Ozichukwu Chimezie 's Projects
a Python code that generates a general API client based on a provided OpenAPI specification file (commonly in JSON or YAML format)
Constructed an open-source incident response orchestration solution featuring automated workflows combining existing products for triage, threat hunting, case management, and SOAR efforts spanning diverse technology stacks. The toolchain has a flexible architecture accepting inputs derived from MITRE's ATT&CK knowledge base or other TTP frameworks
A tool that analyzes malware artifacts to extract useful information for forensic analysis or threat intelligence.
Created a tool capable of capturing and analyzing traffic flowing between virtual machines deployed in public cloud environments such as AWS, Azure, or GCP. The platform could incorporate machine learning algorithms to identify anomalous behaviors, generate insights on network performance issues, or categorize and group similar traffic types based
The model is trained using Isolation Forest, which is an unsupervised machine learning algorithm commonly used for anomaly detection. In this case, the algorithm identifies outliers in the feature space, and if the file's attributes fall into the outlier region, it predicts the file as ransomware.
The Web Application Firewall is a simple Python-based web application firewall that uses a combination of keyword blocking and regular expression pattern matching to detect potential SQL injection attacks.
Designed a framework allowing automated testing of web applications for vulnerabilities commonly exploited by attackers through cross-site scripting (XSS), SQL injection, and remote command execution attacks. The framework includes a web scanner integrating custom scripts, along with an API designed to receive test input from continuous integration