VAR-201612-0420

Vulnerability from variot - Updated: 2023-12-18 12:29

A vulnerability in SIEMENS SIMATIC WinCC (All versions < SIMATIC WinCC V7.2) and SIEMENS SIMATIC PCS 7 (All versions < SIMATIC PCS 7 V8.0 SP1) could allow a remote attacker to crash an ActiveX component or leak parts of the application memory if a user is tricked into clicking on a malicious link under certain conditions. Siemens SIMATIC WinCC and SIMATIC PCS 7 are industrial automation products from Siemens AG, Germany. Siemens SIMATIC WinCC is an automated data acquisition and monitoring (SCADA) system; SIMATIC PCS 7 is a distributed process control system using WinCC. A security bypass vulnerability exists in versions prior to SIMATIC WinCC 7.2 and in versions prior to SIMATIC PCS 7 8.0 SP1. An attacker could exploit this vulnerability to execute ActiveX components. Attackers can exploit this issue to obtain sensitive information or cause denial-of-service condition

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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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