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@article{190191,
        author = {Dharsha R and Priyadharshini R and Babisha B H and Kaavya.D},
        title = {PHISHING LINK DETECTION AND AUTOMATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {1561-1568},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190191},
        abstract = {Phishing has become one of the most widespread and damaging cyber-attacks in the modern digital ecosystem. Attackers frequently create deceptive websites and links that mimic legitimate platforms, tricking users into revealing sensitive information such as passwords, banking credentials, or personal identification details. With the increasing sophistication of phishing techniques—including domain spoofing, homograph attacks, link obfuscation, and social engineering—users often struggle to differentiate between genuine and malicious links. This growing challenge demands the development of intelligent, automated, and user-friendly solutions capable of protecting individuals from fraudulent websites in real time.
The project ClikShield: Phishing Link Detection and Automation System aims to address this critical issue by providing an efficient platform that automatically analyzes and classifies suspicious URLs before users interact with them. When a user pastes a link into ClikShield, the system performs a multi-layered verification process combining blacklist checks, domain pattern analysis, and third-party API validations such as Google Safe Browsing and PhishTank. These layers work collaboratively to ensure accurate detection of malicious or compromised websites. The core objective of ClikShield is not only to identify phishing attempts but also to prevent victims from unknowingly accessing harmful links.
One of the key features of ClikShield is its automated blocking mechanism. If a URL is identified as safe, the user is allowed to continue browsing normally. However, if the system detects any phishing indicators, it instantly halts the user from opening the link and displays a clear warning message. These warnings are provided in multiple languages, including English, Hindi, Tamil, and Malayalam, ensuring accessibility for a diverse user base and increasing the effectiveness of the protection mechanism. This multilingual approach also enhances inclusivity and ensures that users from various linguistic backgrounds can understand the severity of the threat.
The system is implemented entirely using HTML, CSS, and JavaScript, enabling seamless performance within any modern web browser without requiring additional installations or technical expertise. The lightweight frontend architecture makes ClikShield responsive, fast, and easy to use. Despite its simplicity, the system effectively integrates external cybersecurity APIs and analytical methods to ensure robust, real-time threat detection.
This project contributes to cybersecurity awareness by demonstrating how automated link-scanning technology can significantly reduce the risks associated with phishing attacks. ClikShield serves as a preventive shield that empowers users to verify suspicious links before interacting with them. Its ease of use, multilingual warnings, automated detection process, and educational value make it suitable for students, general users, and non-technical individuals who are most vulnerable to phishing attacks.},
        keywords = {Phishing, Cyber Security, URL Analysis, Malicious Link Detection, Automated Blocking System, Google Safe Browsing API, PhishTank API, Blacklist Verification, Domain Analysis, Web Security, Real-time Threat Detection, Homograph Attack Prevention, Multilingual Warning System, HTML, CSS, JavaScript, User Safety, Online Threat Mitigation, Fake Website Identification, Web-based Security Tool},
        month = {January},
        }