GHSA-48WG-V88Q-C99M
Vulnerability from github – Published: 2022-09-21 00:00 – Updated: 2022-09-27 00:00
VLAI
Details
An attacker with physical access can exploit this vulnerability to execute arbitrary code during DXE phase. A malicious code installed as a result of vulnerability exploitation in DXE driver could survive across an operating system (OS) boot process and runtime This issue affects: Module name: AMITSE SHA256: 288769fcb374d9280735e259c579e2dc209491f4da43b085d6aabc2d6e6ee57d Module GUID: b1da0adf-4f77-4070-a88e-bffe1c60529a This issue affects: AMI Aptio 5.x.
Severity
7.2 (High)
{
"affected": [],
"aliases": [
"CVE-2022-2154"
],
"database_specific": {
"cwe_ids": [
"CWE-787"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-09-20T18:15:00Z",
"severity": "HIGH"
},
"details": "An attacker with physical access can exploit this vulnerability to execute arbitrary code during DXE phase. A malicious code installed as a result of vulnerability exploitation in DXE driver could survive across an operating system (OS) boot process and runtime This issue affects: Module name: AMITSE SHA256: 288769fcb374d9280735e259c579e2dc209491f4da43b085d6aabc2d6e6ee57d Module GUID: b1da0adf-4f77-4070-a88e-bffe1c60529a This issue affects: AMI Aptio 5.x.",
"id": "GHSA-48wg-v88q-c99m",
"modified": "2022-09-27T00:00:21Z",
"published": "2022-09-21T00:00:38Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-2154"
},
{
"type": "WEB",
"url": "https://www.ami.com/security-center"
},
{
"type": "WEB",
"url": "https://www.binarly.io/advisories/BRLY-2022-015"
},
{
"type": "WEB",
"url": "https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-00712.html"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:P/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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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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