VAR-202112-2476

Vulnerability from variot - Updated: 2024-02-02 22:39

A vulnerability has been identified in syngo fastView (All versions). The affected application lacks proper validation of user-supplied data when parsing DICOM files. This could result in an out-of-bounds write past the end of an allocated structure. An attacker could leverage this vulnerability to execute code in the context of the current process. (ZDI-CAN-15097). siemens-healthineers of syngo fastview Exists in an out-of-bounds write vulnerability.Information is obtained, information is tampered with, and service operation is interrupted. (DoS) It may be in a state. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.The specific flaw exists within the parsing of DCM files. Siemens Syngo FastView is a stand-alone viewer of Dicom 2 images available on a Dicom exchange medium from Siemens, Germany

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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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