CVE-2025-13132 (GCVE-0-2025-13132)

Vulnerability from cvelistv5 – Published: 2025-11-21 17:55 – Updated: 2025-11-21 18:08
VLAI
Title
Dia: Increased Spoof Risk; Missing full screen toast
Summary
This vulnerability allowed a site to enter fullscreen, after a user click, without a full-screen notification (toast) appearing. Without this notification, users could potentially be misled about what site they were on if a malicious site renders a fake UI (like a fake address bar.)
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-21 18:08 UTC
CWE
  • CWE-1021 - Improper Restriction of Rendered UI Layers or Frames
Impacted products
Vendor Product Version CPE status
The Browser Company of New York Dia Affected: 0 , < 1.6.0 (semver)
guessed Create a notification for this product.
Date Public
2025-11-21 16:39
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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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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