CVE-2026-34247 (GCVE-0-2026-34247)

Vulnerability from cvelistv5 – Published: 2026-03-27 16:39 – Updated: 2026-03-27 17:29
VLAI
Title
AVideo's IDOR in uploadPoster.php Allows Any Authenticated User to Overwrite Scheduled Live Stream Posters and Trigger False Socket Notifications
Summary
WWBN AVideo is an open source video platform. In versions up to and including 26.0, the `plugin/Live/uploadPoster.php` endpoint allows any authenticated user to overwrite the poster image for any scheduled live stream by supplying an arbitrary `live_schedule_id`. The endpoint only checks `User::isLogged()` but never verifies that the authenticated user owns the targeted schedule. After overwriting the poster, the endpoint broadcasts a `socketLiveOFFCallback` notification containing the victim's broadcast key and user ID to all connected WebSocket clients. Commit 5fcb3bdf59f26d65e203cfbc8a685356ba300b60 fixes the issue.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-03-27 17:29 UTC
CWE
Assigner
GitHub_M CNA under the mitre root
CNA scorecard C 72/100 over 7581 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
WWBN AVideo Affected: <= 26.0
guessed Create a notification for this product.
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.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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