GSD-2021-27388
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
SINAMICS medium voltage routable products are affected by a vulnerability in the Sm@rtServer component for remote access that could allow an unauthenticated attacker to cause a denial-of-service condition, and/or execution of limited configuration modifications and/or execution of limited control commands on the SINAMICS Medium Voltage Products, Remote Access (SINAMICS SL150: All versions, SINAMICS SM150: All versions, SINAMICS SM150i: All versions).
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-27388",
"description": "SINAMICS medium voltage routable products are affected by a vulnerability in the Sm@rtServer component for remote access that could allow an unauthenticated attacker to cause a denial-of-service condition, and/or execution of limited configuration modifications and/or execution of limited control commands on the SINAMICS Medium Voltage Products, Remote Access (SINAMICS SL150: All versions, SINAMICS SM150: All versions, SINAMICS SM150i: All versions).",
"id": "GSD-2021-27388"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"id": "GSD-2021-27388",
"modified": "2023-12-13T01:23:35.418239Z",
"schema_version": "1.4.0"
}
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}
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"name": "https://us-cert.cisa.gov/ics/advisories/icsa-21-131-04",
"refsource": "MISC",
"url": "https://us-cert.cisa.gov/ics/advisories/icsa-21-131-04"
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"authentication": "NONE",
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"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "HIGH",
"userInteractionRequired": false
},
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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}
},
"lastModifiedDate": "2021-06-23T20:57Z",
"publishedDate": "2021-06-15T20:15Z"
}
}
}
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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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