CVE-2023-0995 in bumsys
Summary
by MITRE • 02/24/2023
Cross-site Scripting (XSS) - Stored in GitHub repository unilogies/bumsys prior to v2.0.1.
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Analysis
by VulDB Data Team • 07/12/2025
The vulnerability identified as CVE-2023-0995 represents a stored cross-site scripting flaw within the GitHub repository unilogies/bumsys prior to version 2.0.1. This type of vulnerability falls under the broader category of insecure input handling and allows attackers to inject malicious scripts into web applications that are then executed by other users. The stored nature of this XSS vulnerability means that malicious code is permanently saved on the server and executed whenever affected users access the compromised application interface. The vulnerability stems from inadequate sanitization of user input within the application's data processing pipeline, creating an entry point for malicious actors to persist their payloads within the system's database or storage mechanisms.
The technical implementation of this vulnerability demonstrates a failure in proper output encoding and input validation practices within the application's backend processing components. When user-provided data is accepted through forms, API endpoints, or other input mechanisms and subsequently stored without adequate sanitization, it creates a persistent threat vector. The flaw likely occurs in areas where user-generated content is processed and rendered back to other users, such as comments sections, user profiles, or administrative interfaces. This vulnerability directly maps to CWE-79 which specifically addresses cross-site scripting flaws and aligns with ATT&CK technique T1566.001 for initial access through malicious web content. The attack surface is particularly concerning as it allows for long-term persistence of malicious scripts that can capture user sessions, redirect traffic, or perform unauthorized actions on behalf of victims.
The operational impact of this vulnerability extends beyond simple data theft or display manipulation, as it can enable sophisticated attack chains including session hijacking, credential theft, and privilege escalation. An attacker who successfully exploits this stored XSS vulnerability could potentially execute malicious scripts that steal authentication tokens, redirect users to phishing sites, or modify application behavior. The persistence aspect of stored XSS makes this vulnerability particularly dangerous for applications handling sensitive user information or administrative functions. Attackers can craft payloads that remain active for extended periods, potentially affecting multiple users over time. The vulnerability affects the application's integrity and confidentiality properties, potentially compromising user trust and system security posture. Organizations relying on this software without proper updates face significant risk of unauthorized access and data compromise, especially in environments where user interaction is frequent.
Mitigation strategies for CVE-2023-0995 must focus on immediate remediation through patching to version 2.0.1 or later, which should include comprehensive input validation, output encoding, and proper sanitization of all user-provided data. Implementing Content Security Policy headers can provide additional defense-in-depth measures to prevent script execution from unauthorized sources. Regular security scanning of web applications should be conducted to identify similar vulnerabilities in input handling mechanisms. The implementation of proper input validation frameworks and regular code reviews focused on data sanitization practices will help prevent similar issues in future development cycles. Organizations should also consider deploying web application firewalls and monitoring systems to detect suspicious script injection attempts. Security awareness training for developers on secure coding practices and the importance of input validation will help reduce the likelihood of introducing such vulnerabilities in future releases. The remediation process should include thorough testing of all user input mechanisms to ensure that proper sanitization occurs before data is stored or rendered back to users.