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CVE-2026-16645 (GCVE-0-2026-16645)

Vulnerability from cvelistv5 – Published: 2026-08-25 22:21 – Updated: 2026-08-26 18:41
VLAI
Title
PhotoSwipe - Responsive JavaScript Modal Image Gallery - Moderately critical - Access bypass - SA-CONTRIB-2026-088
Summary
Missing Authorization vulnerability in Drupal PhotoSwipe - Responsive JavaScript Modal Image Gallery allows Forceful Browsing. This issue affects PhotoSwipe - Responsive JavaScript Modal Image Gallery versions: from 0.0.0 to 3.2.0.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-26 18:41 UTC
CWE
References
Impacted products
Vendor Product Version CPE status
Drupal PhotoSwipe - Responsive JavaScript Modal Image Gallery Affected: 0.0.0 , < 3.2.0 (semver)
guessed Create a notification for this product.
Date Public
2026-07-22 18:01
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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