GSD-2023-40544
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
An attacker with access to the network where the affected devices are located could maliciously actions to obtain, via a sniffer, sensitive information exchanged via TCP communications.
Aliases
Aliases
{
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"id": "GSD-2023-40544"
},
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"modified": "2023-12-13T01:20:44.184185Z",
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"cweId": "CWE-319",
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"name": "https://www.cisa.gov/news-events/ics-advisories/icsa-24-023-04",
"refsource": "MISC",
"url": "https://www.cisa.gov/news-events/ics-advisories/icsa-24-023-04"
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{
"lang": "es",
"value": "Un atacante con acceso a la red donde se encuentran los dispositivos afectados podr\u00eda realizar acciones maliciosas para obtener, a trav\u00e9s de un sniffer, informaci\u00f3n sensible intercambiada mediante comunicaciones TCP."
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"id": "CVE-2023-40544",
"lastModified": "2024-02-12T16:43:42.320",
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Sightings
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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
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.