Introduction This article will explore the realm of virus detection, focusing on how machines can be trained to identify viruses. We will examine the rising threat of malware and the challenges antivirus software faces. Furthermore, we will look into different methods and algorithms for training programs to detect viruses. Ultimately, we will create a basic antivirus script in Python using the scikit-learn library. The Growth of Malware Since 2010, the prevalence of malware on the internet has surged. Well-known antivirus programs continually update their systems to combat new threats. Polymorphic viruses and worms have advanced, making them more challenging to detect and manage. This evolution necessitates more sophisticated techniques and algorithms for virus detection. Training Programs to Identify Viruses Virus detection is fundamentally a classification issue. By training a program to determine if software is malicious, we can act to remove it. Researchers have effectively trained programs using various machine learning algorithms to identify viruses on platforms like Android devices.