Security Dossier · ipridem

Pride Mazwimairi

Final-year Cybersecurity & Forensic Auditing student, focused on offensive security, digital forensics, and building security tools that ship.

Field
Offensive Security & Network Defense
Institution
University of Zimbabwe
Status
4th-Year Student · Active
Codename
ipridem
View Repositories
01

Profile

I'm a final-year Cybersecurity and Forensic Auditing student at the University of Zimbabwe, working across offensive security, digital forensics, and penetration testing. Most of my work turns local security problems into tools that actually run — mobile-money fraud detection, SMS-phishing classification tuned to Zimbabwe's threat landscape, and secure access control for high-security environments.

console — /bin/sh type 'help'
Welcome to Terminal v1.0.4. Type 'help' to start.
root@ipridem:~$
02

Capabilities

Offensive

  • Penetration Testing
  • Vulnerability Assessment
  • Network Enumeration
  • Web App AppSec

Defensive

  • SOC Monitoring
  • Incident Response
  • Network Hardening
  • IDS/IPS Configuration

Tools

  • Kali Linux / Parrot OS
  • Metasploit / Burp Suite
  • Wireshark / Nmap
  • Splunk / ELK Stack
03

Deployments

D-01

SDCAMS

Secure Data Centre Contractor Access Management System — a Flask web app that replaces manual visitor log books in high-security environments. Enforces role-based access control, admin-approval registration, and immutable audit logging, with PBKDF2:SHA256 hashing and CSV export. Built for my cybersecurity internship.

Python / Flask RBAC Audit Logging
D-02

FinGuard

Final-year capstone: a mobile-money fraud-detection platform on Flask + PostgreSQL. Four analysis engines — transaction analytics, APK static analysis, forensic case reporting, and SMS-phishing detection — feed a single case module with process-stable evidence hashing for forensic integrity.

Python PostgreSQL Digital Forensics
D-03

SmishGuard ZW

A hybrid rule-based + machine-learning smishing (SMS-phishing) classifier tuned to Zimbabwe's mobile-money threat landscape. Handles Shona/English code-switched messages, engineered URL and keyword features, and a synthetic-SMS generator for training. Grew out of FinGuard's detection engine into a standalone model.

Machine Learning NLP Flask
04

Contact

Interested in collaborating, or just want to talk security? The channels are open.