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VAR-201710-0652

Vulnerability from variot - Updated: 2023-12-18 12:51

The Cisco AMP For Endpoints application allows an authenticated, local attacker to access a static key value stored in the local application software. The vulnerability is due to the use of a static key value stored in the application used to encrypt the connector protection password. An attacker could exploit this vulnerability by gaining local, administrative access to a Windows host and stopping the Cisco AMP for Endpoints service. Cisco Bug IDs: CSCvg42904. Vendors have confirmed this vulnerability Bug ID CSCvg42904 It is released as.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Local attackers may exploit this issue to gain elevated privileges. The program analyzes malware behavior and intent, the impact of threats, defense methods, and more

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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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