VAR-201609-0050

Vulnerability from variot - Updated: 2025-04-13 23:31

The WiFi driver in Huawei Honor 6 smartphones with software H60-L01 before H60-L01C00B850, H60-L11 before H60-L11C00B850, H60-L21 before H60-L21C00B850, H60-L02 before H60-L02C00B850, H60-L12 before H60-L12C00B850, and H60-L03 before H60-L03C01B850 allows attackers to cause a denial of service (system crash) or gain privileges via a crafted application. Supplementary information : CWE Vulnerability type by CWE-284: Improper Access Control ( Inappropriate access control ) Has been identified. http://cwe.mitre.org/data/definitions/284.htmlDenial of service operations through a specially crafted application by an attacker ( System crash ) It may be put into a state or it may be authorized. HuaweiHonor6 is a smartphone product. Huawei Honor6 Smart Phone is prone to a local privilege-escalation vulnerability. An input validation vulnerability exists in the WiFi driver in Huawei Honor6. The following versions are affected: Huawei Honor6 before H60-L01C00B850, before H60-L11C00B850, before H60-L21C00B850, before H60-L02C00B850, before H60-L12C00B850, before H60-L03C01B850

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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

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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.
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  • 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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