Email Header Analyzer

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Email Header Analyzer

Parse and analyze email headers to trace email routes, detect phishing attempts, verify sender authenticity, and troubleshoot email delivery issues. Extract delivery paths, SPF/DKIM/DMARC results, IP addresses, and timestamps from raw email headers for comprehensive email forensics and security analysis.

Key Features:

  • Parse and extract all header fields
  • Trace email delivery path (Received headers)
  • Show SPF, DKIM, DMARC authentication results
  • Extract sender and recipient information
  • Display timestamps and delivery time
  • Identify mail servers and IP addresses

Common Use Cases:

  • Phishing detection and analysis
  • Email delivery troubleshooting
  • Verify sender authenticity
  • Trace spam sources
  • Email forensics investigation

Paste Email Headers

💡 Tip: In Gmail, click "Show original" to view headers. In Outlook, select message → File → Properties.

What is Email Header Analyzer?

Email Header Analyzer is a powerful technical tool used by developers, system administrators, and IT professionals. This tool provides reliable results based on current standards and best practices in the field.

Our Email Header Analyzer uses proven methods and algorithms to ensure accurate and helpful results. Whether you're a professional or casual user, this tool can help you accomplish your tasks quickly and effectively.

📘 Key Information

The Email Header Analyzer provides technical insights and analysis based on the data you provide. Understanding these results can help you make informed decisions and improve your workflows.

Important: This tool is designed for informational and educational purposes. Always verify critical information and consult with qualified professionals when necessary.

📋 How to Use This Tool

  1. Enter your data: Input the required technical information accurately. Ensure all values are in the correct format.
  2. Select options: Choose appropriate settings and parameters based on your specific use case.
  3. Verify inputs: Double-check that all entered data is correct before proceeding with the analysis.
  4. Review results: Carefully examine the output and understand what each value represents.
  5. Apply findings: Use the results appropriately in your technical work or troubleshooting efforts.

🔬 Technical Details

The Email Header Analyzer is built on industry standards and proven technical methodologies. It implements algorithms and protocols that are widely used and trusted in professional environments.

The tool takes into account multiple factors and parameters to provide comprehensive results. The methods used are regularly updated to reflect current best practices and new developments.

The underlying implementation has been optimized for accuracy, performance, and ease of use while maintaining high standards of quality.

🎯 When & Why to Use This Tool

Common Use Cases:

  • System troubleshooting and diagnostics
  • Network configuration and analysis
  • Development and testing workflows
  • Security auditing and assessment

Benefits:

  • Fast and accurate technical analysis
  • Standards-based methodology
  • Immediate results and insights
  • Professional-grade output

⚠️ Important Limitations

  • Not a replacement for expertise: This tool provides analysis but should not replace professional technical judgment.
  • Input accuracy: Results depend on accurate input data. Incorrect information will lead to incorrect results.
  • Context-specific: Tool may not account for all edge cases or unique scenarios in your environment.
  • Regular updates needed: Standards and best practices evolve. Stay informed about changes in your field.
  • Verification recommended: For critical systems, always verify results through multiple sources or methods.

