CVE-2026-92581: Improper Input Validation in WWBN AVideo
In AVideo through 29.0, Like::__construct() performs counter arithmetic on raw request values before validation, allowing array-typed parameters to desynchronize stored votes from counters. Authenticated attackers can send array-typed like parameters followed by ordinary requests to drive video like counts arbitrarily negative, with the corruption persisting in the denormalized counter until manual repair.
AI Analysis
Technical Summary
In AVideo versions up to 29.0, the Like::__construct() method performs arithmetic operations on raw request parameters before validating them. This improper input validation allows authenticated users to submit array-typed 'like' parameters, which desynchronize the stored vote counts from the actual counters. By combining these crafted requests with normal requests, attackers can drive the like counts for videos to negative values. The corrupted counters remain in the system until a manual fix is applied.
Potential Impact
The vulnerability allows authenticated attackers to manipulate video like counts, causing them to become arbitrarily negative. This can lead to inaccurate representation of video popularity or engagement metrics. The corrupted counters persist until manually repaired, potentially affecting data integrity and user trust in the platform's metrics.
Mitigation Recommendations
No vendor advisory or patch information is provided. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict authenticated user input to validated scalar types for like parameters and consider manual auditing and repair of corrupted counters.
CVE-2026-92581: Improper Input Validation in WWBN AVideo
Description
In AVideo through 29.0, Like::__construct() performs counter arithmetic on raw request values before validation, allowing array-typed parameters to desynchronize stored votes from counters. Authenticated attackers can send array-typed like parameters followed by ordinary requests to drive video like counts arbitrarily negative, with the corruption persisting in the denormalized counter until manual repair.
CVSS v4.0
Score 5.3medium
Affected software
WWBN
AVideo
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
In AVideo versions up to 29.0, the Like::__construct() method performs arithmetic operations on raw request parameters before validating them. This improper input validation allows authenticated users to submit array-typed 'like' parameters, which desynchronize the stored vote counts from the actual counters. By combining these crafted requests with normal requests, attackers can drive the like counts for videos to negative values. The corrupted counters remain in the system until a manual fix is applied.
Potential Impact
The vulnerability allows authenticated attackers to manipulate video like counts, causing them to become arbitrarily negative. This can lead to inaccurate representation of video popularity or engagement metrics. The corrupted counters persist until manually repaired, potentially affecting data integrity and user trust in the platform's metrics.
Mitigation Recommendations
No vendor advisory or patch information is provided. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict authenticated user input to validated scalar types for like parameters and consider manual auditing and repair of corrupted counters.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-09-16T13:47:20.117Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aab120555bf5e2cf5368824
Added to database: 09/16/2026, 22:02:45 UTC
Last enriched: 09/16/2026, 23:12:55 UTC
Last updated: 09/17/2026, 02:02:32 UTC
Views: 3
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