Volume 2 - Issue 2, March - April 2026

Website defacement constitutes one of the most widespread forms of cyber assault, aimed at compromising the integrity and trustworthiness of public-facing web sites. During these types of attacks, hackers or malicious actors achieve their objectives by altering the content of a site to promote their agenda (e.g., propaganda and misinformation) or to assert their superiority over the organization's security measures (e.g., demonstrating that they can gain access to the site's files and databases). As a result of defacement attacks, organizations may sustain significant reputational damage, lose user trust, and incur financial and legal liabilities. For this reason, timely detection of defacement attacks on web sites is critical to ensuring that the integrity, availability, and security of a web application is maintained. The present study describes the development of a Website Defacement Detection System (WDDS) in Python that continuously monitors the website for unauthorized content changes in real-time. WDDS operates by creating a baseline version of the site and performing periodic comparisons between the baseline and the current versions of the site's content using hash algorithms and content comparison techniques. When there is a significant difference between either the HTML markup structure, the text content, or any embedded resources found on the page, an alert will be issued indicating that the site may have been defaced. The WDDS has been designed to detect both static defacement (i.e., where modified pages contain altered HTML content) and dynamic defacement (where modified pages have been altered using injected or script-based content). The WDDS enhances the accuracy of the validation and reduces the number of false-positive alerts by utilizing threshold-based comparisons, performing file integrity checks, and/or allowing for keyword analysis of suspicious activity patterns that are frequently used in defacement attacks. WDDS has been designed to be lightweight, platformneutral, and easily deployable to python..

Harshini S, Dr. S. Malathi,"Website Defacement Detector Using Python" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(415-422) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.