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CVE-2017-0504 (GCVE-0-2017-0504)

Vulnerability from cvelistv5 – Published: 2017-03-08 01:00 – Updated: 2024-08-05 13:11
VLAI
Summary
An elevation of privilege vulnerability in MediaTek components, including the M4U driver, sound driver, touchscreen driver, GPU driver, and Command Queue driver, could enable a local malicious application to execute arbitrary code within the context of the kernel. This issue is rated as Critical due to the possibility of a local permanent device compromise, which may require reflashing the operating system to repair the device. Product: Android. Versions: N/A. Android ID: A-30074628. References: M-ALPS02829371.
CWE
  • Elevation of privilege
References
Impacted products
Vendor Product Version CPE status
Google Inc. Android Affected: n/a
guessed Create a notification for this product.
Date Public
2017-03-06 00:00
Show details on NVD website

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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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