E-Mail Header Analyzer
Ingestors extract the contents of mixed unstructured documents into structured (followthemoney) data.
This tool help to find email header hop list . Also help to SpF and DKIM signature verification. You can check all mail is legitimate or not
Ingestors extract the contents of mixed unstructured documents into structured (followthemoney) data.
📧 A javascript wrapper for Hunter.io API
All-in-One Forensic Extraction
Email Header Forensics Lab is a desktop application for inspecting, generating, editing, and analyzing email headers in controlled environments for forensic analysis, security research, and authentication testing.
A comprehensive Digital Forensics course covering fundamentals, investigation processes, cybercrime, forensic tools, and practical investigations.
PST Hunt0r is a PowerShell utility for hunting through ZIP archives containing Outlook PST files and identifying emails tied to a target domain. It extracts ZIPs, processes PSTs via Outlook/MAPI, exports hits to CSV, and shows live progress with elapsed time and ETA.
Comprehensive phishing incident response simulation with email forensics, threat intelligence enrichment, and NIST-aligned playbook
Phishing email attack simulation and detection lab using Kali Linux, Windows Server 2022, hMailServer, and MITRE ATT&CK T1566 mapping
Python tool to parse and analyze email headers (.eml files) for phishing detection, spoofing attempts, and security threats.
Digital Forensics & Pro Hacker — Complete Mastery Guide
Practical notes, checklists and reference guides on email forensics, PST/OST/MBOX file formats, and mailbox conversion workflows.
Local-first email forensics tool for analyzing headers, authentication evidence, delivery paths, MIME content, URLs, attachments and generating explainable reports.
Email header analysis made easy!
Python-based email header forensic analysis tool for extracting sender information, sender IP, SPF/DKIM/DMARC results, and routing path.
Swift Package for parsing forensic email evidence — PST (via libpff), EMLX, MBOX, EML, Outlook Classic, Outlook (New)/Hx, and Spark.
Faster & Better Way to analyze the EML Files
Enterprise defensive phishing analysis platform for SOC, DFIR, threat hunting, and email security research.
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