CVE-2024-57716 in AutoQueryable
Summary
by MITRE • 02/20/2025
An issue in trenoncourt AutoQueryable v.1.7.0 allows a remote attacker to obtain sensitive information via the Unselectable function.
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Analysis
by VulDB Data Team • 06/01/2025
The vulnerability identified as CVE-2024-57716 affects trenoncourt AutoQueryable version 1.7.0 and represents a sensitive data exposure flaw within the Unselectable function implementation. This issue enables remote attackers to access confidential information through a poorly designed data filtering mechanism that fails to properly validate or restrict access to sensitive query parameters. The vulnerability stems from inadequate input sanitization and access control enforcement within the application's data retrieval functions, creating an avenue for unauthorized data disclosure.
The technical flaw manifests in the Unselectable function's handling of user-supplied parameters that control data filtering operations. When attackers exploit this vulnerability, they can manipulate query structures to bypass normal access controls and retrieve data that should remain restricted. This represents a classic case of insufficient authorization checks and improper input validation, where the application fails to properly verify that the requesting entity has appropriate permissions to access the requested data segments. The vulnerability operates at the application layer and can be exploited remotely without requiring authentication, making it particularly dangerous in environments where the affected system is exposed to untrusted networks.
From an operational impact perspective, this vulnerability creates significant risk for organizations using trenoncourt AutoQueryable v.1.7.0, as it allows attackers to extract sensitive information that may include personal data, business-critical records, or system configuration details. The remote exploit capability means that threat actors can target the vulnerability from anywhere on the internet, potentially leading to data breaches, compliance violations, and reputational damage. The vulnerability aligns with CWE-200 (Information Exposure) and CWE-284 (Improper Access Control) categories, reflecting both the exposure of sensitive data and the inadequate access control mechanisms that enable such exposure. Organizations may face regulatory penalties under data protection frameworks like gdpr or ccpa if sensitive information is compromised through this vulnerability.
Mitigation strategies should focus on immediate patching of the affected software version to address the Unselectable function implementation flaws. Organizations should also implement additional access controls and input validation measures to prevent similar vulnerabilities in other application components. Network segmentation and monitoring should be enhanced to detect unusual query patterns that might indicate exploitation attempts. The vulnerability demonstrates the importance of proper authorization checking and input validation in data access functions, aligning with ATT&CK technique T1213.002 (Data from Information Repositories) and emphasizing the need for comprehensive security testing of data filtering and retrieval mechanisms. Regular security assessments and code reviews focusing on access control implementations are essential to prevent similar issues in other software components.