CVE-2023-1766 in Panon
Summary
by MITRE • 04/03/2023
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Akbim Computer Panon allows Reflected XSS.This issue affects Panon: before 1.0.2.
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Analysis
by VulDB Data Team • 05/22/2026
The vulnerability identified as CVE-2023-1766 represents a critical cross-site scripting flaw within the Akbim Computer Panon web application framework. This reflected cross-site scripting vulnerability stems from inadequate input sanitization during web page generation processes, creating an exploitable condition that allows malicious actors to inject client-side scripts into web pages viewed by other users. The flaw specifically manifests when the application fails to properly neutralize user-supplied input before incorporating it into dynamically generated web content, thereby enabling attackers to execute arbitrary JavaScript code within the context of affected users' browsers.
The technical implementation of this vulnerability places it squarely within the scope of CWE-79 - Improper Neutralization of Input During Web Page Generation, which is a fundamental weakness in web application security architectures. This classification indicates that the application's input handling mechanisms are insufficiently robust to prevent malicious script injection, particularly in reflected scenarios where user input is immediately returned in the application's response without proper sanitization. The vulnerability affects all versions of the Panon framework prior to version 1.0.2, suggesting that the developers identified and addressed the issue through input validation and output encoding improvements in their security patch.
From an operational perspective, this reflected XSS vulnerability poses significant risks to both application integrity and user data confidentiality. Attackers can exploit this weakness by crafting malicious URLs containing script payloads that, when clicked by victims, execute unauthorized code within their browser sessions. The reflected nature of this vulnerability means that the malicious input is not stored on the server but rather reflected back to the user in the application's response, making it particularly challenging to detect through traditional security monitoring approaches. Successful exploitation could enable attackers to steal session cookies, perform unauthorized actions on behalf of users, redirect victims to malicious sites, or harvest sensitive information from user sessions.
The impact of this vulnerability extends beyond simple script execution, as it aligns with several tactics outlined in the MITRE ATT&CK framework under the T1059.007 - Command and Scripting Interpreter: JavaScript category. This classification indicates that attackers can leverage the vulnerability to execute JavaScript code within user contexts, potentially leading to further exploitation chains including credential theft, privilege escalation, and persistent access to compromised systems. Organizations utilizing affected versions of the Panon framework face elevated risk of data breaches, session hijacking, and potential lateral movement within their network environments.
Mitigation strategies for CVE-2023-1766 require immediate deployment of the patched version 1.0.2 or higher, which should include comprehensive input validation and output encoding mechanisms. Security teams should implement robust content security policies to prevent unauthorized script execution, establish proper input sanitization routines that strip or encode potentially malicious characters, and conduct thorough security testing of all user-facing input fields. Additionally, organizations should consider implementing web application firewalls to detect and block suspicious script injection attempts, while maintaining regular security assessments to identify similar vulnerabilities in their web application ecosystems. The vulnerability demonstrates the critical importance of input validation and output encoding in preventing cross-site scripting attacks, reinforcing industry best practices outlined in OWASP Top Ten and similar security frameworks.