AI Phishing Analyzer

An AI-driven phishing analysis concept designed to plug into supported email accounts (for example via secure integrations such as OAuth with business-approved mail providers).

Once connected — and only for accounts you own or are authorized to monitor — incoming email is continuously scanned for phishing indicators such as:

• Suspicious URLs and lookalike domains
• Language patterns typical of social engineering
• Unexpected attachment types and formats
• Sender anomalies compared to normal communication patterns
• Scanning URL's for suspicious, hidden and malicious domains

The goal is to flag risky messages early, reduce the chance of a successful phishing attack, and provide explainable alerts that help users learn what to watch out for.

AI Vulnerability Analyzer

A concept tool focused on quickly assessing exposed services for systems you own or are explicitly authorized to test. The idea is simple: you provide a target IP address within an approved scope, and the analyzer:

• Identifies open ports and running services on the target
• Attempts to determine service versions where possible
• Compares discovered versions against known public vulnerabilities (CVEs)
• Surfaces potential issues with context so they can be triaged and validated

This kind of tool is meant to support responsible, authorized vulnerability management — not random or unauthorized scanning of systems.

Automation & Reporting Scripts

Lightweight scripts to help during engagements with tasks such as:

• Recon data collection and organization
• Parsing scan results into human-readable summaries
• Generating sections of reports from structured findings

The goal is to spend less time on repetitive tasks and more time on analysis and clear communication.

Hands-On Labs & CTF Work

Ongoing practice in lab and capture-the-flag environments to stay sharp on:

• Web exploitation and API abuse scenarios
• Privilege escalation on different operating systems
• Lateral movement and post-exploitation techniques

This practical experience feeds directly into the way I approach real-world assessments.