CVE-2021-45477 in Library Automation System
Summary
by MITRE • 03/02/2023
Improper Handling of Parameters vulnerability in Bordam Information Technologies Library Automation System allows Collect Data as Provided by Users.
This issue affects Library Automation System: before 19.2.
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Analysis
by VulDB Data Team • 05/18/2026
The CVE-2021-45477 vulnerability represents a critical improper handling of parameters flaw within the Bordam Information Technologies Library Automation System, specifically impacting versions prior to 19.2. This vulnerability falls under the broader category of parameter handling weaknesses that can lead to unauthorized data collection and potential system compromise. The issue manifests when the system fails to properly validate or sanitize user-provided parameters, creating an avenue for malicious actors to manipulate input data and potentially extract sensitive information from the automated library system. Such vulnerabilities are particularly concerning in library automation environments where systems handle vast amounts of patron data, catalog information, and administrative records that require strict security controls.
The technical flaw stems from inadequate input validation mechanisms within the library automation system's parameter processing functions. When users provide data through various interfaces or API endpoints, the system does not sufficiently verify the integrity, format, or content of these parameters before processing them. This weakness creates opportunities for parameter pollution, injection attacks, or data exfiltration scenarios where attackers can craft malicious inputs that bypass normal validation checks. The vulnerability is categorized under CWE-20, which specifically addresses improper input validation, and aligns with ATT&CK technique T1213.002 for Data from Information Repositories, as it enables unauthorized access to stored data within the system. The lack of proper parameter sanitization means that user-supplied data can be interpreted in unintended ways, potentially leading to cascading security issues throughout the automated library infrastructure.
The operational impact of this vulnerability extends beyond simple data collection, as it can potentially enable more sophisticated attacks within the library automation environment. Attackers exploiting this weakness might gain access to patron records, borrowing histories, catalog data, or administrative functions that should remain protected. The vulnerability's presence in systems before version 19.2 suggests a prolonged exposure period where organizations may have been unknowingly vulnerable to data harvesting attacks. This flaw particularly affects library systems that rely heavily on automated data processing and user interaction, where the volume and sensitivity of collected data make such vulnerabilities especially dangerous. The issue can result in privacy violations, compliance breaches, and potential financial losses due to data exposure, particularly in environments that must adhere to strict data protection regulations such as GDPR or library-specific privacy standards.
Organizations should immediately implement mitigations including updating to version 19.2 or later of the Bordam Information Technologies Library Automation System to address the root cause of the vulnerability. Additionally, implementing robust input validation frameworks, parameter sanitization procedures, and comprehensive monitoring of user data inputs can help detect and prevent exploitation attempts. Network segmentation and access controls should be strengthened around the library automation system to limit potential attack vectors. Security teams should also conduct thorough audits of all user interfaces and API endpoints within the system to identify additional parameter handling weaknesses. Regular vulnerability assessments and penetration testing focused on input validation mechanisms will help ensure that similar issues do not persist in other components of the library automation infrastructure. The remediation process should include comprehensive testing to verify that parameter handling has been properly secured and that legitimate user functionality remains intact while addressing the identified vulnerability.