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VAR-201704-0793

Vulnerability from variot - Updated: 2023-12-18 11:02

An issue was discovered in certain Apple products. macOS before 10.12.4 is affected. The issue involves the "IOFireWireAVC" component. It allows local users to gain privileges or cause a denial of service (memory corruption) via unspecified vectors. Apple macOS of IOFireWireAVC The component is authorized or service disruption ( Memory corruption ) There are vulnerabilities that are put into a state.An attacker gains authority or disrupts service operation ( Memory corruption ) There is a possibility of being put into a state. Apple macOS is prone to multiple security vulnerabilities. Attackers can exploit these issues to execute arbitrary code, obtain sensitive information, cause a denial-of-service condition, or bypass security restrictions and perform unauthorized actions. This may aid in further attacks. IOFireWireAVC is one of the IO video transmission components

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Taxonomy of the tags.


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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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