CVE-2023-49589 in AVideo
Summary
by MITRE • 01/10/2024
An insufficient entropy vulnerability exists in the userRecoverPass.php recoverPass generation functionality of WWBN AVideo dev master commit 15fed957fb. A specially crafted HTTP request can lead to an arbitrary user password recovery. An attacker can send an HTTP request to trigger this vulnerability.
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Analysis
by VulDB Data Team • 06/18/2025
The vulnerability identified as CVE-2023-49589 represents a critical security flaw in the WWBN AVideo platform's password recovery mechanism, specifically within the userRecoverPass.php component. This issue stems from insufficient entropy in the password recovery token generation process, creating a predictable and exploitable weakness that undermines the system's authentication security model. The vulnerability exists in the development master branch at commit 15fed957fb, indicating it affects the latest codebase and potentially impacts all deployments using this version.
The technical flaw manifests in the insufficient entropy of the recovery pass generation algorithm, which fails to produce sufficiently random tokens that could be effectively used for password recovery operations. This weakness allows attackers to predict or brute-force recovery tokens through statistical analysis or pattern recognition techniques, effectively bypassing the intended security controls. The vulnerability operates at the cryptographic level where proper entropy is essential for generating secure tokens that cannot be easily guessed or reproduced by unauthorized parties. According to CWE-338, this represents a weakness in random number generation, specifically where the entropy is insufficient to provide adequate security guarantees.
The operational impact of this vulnerability is severe as it enables arbitrary user password recovery without proper authorization. An attacker can craft specially crafted HTTP requests to trigger the vulnerable recovery functionality, potentially gaining unauthorized access to user accounts and compromising the entire user base. This creates a significant risk for data breaches, account takeovers, and potential lateral movement within the system. The attack vector is straightforward requiring only HTTP request manipulation, making it particularly dangerous as it can be exploited by attackers with minimal technical expertise. This vulnerability directly maps to ATT&CK technique T1566.002 for credential access through social engineering and potentially T1531 for account manipulation.
Mitigation strategies should focus on implementing proper entropy sources for token generation, including utilizing cryptographically secure random number generators and ensuring sufficient bit length for recovery tokens. The system should be updated to employ industry-standard cryptographic libraries that provide adequate randomness for security-sensitive operations. Organizations should immediately patch the vulnerable codebase and implement monitoring for suspicious recovery requests. Additionally, implementing rate limiting and account lockout mechanisms can help reduce the effectiveness of automated exploitation attempts. The fix should ensure that recovery tokens follow established security standards such as those defined in NIST SP 800-90A for random number generation and should incorporate proper entropy measurements to prevent predictable token generation patterns.