GSD-2022-34763
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
A CWE-345: Insufficient Verification of Data Authenticity vulnerability exists that could cause loading of unauthorized firmware images due to improper verification of the firmware signature. Affected Products: X80 advanced RTU Communication Module (BMENOR2200H) (V2.01 and later), OPC UA Modicon Communication Module (BMENUA0100) (V1.10 and prior)
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-34763",
"description": "A CWE-345: Insufficient Verification of Data Authenticity vulnerability exists that could cause loading of unauthorized firmware images due to improper verification of the firmware signature. Affected Products: X80 advanced RTU Communication Module (BMENOR2200H) (V2.01 and later), OPC UA Modicon Communication Module (BMENUA0100) (V1.10 and prior)",
"id": "GSD-2022-34763"
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2022-34763",
"modified": "2023-12-13T01:19:18.827564Z",
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"baseScore": 5.9,
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"lastModifiedDate": "2022-07-27T23:45Z",
"publishedDate": "2022-07-13T21:15Z"
}
}
}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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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
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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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