Security Dossier · ipridem

Pride Mazwimairi

Cybersecurity student, ethical hacker, and pentester bridging human intuition with technical robustness to secure the next generation of digital infrastructure.

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

Profile

I am a fourth-year Cybersecurity and Forensic Auditing student at the University of Zimbabwe with a passion for offensive security and network forensics. My goal is to bridge the gap between human intuition and technical robustness to secure the next generation of digital infrastructure.

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.