CVE-2017-5691 (GCVE-0-2017-5691)

Vulnerability from cvelistv5 – Published: 2017-07-26 15:00 – Updated: 2024-09-16 17:58
VLAI
Summary
Incorrect check in Intel processors from 6th and 7th Generation Intel Core Processor Families, Intel Xeon E3-1500M v5 and v6 Product Families, and Intel Xeon E3-1200 v5 and v6 Product Families allows compromised system firmware to impact SGX security via incorrect early system state.
CWE
  • Elevation of Privilege
Impacted products
Vendor Product Version CPE status
Intel Corporation 6th and 7th Generation Intel Core Processor Families, Intel Xeon E3-1500M v5 and v6 Processor Families, and Intel Xeon E3-1200 v5 and v6 Product Families. Affected: 6th and 7th Generation Intel Core Processor Families, Intel Xeon E3-1500M v5 and v6 Processor Families, and Intel Xeon E3-1200 v5 and v6 Product Families.
guessed Create a notification for this product.
Date Public
2017-07-25 00:00
Show details on NVD website

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}



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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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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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