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CVE-2026-83595 (GCVE-0-2026-83595)

Vulnerability from cvelistv5 – Published: 2026-09-01 11:33 – Updated: 2026-09-01 14:56
VLAI
Title
AVideo Cross-Site Request Forgery via plugin/API/set.json.php
Summary
AVideo contains a cross-site request forgery vulnerability in plugin/API/set.json.php that allows attackers to perform state-changing actions by crafting GET requests that bypass CSRF protection. Attackers can navigate a victim's browser to a malicious URL with API parameters to delete videos, deactivate accounts, or modify playlists without user interaction.
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-01 14:18 UTC
CWE
  • CWE-352 - Cross-Site Request Forgery (CSRF)
References
Impacted products
Vendor Product Version CPE status
WWBN AVideo Affected: 0 , ≤ 29.0 (custom)
    cpe:2.3:a:wwbn:avideo:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-08-17 00:00
Credits
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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