CVE-2026-89251 in AVideo
Summary
by MITRE • 09/11/2026
AVideo through commit c3edcc274c389816d434acadac07ee78eaf330c1 fails to validate ad impressions in plugin/AD_Server/log.php, allowing logged-in users to submit arbitrary label values that trigger unverified wallet credits to campaign video owners. Attackers can repeatedly POST label=start requests to mint YPTWallet balance for any campaign video without proof an ad actually played.
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Analysis
by VulDB Data Team • 09/11/2026
The vulnerability identified in AVideo stems from a critical lack of input validation and business logic enforcement within the AD_Server/log.php component, specifically affecting how advertising impressions are recorded and processed. This flaw allows authenticated users to manipulate the system by submitting arbitrary label values that trigger unverified wallet credits for campaign video owners. The core issue lies in the application's failure to verify whether an advertisement was actually played before awarding financial incentives or platform currency, such as YPTWallet balance, to content creators. By exploiting this gap, attackers can artificially inflate their balances without providing any legitimate proof of ad engagement, thereby undermining the integrity of the advertising ecosystem and the economic model underpinning the platform.
From a technical perspective, the vulnerability is rooted in insufficient validation of user-supplied data during the impression logging process. When a POST request containing label=start parameters is sent to the log.php endpoint, the application accepts these inputs without cross-referencing them against actual playback events or server-side logs that confirm ad delivery. This absence of verification enables repeated submission of fake impressions, effectively allowing malicious actors to mint currency at will. The lack of rate limiting or anomaly detection further exacerbates the issue, as there are no mechanisms in place to detect and block repetitive requests from a single source attempting to exploit this logic flaw for financial gain.
The operational impact of this vulnerability is significant, particularly regarding both financial integrity and platform trust. Video owners may receive unwarranted credits based on fabricated impressions, distorting revenue metrics and potentially leading to fraudulent payouts if the system processes these invalid transactions. For the platform itself, such exploitation can lead to substantial financial losses as attackers drain resources by generating fake ad views. Furthermore, this type of manipulation erodes confidence among legitimate advertisers who rely on accurate analytics for campaign performance evaluation. If left unaddressed, it could also facilitate broader abuse scenarios where compromised accounts are used to systematically farm currency or disrupt the fairness of competitive features tied to wallet balances.
This vulnerability aligns with CWE-20 Improper Input Validation and CWE-863 Incorrect Authorization, as the application fails to properly validate inputs while allowing authenticated users to perform actions that should require stricter verification of actual service usage. In terms of attack patterns, it corresponds to MITRE ATT&CK technique T1496 Remote Resource Hijacking or more specifically aspects related to exploitation for economic gain through manipulation of system logic rather than direct code execution. The scenario reflects common weaknesses found in web applications where business rules governing financial transactions are not rigorously enforced at the API level.
Mitigation strategies must focus on implementing robust server-side validation and ensuring that all financial incentives are tied directly to verifiable events. Developers should enforce strict checks confirming that an ad impression corresponds to a genuine playback event before crediting any wallet balance. Implementing rate limiting policies will help prevent automated scripts from flooding the endpoint with repeated requests. Additionally, introducing CAPTCHA challenges or token-based verification for sensitive operations can add layers of security against abuse. Regular audits of business logic and integration of automated testing frameworks that simulate such exploitation attempts are essential to maintain long-term resilience against similar vulnerabilities in digital advertising platforms.