Honors Project - Human Security Assessment

This project contains Python scripts for various security assessment tasks.

Folder Structure

• scripts/: Contains all Python scripts

  • social_media_scraper.py: Scrapes contact info from GitHub profiles
  • email_verifier.py: Verifies email addresses using SMTP
  • network_discovery.py: Analyzes PCAP files for network devices
  • packet_analysis.py: Analyzes PCAP for traffic patterns and security issues
  • password_strength_checker.py: Checks password strength and hashes
  • ad_auditor.py: Simulates Active Directory user and group auditing
  • log_parser.py: Parses server logs for filtering, searching, and visualization
  • firewall_analyzer.py: Analyzes firewall logs for suspicious activities

• data/: Contains input and output data files

  • capture.pcap: Sample PCAP file for testing
  • scraped_contacts.csv/json: Output from social media scraper
  • network_devices.csv/json: Output from network discovery
  • passwords.txt: Sample passwords for strength checking
  • password_results.csv: Output from password checker
  • logs.txt: Sample server logs for parsing
  • firewall_logs.txt: Sample firewall logs for analysis

• penetration_testing_assignment.md: Detailed assignment on setting up penetration testing environment

• ethical_considerations_assignment.md: Assignment on ethical considerations in penetration testing

• license_compliance_report.md: Analysis report on software license compliance

• vulnerability_report.md: Comprehensive vulnerability assessment and mitigation report

• requirements.txt: Python dependencies

• venv/: Virtual environment (not in repo)

Setup

1. Create Virtual Environment:

   python -m venv venv

2. Activate Virtual Environment:

   • Windows: venv\Scripts\activate
   • Linux/Mac: source venv/bin/activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Run Scripts: Execute from the project root or scripts/ folder. See Usage section for details.

Usage

Run scripts from the scripts/ folder or with full paths. Sample data is provided in data/.

• Social Media Scraper: python scripts/social_media_scraper.py - Scrapes GitHub profiles for contact info.
• Email Verifier: python scripts/email_verifier.py - Verifies emails via SMTP.
• Network Discovery: python scripts/network_discovery.py - Analyzes PCAP for devices.
• Packet Analysis: python scripts/packet_analysis.py - Analyzes PCAP for patterns and threats.
• Password Strength Checker: python scripts/password_strength_checker.py - Checks passwords and hashes.
• AD Auditor: python scripts/ad_auditor.py - Simulates AD user/group auditing.
• Log Parser: python scripts/log_parser.py - Parses server logs with filtering.
• Firewall Analyzer: python scripts/firewall_analyzer.py - Analyzes firewall logs for suspicious activity.