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Track Email Origins Easily with a Mail Header Analyzer (23 อ่าน)
25 เม.ย 2568 22:20
<h3 class="" data-start="117" data-end="179"><strong data-start="121" data-end="179">Track Email Origins Easily with a Mail Header Analyzer</h3>
<p class="" data-start="181" data-end="650">Have you ever received a suspicious email and wondered where it really came from? With the rise of spam, phishing attempts, and fraudulent messages, being able to trace the origin of an email is more important than ever. Fortunately, a <strong data-start="417" data-end="441">mail header analyzer makes it easy to uncover the hidden details behind any email. Whether you're trying to identify a scam or simply trace the path of an important message, analyzing the email header gives you powerful insights.
<p class="" data-start="652" data-end="826">In this article, we’ll break down what a mail header is, why analyzing it matters, and how you can use a mail header analyzer to track email origins in just a few clicks.
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<h3 class="" data-start="833" data-end="865"><strong data-start="837" data-end="865">What is an Email Header?</h3>
<p class="" data-start="867" data-end="1143">An <strong data-start="870" data-end="886">email header is like the behind-the-scenes metadata of an email. It contains crucial information about how the email was transmitted from the sender to the recipient. While the body of the email holds the actual message, the header holds the technical details, such as:
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<p class="" data-start="1147" data-end="1183">Sender and recipient email addresses
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<p class="" data-start="1186" data-end="1218">Date and time the email was sent
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<p class="" data-start="1221" data-end="1262">IP addresses of the mail servers involved
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<p class="" data-start="1265" data-end="1312">The route the email took (via “Received” lines)
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<p class="" data-start="1315" data-end="1360">Authentication results (SPF, DKIM, and DMARC)
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</ul>
<p class="" data-start="1362" data-end="1483">This hidden data can reveal where the email originated, whether it was sent from a trusted server, and if it was spoofed.
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<h3 class="" data-start="1490" data-end="1529"><strong data-start="1494" data-end="1529">Why Use a Mail Header Analyzer?</h3>
<p class="" data-start="1531" data-end="1702">Manually reading email headers can be confusing. The raw data is often lengthy, technical, and full of jargon. This is where a <strong data-start="1658" data-end="1682">mail header analyzer becomes invaluable.
<p class="" data-start="1704" data-end="1735">Here’s what it can help you do:
<h4 class="" data-start="1737" data-end="1772">✅ <strong data-start="1744" data-end="1772">Identify the True Sender</h4>
<p class="" data-start="1773" data-end="2024">Scammers often spoof email addresses to make them appear as if they come from a legitimate source. By analyzing the header, you can pinpoint the actual server and IP address used to send the email — not just the "From" address displayed in your inbox.
<h4 class="" data-start="2026" data-end="2058">✅ <strong data-start="2033" data-end="2058">Trace the Email Route</h4>
<p class="" data-start="2059" data-end="2295">Most email headers include multiple “Received” lines, showing each server the message passed through. A mail header analyzer organizes this data to clearly display the path the email took across the internet, including its origin point.
<h4 class="" data-start="2297" data-end="2344">✅ <strong data-start="2304" data-end="2344">Detect Spoofing or Phishing Attempts</h4>
<p class="" data-start="2345" data-end="2567">Header analysis tools flag authentication failures (like SPF, DKIM, or DMARC mismatches), which are common in phishing emails. If a sender fails to authenticate their domain, there’s a higher chance the email is malicious.
<h4 class="" data-start="2569" data-end="2612">✅ <strong data-start="2576" data-end="2612">Report Spam or Abuse Effectively</h4>
<p class="" data-start="2613" data-end="2829">When reporting abuse to a hosting provider or email service, including the email header analysis gives credibility to your claim. It provides technical proof of where the message came from and who may be responsible.
