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[Flash talk] MUDPIPE - Malicious URL Detection for Phishing Identification and Prevention
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Social engineering is one of the most dangerous threats facing every individual and modern organization. Phishing is a well-known, computer-based, social engineering technique. Attackers use disguised emails as a weapon to target large companies. Numerous fake websites have
been developed to mimic trusted websites, with the aim of stealing financial assets from users and organizations.
With the huge number of phishing emails received every day, companies are not able to detect all of them. That is why new techniques and safeguards are needed to defend against phishing. In the layered-security model, this is the next level of security control to deal with those emails that even manage to evade spam filtering gateway & also block undesired action when a user clicks on a malicious link.
Machine learning (ML) is a popular tool for data analysis and recently has shown promising results in combating phishing. This talk will explore the behind-the-scenes of phishing detection and walk thorugh the the steps required to build a machine learning-based solution to detect phishing attempts, using cutting-edge Python machine learning libraries.
been developed to mimic trusted websites, with the aim of stealing financial assets from users and organizations.
With the huge number of phishing emails received every day, companies are not able to detect all of them. That is why new techniques and safeguards are needed to defend against phishing. In the layered-security model, this is the next level of security control to deal with those emails that even manage to evade spam filtering gateway & also block undesired action when a user clicks on a malicious link.
Machine learning (ML) is a popular tool for data analysis and recently has shown promising results in combating phishing. This talk will explore the behind-the-scenes of phishing detection and walk thorugh the the steps required to build a machine learning-based solution to detect phishing attempts, using cutting-edge Python machine learning libraries.