CVE-2023-51527 in AI Power Plugin
Summary
by MITRE • 12/29/2023
Exposure of Sensitive Information to an Unauthorized Actor vulnerability in Senol Sahin AI Power: Complete AI Pack – Powered by GPT-4.This issue affects AI Power: Complete AI Pack – Powered by GPT-4: from n/a through 1.8.2.
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Analysis
by VulDB Data Team • 01/21/2024
The vulnerability identified as CVE-2023-51527 represents a critical exposure of sensitive information to unauthorized actors within the Senol Sahin AI Power: Complete AI Pack – Powered by GPT-4 software ecosystem. This security flaw manifests as an information disclosure vulnerability that allows malicious entities to access confidential data that should remain protected from unauthorized access. The affected software version range spans from the initial release through version 1.8.2, indicating a prolonged period during which this vulnerability remained unaddressed. The vulnerability falls under the broader category of information exposure issues that are commonly classified as CWE-200 in the Common Weakness Enumeration framework, which specifically addresses the exposure of sensitive information to unauthorized actors. This weakness represents a fundamental breakdown in the software's access control mechanisms and data protection protocols.
The technical implementation of this vulnerability likely stems from inadequate input validation and insufficient access controls within the AI power pack's data handling processes. When the software processes user requests or interacts with backend systems, it appears to fail to properly verify user authorization levels before exposing sensitive data elements. The vulnerability may be present in how the system handles API calls, database queries, or file access operations that could inadvertently reveal internal system information, user data, or configuration details to unauthorized parties. This type of flaw often occurs when developers assume that certain data access controls are sufficient without implementing proper authentication and authorization checks for all data retrieval operations.
The operational impact of this vulnerability extends beyond simple data exposure to encompass potential business and regulatory consequences. Organizations utilizing this AI power pack may face unauthorized access to sensitive user information, proprietary data, or system configurations that could be exploited for further attacks. The exposure of sensitive information could lead to compliance violations under data protection regulations such as gdpr, hipaa, or other applicable privacy frameworks, resulting in significant financial penalties and reputational damage. Attackers could leverage this vulnerability to gain insights into the underlying system architecture, user behavior patterns, or internal processes that would normally remain confidential. The impact is particularly severe given that this vulnerability affects a complete AI pack solution that likely processes and stores substantial amounts of user-generated content and personal data.
Mitigation strategies for CVE-2023-51527 should focus on implementing comprehensive access control measures and data protection protocols throughout the software stack. Organizations should immediately upgrade to the latest available version of the AI Power: Complete AI Pack – Powered by GPT-4 software to receive the patched implementation that addresses this vulnerability. The remediation process should include thorough code reviews to identify and eliminate improper data exposure patterns, implementation of proper authentication and authorization checks for all data access operations, and deployment of robust input validation mechanisms. Security teams should also implement network segmentation and monitoring solutions to detect and prevent unauthorized access attempts. From an att&ck framework perspective, this vulnerability aligns with techniques related to credential access and reconnaissance activities, making it particularly dangerous as it enables attackers to gather intelligence for more sophisticated attacks. Organizations should conduct comprehensive security assessments to identify any potential exploitation of this vulnerability and implement continuous monitoring to detect anomalous access patterns that could indicate unauthorized data access attempts.