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VAR-201703-0642

Vulnerability from variot - Updated: 2023-12-18 13:08

Siemens SINUMERIK Integrate Operate Clients between 2.0.3.00.016 (including) and 2.0.6 (excluding) and between 3.0.4.00.032 (including) and 3.0.6 (excluding) contain a vulnerability that could allow an attacker to read and manipulate data in TLS sessions while performing a man-in-the-middle (MITM) attack. Siemens SINUMERIK Integrate Operate Clients is a standard human interface system client for SINUMERIK digital control from Siemens AG. There is a middleman security bypass vulnerability in Siemens SINUMERIK Integrate Operate Clients. Multiple Siemens Products are prone to a security-bypass vulnerability. Successfully exploiting this issue may allow attackers to bypass certain security restrictions and perform unauthorized actions by conducting a man-in-the-middle attack. This may lead to other attacks

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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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