2022 Release 1 allows arbitrary memory write and code execution.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-23428",
"description": "An improper boundary check in eden_runtime hal service prior to SMR Feb-2022 Release 1 allows arbitrary memory write and code execution.",
"id": "GSD-2022-23428"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "An improper boundary check in eden_runtime hal service prior to SMR Feb-2022 Release 1 allows arbitrary memory write and code execution.",
"id": "GSD-2022-23428",
"modified": "2023-12-13T01:19:35.252680Z",
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}
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"version": {
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"baseScore": 8.4,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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"value": "CWE-120:Buffer Copy without Checking Size of Input"
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"url": "https://security.samsungmobile.com/securityUpdate.smsb?year=2022\u0026month=2"
}
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},
"source": {
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}
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"impact": {
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"cvssV2": {
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"authentication": "NONE",
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"baseScore": 7.2,
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},
"lastModifiedDate": "2022-02-18T20:42Z",
"publishedDate": "2022-02-11T18:15Z"
}
}
}
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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.
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- 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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