GotFish is an educational phishing awareness tool that helps analysts evaluate suspicious URLs, domains, and email addresses through character-level analysis, Unicode decomposition, and dnstwist integration.
A machine learning approach to classifying malware using PE header features from the ClaMP dataset. Covers feature engineering, dimensionality reduction, and model evaluation across Random Forest, SVM, and Decision Tree classifiers.
An analysis of container security risks including kernel-level threats, unrestricted network traffic, file access vulnerabilities, and inconsistent patching practices with mitigation strategies.
An overview of machine learning types, enterprise applications, and the tools available for implementing ML across industries.