CVE-2024-10476 (GCVE-0-2024-10476)

Vulnerability from cvelistv5 – Published: 2024-12-17 15:16 – Updated: 2024-12-17 15:35
VLAI
Summary
Default credentials are used in the above listed BD Diagnostic Solutions products. If exploited, threat actors may be able to access, modify or delete data, including sensitive information such as protected health information (PHI) and personally identifiable information (PII). Exploitation of this vulnerability may allow an attacker to shut down or otherwise impact the availability of the system. Note: BD Synapsys™ Informatics Solution is only in scope of this vulnerability when installed on a NUC server. BD Synapsys™ Informatics Solution installed on a customer-provided virtual machine or on the BD Kiestra™ SCU hardware is not in scope.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-17 15:35 UTC
CWE
Show details on NVD website

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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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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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