Vulnerability-Lookup

GSD-2023-26942

Vulnerability from gsd - Updated: 2023-12-13 01:20

Details

Weak encryption mechanisms in RFID Tags in Yale IA-210 Alarm v1.0 allows attackers to create a cloned tag via physical proximity to the original.

Aliases

CVE-2023-26942

Aliases

CVE-2023-26942

JSON

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{
  "GSD": {
    "alias": "CVE-2023-26942",
    "id": "GSD-2023-26942"
  },
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      "exploitCode": "unknown",
      "remediation": "unknown",
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      "id": "GSD-2023-26942",
      "modified": "2023-12-13T01:20:53.854928Z",
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          {
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          }
        ],
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                "confidentialityImpact": "NONE",
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}

CVE-2023-26942 (GCVE-0-2023-26942)

Vulnerability from cvelistv5 – Published: 2023-12-04 00:00 – Updated: 2024-08-02 12:01

Summary

Weak encryption mechanisms in RFID Tags in Yale IA-210 Alarm v1.0 allows attackers to create a cloned tag via physical proximity to the original.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://www.researchgate.net/publication/37575940…
https://arxiv.org/abs/2312.00021

Show details on NVD website

JSON

To clipboard

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            "url": "https://www.researchgate.net/publication/375759408_Technical_Report_-_CVE-2022-46480_CVE-2023-26941_CVE-2023-26942_and_CVE-2023-26943#fullTextFileContent"
          },
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        },
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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.

Detection rules are retrieved from Rulezet.

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.

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.