VAR-201503-0239

Vulnerability from variot - Updated: 2023-12-26 23:06

Siemens SIMATIC S7-300 CPU devices allow remote attackers to cause a denial of service (defect-mode transition) via crafted packets on (1) TCP port 102 or (2) Profibus. Siemens SIMATIC is an automation software in a single engineering environment. The Siemens SIMATIC S7-300 fails to correctly handle the messages sent by the user via Proibus to Port 102/TCP (ISO-TSAP), allowing the attacker to exploit the vulnerability to crash the application. Siemens SIMATIC S7-300 is prone to a denial-of-service vulnerability. Remote attackers may exploit this issue to cause denial-of-service conditions, denying service to legitimate users. Siemens SIMATIC S7-300 CPU is a modular general-purpose controller used in the manufacturing industry by Siemens of Germany. A security vulnerability exists in Siemens SIMATIC S7-300 CPU devices

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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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