VAR-201506-0180

Vulnerability from variot - Updated: 2025-04-13 23:32

Directory traversal vulnerability in the SwiftKey language-pack update implementation on Samsung Galaxy S4, S4 Mini, S5, and S6 devices allows remote web servers to write to arbitrary files, and consequently execute arbitrary code in a privileged context, by leveraging control of the skslm.swiftkey.net domain name and providing a .. (dot dot) in an entry in a ZIP archive, as demonstrated by a traversal to the /data/dalvik-cache directory. Samsung Galaxy S4 and so on are all smart mobile devices released by South Korea's Samsung. A directory traversal vulnerability exists in the implementation of the SwiftKey language-pack upgrade for several Samsung Galaxy devices. SwiftKey is prone to a directory-traversal vulnerability. This may aid in further attacks

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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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