VAR-201610-0197

Vulnerability from variot - Updated: 2025-04-13 23:33

On Samsung Galaxy S4 through S7 devices, a malformed OTA WAP PUSH SMS containing an OMACP message sent remotely triggers an unhandled ArrayIndexOutOfBoundsException in Samsung's implementation of the WifiServiceImpl class within wifi-service.jar. This causes the Android runtime to continually crash, rendering the device unusable until a factory reset is performed, a subset of SVE-2016-6542. This vulnerability SVE-2016-6542 Is part of Supplementary information : CWE Vulnerability type by CWE-254: Security Features ( Security function ) Has been identified. SamsungGalaxyS4 and so on are all smart mobile devices released by South Korea's Samsung. A denial of service vulnerability exists in Samsung Galaxy S4 to S7 devices. Remote attackers can exploit this issue to cause a denial-of-service condition

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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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