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CVE-2019-9564 (GCVE-0-2019-9564)

Vulnerability from cvelistv5 – Published: 2022-03-30 20:00 – Updated: 2024-09-16 23:01
VLAI
Title
Authentication bypass in Wyze Cam Pan v2, Cam v2 and Cam v3
Summary
A vulnerability in the authentication logic of Wyze Cam Pan v2, Cam v2, Cam v3 allows an attacker to bypass login and control the devices. This issue affects: Wyze Cam Pan v2 versions prior to 4.49.1.47. Wyze Cam v2 versions prior to 4.9.8.1002. Wyze Cam v3 versions prior to 4.36.8.32.
CWE
  • authenti
References
Impacted products
Vendor Product Version CPE status
Wyze Cam Pan v2 Affected: unspecified , < 4.49.1.47 (custom)
guessed Create a notification for this product.
Wyze Cam v2 Affected: unspecified , < 4.9.8.1002 (custom)
guessed Create a notification for this product.
Wyze Cam v3 Affected: unspecified , < 4.36.8.32 (custom)
guessed Create a notification for this product.
Date Public
2022-03-29 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

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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.

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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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