FKIE_CVE-2022-28637
Vulnerability from fkie_nvd - Published: 2022-09-20 21:15 - Updated: 2026-06-17 04:38
Severity
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/
Summary
A local Denial of Service (DoS) and local arbitrary code execution vulnerability that could potentially lead to a loss of confidentiality, integrity, and availability were discovered in HPE Integrated Lights-Out 5 (iLO 5) in Version: 2.71. Hewlett Packard Enterprise has provided updated firmware for HPE Integrated Lights-Out 5 (iLO 5) that addresses these security vulnerabilities.
References
Impacted products
{
"affected": [
{
"affectedData": [
{
"product": "HPE Integrated Lights-Out 5 (iLO 5)",
"vendor": "n/a",
"versions": [
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"version": "Prior to 2.72"
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{
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"version": "unspecified"
}
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}
],
"source": "security-alert@hpe.com"
}
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A local Denial of Service (DoS) and local arbitrary code execution vulnerability that could potentially lead to a loss of confidentiality, integrity, and availability were discovered in HPE Integrated Lights-Out 5 (iLO 5) in Version: 2.71. Hewlett Packard Enterprise has provided updated firmware for HPE Integrated Lights-Out 5 (iLO 5) that addresses these security vulnerabilities."
},
{
"lang": "es",
"value": "Se ha detectado una vulnerabilidad de denegaci\u00f3n de servicio (DoS) local y de ejecuci\u00f3n de c\u00f3digo arbitrario local que podr\u00eda conllevar a una p\u00e9rdida de confidencialidad, integridad y disponibilidad en HPE Integrated Lights-Out 5 (iLO 5) en versi\u00f3n: 2.71. Hewlett Packard Enterprise ha proporcionado un firmware actualizado para HPE Integrated Lights-Out 5 (iLO 5) que aborda estas vulnerabilidades de seguridad"
}
],
"id": "CVE-2022-28637",
"lastModified": "2026-06-17T04:38:45.263",
"metrics": {
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"attackVector": "LOCAL",
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"baseScore": 7.8,
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
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"source": "nvd@nist.gov",
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"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-28637",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-05-27T18:15:16.143932Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-09-20T21:15:10.377",
"references": [
{
"source": "security-alert@hpe.com",
"tags": [
"Vendor Advisory"
],
"url": "https://support.hpe.com/hpsc/doc/public/display?docLocale=en_US\u0026docId=emr_na-hpesbhf04365en_us"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://support.hpe.com/hpsc/doc/public/display?docLocale=en_US\u0026docId=emr_na-hpesbhf04365en_us"
}
],
"sourceIdentifier": "security-alert@hpe.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"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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