Malware Analysis Based on Malicious Web URLs

Malicious URL distribution channels are used to host malicious data over the Internet. They are primarily responsible for transmitting spam, malware, adware, spoofing, inappropriate data, and resources. So victims get exploited for information disclosure, gaining unwanted access, financial loss, and extortion. Web applications are used by cyber attackers to gain remote access and covertly monitor sensitive data. Victims are driven by email, social media sites, or Web searches through malicious URLs. So, it gets a compromise. Traditional techniques like blacklisting, signature matching, and pattern matching are getting more complex due to the ever-growing volume of signatures, patterns, and features. Technology is changing over time and needs continuous innovation to sustain itself. In this paper, we propose a novel mechanism for classifying malicious URLs by comparing benign Web-based URLs with well-known classifiers, and our proposed procedure evaluates benign Web-based URLs while considering other malicious parameters as well.