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VAR-202006-1819

Vulnerability from variot - Updated: 2023-12-18 13:28

BIOTRONIK CardioMessenger II, The affected products use individual per-device credentials that are stored in a recoverable format. An attacker with physical access to the CardioMessenger can use these credentials for network authentication and decryption of local data in transit. BIOTRONIK CardioMessenger II Contains a vulnerability related to the password management function.Information may be obtained. Biotronik CardioMessenger II-S is a portable medical monitoring device of German Biotronik company, which is mainly used to monitor implantable devices such as cardiac pacemakers. Biotronik CardioMessenger II-S T-Line T4APP version 2.20 and II-S GSM T4APP version 2.20 have security vulnerabilities that originate from the program's ability to recover the credentials of each device stored in a format

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Taxonomy of the tags.


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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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Detection rules are retrieved from Rulezet.

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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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