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Phishing Detection & Awareness

🎯 Objective

To analyze real-world phishing emails, identify structural security flaws, and verify email authentication records.

πŸ› οΈ Tools Used

  • Gmail Web Client: For extracting raw email text and routing metadata via 'Show Original'.
  • MXToolbox: For analyzing email headers, tracking delivery hops, and checking security rules.
  • Documentation & Storage: Utilizing MS Word and GitHub to build the evidence repository.

πŸ” Analysis Approach

Each suspicious email sample was audited against key phishing indicators:

  • Sender Domain Mismatch: Display names mimicking trusted brands while hiding unrelated sender domains.
  • Psychological Triggers: Using artificial urgency and major financial baits to trick targets.
  • Hidden Hyperlinks: Obfuscating tracking or redirect links behind legitimate-looking buttons.
  • Generic Targeting: Addressing victims by generic placeholders or email handles instead of actual names.
  • Domain Policy Exploitation: Leveraging weak or un-enforced security policies to bypass default inbox filters.

πŸ“Š Risk Classification

All analyzed email campaigns were scored 10/10 (High Risk) due to clear fraud indicators. Tracking revealed shared backend server footprints and identical distribution logic, confirming a coordinated threat campaign.

πŸš€ Key Outcome

This analysis demonstrates hands-on proficiency in capturing live threat metrics, parsing technical email headers, and building actionable user-awareness guidelines to protect enterprise systems.


πŸ‘¨β€πŸ’» Analyst Profile

Adithyan. V | Cybersecurity Analyst & Researcher

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Phishing Detection & Awareness project evaluating live email threat samples and executing MXToolbox header verifications for the Future Interns Cybersecurity Internship (Task 2).

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