VAR-201807-0331

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

In Universal Robots Robot Controllers Version CB 3.1, SW Version 3.4.5-100, ports 30001/TCP to 30003/TCP listen for arbitrary URScript code and execute the code. This enables a remote attacker who has access to the ports to remotely execute code that may allow root access to be obtained. Universal Robots Robot Controllers Is vulnerable to a lack of authentication for critical functions.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. UniversalRobotsRobotControllers is a collaborative robot controller product from Denmark's Universal Robots. A security vulnerability exists in UniversalRobotsRobotControllersCB3.1 and SW3.4.5-100, which stems from the TCP3001 to 3003 ports for listening and executing arbitrary URScript code. This may aid in further 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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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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