Hary Periya

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1 //The challenge

Every business email compromise starts the same way, an email that looks real but is not.

  • Where it shows up: an email lands in someone’s inbox that looks like it came from a vendor, a bank or a coworker, and nothing in the subject line gives it away.
  • What it costs: one convincing spoofed email can lead to a wire transfer, a stolen password or a ransomware payload, often before IT ever sees it.
  • Why the usual fix fails: spam filters catch obvious junk, but a well crafted spoof passes basic filtering because it is not spam, it is a forged identity.

2 //The Solution

This case study profiles a workflow that analyzes Gmail headers for signs of spoofing internally code named HeaderShield. The instinct behind it, checking authentication and IP reputation before a human ever reads the email, is the right one for any security team.

  • HeaderShield watches the Gmail inbox and pulls the full header the moment a new message arrives.
  • It checks SPF, DKIM and DMARC results to confirm whether the sending server was actually authorized to send as that domain.
  • It pulls the originating IP address, scores its reputation through IP Quality Score, and bundles everything into one result.

A spoofed email only has to fool a person. HeaderShield is built to check the part a person never sees.

Hary Periya

3 //My Pesonal Thoughts

Here is what I think most people miss about this kind of workflow.

  • The header is the part nobody checks manually, because reading raw SPF and DKIM output by hand takes real expertise most inboxes do not have time for.
  • This is not a replacement for security awareness training, it is what catches the spoof that gets past a tired employee on a Friday afternoon.
  • Routing this into Slack or a SIEM tool turns one inbox check into a standing piece of security infrastructure, not a one time scan.

4 //Key Outcomes

  • Every inbound email gets an authentication and IP reputation check before a human has to make a judgment call.
  • Spoofed messages get flagged on header evidence, not on whether the wording sounds convincing.
  • One JSON result feeds straight into Slack alerts or an existing SIEM tool without extra manual review.
Security checks run automatically on every email
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Phishing attempts caught before a human opens them
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