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<h3 class="" data-start="2836" data-end="2873"><strong data-start="2840" data-end="2873">How to Access an Email Header</h3>
<p class="" data-start="2875" data-end="3019">Before you can use a mail header analyzer, you need to get the header from your email. Here’s how to do that in the most common email platforms:
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<p class="" data-start="3023" data-end="3133"><strong data-start="3023" data-end="3032">Gmail: Open the email, click the three dots (More) in the upper-right corner, then select “Show Original.”
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<p class="" data-start="3136" data-end="3226"><strong data-start="3136" data-end="3153">Outlook (Web): Open the email, click the three dots, and choose “View message source.”
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<p class="" data-start="3229" data-end="3306"><strong data-start="3229" data-end="3243">Apple Mail: Select the message, then choose View > Message > All Headers.
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<p class="" data-start="3309" data-end="3388"><strong data-start="3309" data-end="3323">Yahoo Mail: Open the message, click “More,” then choose “View Raw Message.”
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</ul>
<p class="" data-start="3390" data-end="3486">Copy the entire header text — it may look like a wall of code — and paste it into your analyzer.
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<h3 class="" data-start="3493" data-end="3543"><strong data-start="3497" data-end="3543">Using a Mail Header Analyzer: Step-by-Step</h3>
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<p class="" data-start="3548" data-end="3692"><strong data-start="3548" data-end="3572">Copy the Full Header Open the suspicious or important email and locate its full header. Select and copy everything in that header window.
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<p class="" data-start="3697" data-end="3817"><strong data-start="3697" data-end="3734">Visit a Mail Header Analyzer Tool There are several free and reliable header analyzers available online, such as:
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<p class="" data-start="3823" data-end="3852"><strong data-start="3823" data-end="3852">MxToolbox Header Analyzer
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<p class="" data-start="3858" data-end="3896"><strong data-start="3858" data-end="3896">Google Admin Toolbox Messageheader
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<p class="" data-start="3902" data-end="3934"><strong data-start="3902" data-end="3934">IPVoid Email Header Analyzer
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<p class="" data-start="3940" data-end="3996"><strong data-start="3940" data-end="3996">Microsoft Message Header Analyzer Add-in for Outlook
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</ul>
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<p class="" data-start="4001" data-end="4163"><strong data-start="4001" data-end="4022">Paste and Analyze Paste the copied header into the tool and click “Analyze” or “Submit.” The tool will decode the data and display it in a readable format.
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<p class="" data-start="4168" data-end="4369"><strong data-start="4168" data-end="4190">Review the Results Look at the sender IP, email route, domain authentication results, and timestamps. Check if anything looks suspicious, like an unexpected location or a mismatch in the domain.
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<h3 class="" data-start="4376" data-end="4415"><strong data-start="4380" data-end="4415">What to Look for in the Results</h3>
<p class="" data-start="4417" data-end="4480">Here are some key things to look at once the header is decoded:
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<p class="" data-start="4484" data-end="4595"><strong data-start="4484" data-end="4505">Sender IP Address: Is the IP location consistent with the supposed sender? Use an IP lookup tool to verify.
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<li class="" data-start="4596" data-end="4721">
<p class="" data-start="4598" data-end="4721"><strong data-start="4598" data-end="4626">SPF, DKIM, DMARC Results: A “Fail” result means the sender didn’t properly authenticate the message. That’s a red flag.
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<p class="" data-start="4724" data-end="4835"><strong data-start="4724" data-end="4754">Message ID and Return-Path: Do they match the sender’s domain? Mismatches here are often signs of spoofing.
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<p class="" data-start="4838" data-end="4924"><strong data-start="4838" data-end="4853">Time Stamps: Check for delays or unusual time differences in the “Received” lines.
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<p class="" data-start="4927" data-end="5036"><strong data-start="4927" data-end="4952">"Reply-To" Mismatches: If the reply-to address is different from the sender, it could be a phishing trap.
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</ul>
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<h3 class="" data-start="5043" data-end="5092"><strong data-start="5047" data-end="5092">Common Use Cases for Mail Header Analysis</h3>
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MKseo
ผู้เยี่ยมชม
mk18285@gmail.com