CVE-2026-77818 in Library Information and Document Automation Program
Summary
by MITRE • 09/04/2026
Improper neutralization of input during web page generation ('cross-site scripting') vulnerability in Yordam Information Technology Consulting, Training and Electronic Systems Industry and Trade Inc. Library Information and Document Automation Program allows Content Spoofing.
This issue affects Library Information and Document Automation Program: from v22.1 before v22.2.
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Analysis
by VulDB Data Team • 09/04/2026
The identified vulnerability represents a critical security flaw within the Library Information and Document Automation Program developed by Yordam Information Technology Consulting, Training and Electronic Systems Industry and Trade Inc., specifically affecting versions ranging from 22.1 up to but not including version 22.2. This issue is classified as an improper neutralization of input during web page generation, commonly known in the industry as Cross-Site Scripting or XSS. The core technical failure lies in the application's inability to properly sanitize or validate user-supplied data before incorporating it into dynamically generated HTML content. When a system fails to distinguish between executable code and passive data, an attacker can inject malicious scripts that are subsequently executed by the victim's web browser under the context of the vulnerable website.
The specific impact described as Content Spoofing indicates that this vulnerability allows attackers to manipulate the visual presentation or textual content displayed to users without necessarily executing arbitrary JavaScript in all scenarios, although XSS vulnerabilities often serve as a vector for such spoofing attacks. By injecting crafted input fields, an attacker can alter the appearance of legitimate pages, potentially mimicking trusted interfaces or displaying misleading information. This manipulation undermines user trust and can facilitate social engineering attacks where victims are tricked into performing actions they would not otherwise take because they believe they are interacting with a genuine part of the application. The ability to spoof content effectively compromises the integrity of the document automation system, which is critical for maintaining accurate records in library environments.
From an industry standard perspective, this vulnerability aligns directly with CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'). This classification highlights the failure to apply appropriate encoding or validation mechanisms against special characters that have meaning within HTML contexts. Furthermore, from a tactical standpoint as defined by the MITRE ATT&CK framework, this vulnerability supports techniques associated with Client-Side Injection and potentially Phishing via Content Spoofing (T1566). Attackers leverage these weaknesses to establish initial access or maintain persistence through deceptive user interfaces that appear legitimate but are controlled remotely. The lack of input validation serves as the primary entry point for exploiting this weakness, allowing malicious payloads to bypass standard security controls designed to filter out harmful scripts.
The operational impact on organizations utilizing versions prior to 22.2 is significant due to the nature of library and document automation systems which often handle sensitive patron data or proprietary institutional records. If an attacker successfully exploits this XSS vulnerability, they may not only spoof content but also potentially steal session cookies, capture keystrokes, or redirect users to malicious sites depending on how the injected script interacts with other application components. This compromises confidentiality and integrity, two pillars of information security. In a library context, where trust is paramount for patron engagement and accurate cataloging, such vulnerabilities erode confidence in the digital infrastructure supporting these services.
To mitigate this risk, immediate action should be taken to upgrade the Library Information and Document Automation Program to version 22.2 or later, as indicated by the vendor's release notes addressing this specific flaw. For organizations unable to patch immediately due to operational constraints, implementing a Web Application Firewall (WAF) with rulesets tuned for XSS detection can provide an additional layer of defense by filtering out malicious input patterns before they reach the application logic. Additionally, developers should enforce strict output encoding practices, ensuring that all user-supplied data is encoded according to its context within HTML, JavaScript, or CSS blocks. Input validation must also be strengthened to reject any characters with special meaning in web contexts unless explicitly required and safely handled by the backend processing logic. Regular security assessments and penetration testing focused on input handling are recommended to identify similar weaknesses across other modules of the application suite.