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CVE-2016-9077 (GCVE-0-2016-9077)

Vulnerability from cvelistv5 – Published: 2018-06-11 21:00 – Updated: 2024-08-06 02:42
VLAI
Summary
Canvas allows the use of the "feDisplacementMap" filter on images loaded cross-origin. The rendering by the filter is variable depending on the input pixel, allowing for timing attacks when the images are loaded from third party locations. This vulnerability affects Firefox < 50.
Severity
7.0 (High)
CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • Canvas filters allow feDisplacementMaps to be applied to cross-origin images, allowing timing attacks on them
Assigner
References
Impacted products
Vendor Product Version CPE status
Mozilla Firefox Affected: unspecified , < 50 (custom)
guessed Create a notification for this product.
Date Public
2016-11-15 00:00
Show details on NVD website
To clipboard 

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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.
  • 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.


Detection rules are retrieved from Rulezet.


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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.