Frequently Asked Questions

What are email headers and what information do they reveal?
Email headers are metadata fields attached to every email message, containing the complete routing information, authentication results, and technical details about the email's journey from sender to recipient. Headers are hidden from normal view but reveal critical forensic data. Key header information: Received headers show every mail server that handled the message, with timestamps and IP addresses, creating a complete trail. From/To/Subject are basic visible fields. Return-Path indicates where bounces should go (often reveals actual sender). Message-ID is a unique identifier for the email. Received-SPF, DKIM-Signature, ARC-Authentication-Results show email authentication status. X-Originating-IP reveals the sender's IP address. X-Mailer or User-Agent identifies the email client software used. Content-Type specifies message format (plain text, HTML, multipart). X-Spam-Status and X-Spam-Score show spam filtering results. Headers help identify: spam sources, phishing attempts, spoofed emails, delivery delays, server misconfigurations, and the true origin of suspicious messages. They're essential for email forensics, troubleshooting delivery issues, and verifying email authenticity.
How do I access and analyze email headers to detect spam or phishing?
To view headers: In Gmail, open the email, click three dots menu, select 'Show original'. In Outlook, open the message, go to File > Properties > Internet headers. In Apple Mail, select message, choose View > Message > All Headers. Copy the entire header text and paste it into the Email Header Analyzer. Red flags for spam/phishing: Mismatched From addresses - display name says 'PayPal' but actual address is randomstring@suspicious-domain.ru. Failed authentication - SPF, DKIM, or DMARC failures indicate the sender isn't authorized. Suspicious originating IPs - trace 'Received' headers to find the first server; residential IPs or foreign countries may indicate compromise. Missing or forged headers - legitimate mail servers add consistent headers; minimal headers suggest manipulation. Mismatched Return-Path - if Return-Path domain differs from From domain, it may be spoofed. Recent timestamps - but message claims to be urgent notification about old activity. Generic Message-IDs - legitimate services have consistent ID patterns. The analyzer highlights these issues automatically, showing authentication failures, suspicious server chains, and potential spoofing indicators. Check if domains in From, Return-Path, and DKIM signatures all match the claimed sender.
How do I trace an email's path and identify where delays occurred?
Received headers document each mail server hop in reverse chronological order (newest first, oldest last). Each 'Received:' line contains: the server name/IP that received the message, the server it was received from, and a timestamp. To trace the path: Start from the bottom Received header (original sender) and work upward to your mailbox. The Email Header Analyzer automatically parses and orders these chronologically. Example chain: (1) Sender's mail client → (2) Sender's outbound SMTP server (smtp.example.com) → (3) Recipient's MX server (mx.gmail.com) → (4) Recipient's mailbox. Identifying delays: Compare timestamps between consecutive Received headers. Normal processing is seconds to minutes. Hours-long gaps indicate: server queues due to high volume, greylisting (temporary rejection to deter spam), DNS problems causing delivery retries, network connectivity issues, or aggressive spam filtering. For example: if an email left the sender at 10:00 AM but didn't reach the first recipient server until 2:00 PM, the delay is in sender's infrastructure or network path. If it reached the recipient's server at 10:05 AM but wasn't delivered to the inbox until 3:00 PM, the delay is in recipient-side filtering or processing. The analyzer calculates total transit time and highlights unusual delays exceeding normal thresholds (typically >30 minutes for most routes).
What do SPF, DKIM, and DMARC authentication results in headers mean?
Email headers contain authentication results that verify sender legitimacy. SPF (Sender Policy Framework) results appear as Received-SPF: pass or Authentication-Results: spf=pass. Pass means the sending IP is authorized in the domain's SPF record. Fail indicates unauthorized sending (potential spoofing). Softfail (~all) suggests possible unauthorized sender but not definitive. Neutral means SPF doesn't assert authorization. None indicates no SPF record exists. DKIM (DomainKeys Identified Mail) shows as dkim=pass header.d=example.com. Pass means the cryptographic signature is valid and message wasn't altered. Fail indicates signature verification failed (message tampered or misconfigured DKIM). None means no DKIM signature present. The header.d= shows which domain signed it. DMARC results: dmarc=pass means both SPF/DKIM passed AND the domain aligns (From domain matches authenticated domain). Fail means authentication or alignment failed. Check the action= field: none (monitoring only), quarantine (moved to spam), or reject (blocked entirely). Best practice: Trust emails with SPF=pass, DKIM=pass, DMARC=pass. Investigate if any authentication fails, especially for sensitive requests like password resets or financial transactions.
How can I use header analysis to identify spoofed or forged emails?
Display name spoofing: Check if the visible name matches the actual email address. 'CEO John Smith ' is obviously spoofed. Look at the From: header's actual address, not just the display name. Domain spoofing: Examine closely for typosquatting: paypa1.com (number 1 instead of L), micr0soft.com (zero instead of O), or subdomain tricks like paypal.com.suspicious-domain.com. Return-Path mismatch: If Return-Path: bounces@spam-domain.net but From: support@legitimate-bank.com, it's spoofed. Replies go to the From address, but technical bounce addresses reveal true sender. Authentication failures: Failed SPF/DKIM/DMARC strongly suggest spoofing. Legitimate companies have proper authentication. Originating IP analysis: Find the first 'Received:' header (bottom of the list) showing from [IP.address]. Perform reverse DNS or geolocation lookup. If the IP is residential, foreign, or belongs to a hosting provider rather than the claimed company's network, it's suspicious. Message-ID format: Legitimate services have consistent patterns like <uniqueid@mail.example.com>. Random or mismatched domain suggests forgery. Received header count: Too few headers (1-2) might indicate header stripping. Too many unusual relays suggest bot networks. The analyzer flags these discrepancies automatically, but understanding the underlying indicators helps you make informed trust decisions.
What should I do if I find suspicious email headers indicating a phishing attempt?
First, do not click any links or download attachments in the suspicious email. Do not reply or follow any instructions it contains. Document the evidence: Save the full email headers and the message itself. Take screenshots. Note the timestamp, sender details, and any suspicious URLs. Verify through official channels: If the email claims to be from your bank, a service provider, or colleague, contact them directly using known-good contact information (not information from the suspicious email). For example, call the bank's official customer service number from their website or your card. Report the phishing: Forward the entire email with headers to the legitimate organization being impersonated (most banks have abuse@bankname.com or phishing@servicename.com). Report to your email provider: Gmail (click Report Spam/Phishing), Outlook (Report phishing), etc. Report to Anti-Phishing Working Group at reportphishing@apwg.org. Report to FTC at ftc.gov/complaint if you're in the US. Internal threats: If in a corporate environment, report immediately to your IT security team. They may need to block the sender, warn other employees, or investigate if systems were compromised. If you clicked or provided information: Change passwords immediately for affected accounts, enable two-factor authentication, monitor financial accounts for unauthorized activity, run antivirus/malware scans, and consider credit monitoring if personal/financial information was exposed. Delete the phishing email after documentation to prevent accidental future interaction.

Email Header Analyzer & Phishing Detection

Parse and analyze raw email headers to trace message delivery paths, verify email authentication (SPF, DKIM, DMARC), detect phishing attempts, and troubleshoot email delivery issues. Our email header analyzer extracts critical forensic information including sender IP addresses, mail server routing, timestamps, authentication results, and message identifiers. Essential for IT administrators investigating spam, security analysts detecting phishing campaigns, and anyone needing to verify email legitimacy and trace message origins.

Key Features

  • Complete email header parsing with multi-line continuation support
  • SPF, DKIM, and DMARC authentication result extraction and analysis
  • Email delivery path tracing through received headers
  • Sender IP address and mail server identification
  • Timestamp analysis for delivery route timing
  • Phishing detection through authentication verification

Common Use Cases

  • Detect phishing emails by analyzing sender authentication
  • Troubleshoot email delivery failures and routing issues
  • Trace email origins for security investigations
  • Verify legitimate sender identity before responding
  • Investigate spam and malicious email campaigns
  • Audit email server configurations and SPF/DKIM setup

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