Malware is routinely used for illegal reasons, and new malware variants are discovered every day. Computer vision in
computer security is one of the most significant disciplines of research today, and it has witnessed tremendous growth in the
preceding decade due to its efficacy. We employed research in machine-learning and deep-learning technology such as Logistic
Regression, ANN, CNN, transfer learning on CNN, and LSTM to arrive at our conclusions. We have published analysis-based
results from a range of categorization models in the literature. InceptionV3 was trained using a transfer learning technique,
which yielded reasonable results when compared with other methods such as LSTM. On the test dataset, the transferring
learning technique was about 98.76 percent accurate, while on the train dataset, it was around 99.6 percent accurate.
