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CVE-2025-23580: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Matthew BizLibrary

0
Unknown
VulnerabilityCVE-2025-23580cvecve-2025-23580
Published: Tue Jan 21 2025 (01/21/2025, 17:21:50 UTC)
Source: CVE Database V5
Vendor/Project: Matthew
Product: BizLibrary

Description

Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Matthew BizLibrary bizlibrary allows Reflected XSS.This issue affects BizLibrary: from n/a through <= 1.1.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 04/02/2026, 11:13:24 UTC

Technical Analysis

CVE-2025-23580 is a reflected Cross-site Scripting (XSS) vulnerability identified in the BizLibrary product developed by Matthew, affecting all versions up to and including 1.1. The root cause is improper neutralization of user-supplied input during the generation of web pages, which allows attackers to inject malicious JavaScript code that is reflected back to users. When a victim interacts with a crafted URL or input, the malicious script executes within their browser context, potentially enabling session hijacking, credential theft, unauthorized actions, or distribution of malware. This vulnerability does not require prior authentication, increasing its risk profile, but does require user interaction such as clicking a malicious link. No official patches or fixes have been published yet, and no known exploits have been observed in the wild. The absence of a CVSS score necessitates an assessment based on impact and exploitability factors. Reflected XSS vulnerabilities are common in web applications but remain critical due to their ability to compromise user trust and data confidentiality. BizLibrary is used in various organizational contexts, particularly in training and educational environments, which may increase the attack surface. The vulnerability underscores the importance of proper input validation, output encoding, and adopting secure coding practices to prevent injection flaws.

Potential Impact

The primary impact of this vulnerability is on the confidentiality and integrity of user data and sessions. Attackers exploiting this reflected XSS can execute arbitrary scripts in the context of the victim's browser, leading to session hijacking, theft of sensitive information such as cookies or credentials, and unauthorized actions performed on behalf of the user. This can result in data breaches, unauthorized access to protected resources, and potential spread of malware. The availability impact is generally low but could be indirectly affected if the attack leads to account lockouts or service disruptions. Organizations relying on BizLibrary for employee training or client-facing portals may suffer reputational damage and loss of user trust. Since exploitation requires user interaction but no authentication, the attack surface is broad, especially if phishing or social engineering tactics are employed. The lack of known exploits in the wild suggests limited immediate risk but does not diminish the potential severity if exploited.

Mitigation Recommendations

To mitigate this vulnerability, organizations should first monitor for any official patches or updates from Matthew for BizLibrary and apply them promptly once available. In the absence of patches, implement robust input validation on all user-supplied data to ensure that potentially malicious characters are sanitized or rejected before processing. Employ context-appropriate output encoding (e.g., HTML entity encoding) when reflecting user input in web pages to prevent script execution. Utilize Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of XSS attacks. Conduct thorough code reviews focusing on input handling and output generation to identify and remediate similar vulnerabilities. Educate users about the risks of clicking unknown or suspicious links to reduce the likelihood of successful exploitation. Additionally, implement web application firewalls (WAFs) with rules designed to detect and block reflected XSS payloads targeting BizLibrary endpoints. Regular security testing, including automated scanning and manual penetration testing, should be integrated into the development lifecycle to catch such issues early.

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Technical Details

Data Version
5.2
Assigner Short Name
Patchstack
Date Reserved
2025-01-16T11:26:29.091Z
Cvss Version
null
State
PUBLISHED

Threat ID: 69cd763ae6bfc5ba1df0a991

Added to database: 4/1/2026, 7:47:06 PM

Last enriched: 4/2/2026, 11:13:24 AM

Last updated: 4/8/2026, 9:00:41 AM

Views: 4

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