# OSINT Tools for Phishing and Email Investigations in Legendary OSINT: A Complete Guide

> Discover OSINT tools for phishing and email investigations in Legendary OSINT. Explore curated resources for harvesting, payload analysis, and threat intelligence to enhance your investigations.

- Repository: [Henri/Legendary_OSINT](https://github.com/K2SOsint/Legendary_OSINT)
- Tags: how-to-guide
- Published: 2026-08-09

---

**Legendary OSINT curates specialized open-source intelligence resources for phishing and email investigations within its [`docs/phishing-email.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/docs/phishing-email.md) guide, organizing tools into three functional categories: harvesting, payload analysis, and threat intelligence.**

Legendary OSINT is a documentation-driven repository maintained by K2SOsint that catalogs OSINT resources by investigative domain. The repository's dedicated approach to **OSINT tools for phishing and email investigations** provides security professionals with a structured reference for identifying malicious email campaigns and analyzing phishing artifacts. Located at `K2SOsint/Legendary_OSINT`, the project organizes resources into functional categories within dedicated markdown files in the `docs/` directory.

## OSINT Tools for Email Harvesting and Enumeration

The [`docs/phishing-email.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/docs/phishing-email.md) file details several tools designed to locate and enumerate email addresses across public sources.

**theHarvester** serves as a command-line utility to search public sources for email addresses associated with target domains. As implemented in the repository's recommendations, this tool aggregates data from search engines, PGP servers, and social networks to build comprehensive contact lists.

**Maltego** provides graphical link analysis capabilities, transforming single email addresses into networks of associated domains, usernames, and social media profiles. This visualization capability helps investigators map the infrastructure surrounding a phishing campaign.

**Hunter.io** specializes in corporate email pattern discovery, enabling analysts to deduce naming conventions and validate addresses within specific organizations. This tool proves particularly valuable when investigating business email compromise (BEC) scenarios.

## OSINT Tools for Phishing Payload Analysis

For dissecting delivered phishing artifacts, Legendary OSINT recommends specialized analysis platforms that extract indicators of compromise (IOCs) from malicious content.

**PhishTool** automates the extraction of URLs, indicators, and screenshots from phishing kits and email attachments. This platform streamlines the analysis of phishing emails by parsing email headers and body content to identify malicious infrastructure.

**Viper-PDF** focuses specifically on malicious PDF document inspection, revealing embedded links, JavaScript scripts, and other active content that threat actors commonly use in email-based attacks. This tool is essential when analyzing phishing campaigns that utilize document-based payloads.

**URLScan.io** generates detailed behavioral reports on suspicious URLs, capturing final redirects, page screenshots, and network activity. According to the repository's implementation examples, this service provides JSON-based API access for automated analysis workflows.

## OSINT Tools for Email Threat Intelligence

The repository catalogs services that validate the trustworthiness of observed email artifacts through reputation scoring and blacklist correlation.

**EmailRep.io** queries reputation scores for specific email addresses, returning JSON data containing `reputation` scores, `suspicious` flags, and associated tags such as `spam` or `phishing`. This service enables automated risk assessment during triage operations.

**Spamhaus** provides access to widely-used blacklist feeds that identify known malicious email addresses and sending domains. Integration with these feeds allows investigators to determine if observed artifacts appear on industry-standard threat lists.

**AbuseIPDB** and similar threat intelligence feeds correlate email-related indicators with broader threat data, connecting email investigations to IP reputation and network infrastructure analysis. These correlations help identify the hosting infrastructure behind phishing campaigns.

## Repository Structure and Navigation

The **architectural layout** of Legendary OSINT facilitates easy extension and adaptation of tool lists across investigative domains.

The **top-level `docs/` folder** contains a dedicated markdown file per investigative niche, including [`phishing-email.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/phishing-email.md), [`search-engines.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/search-engines.md), and [`malware-cti.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/malware-cti.md). Each document follows a consistent structure featuring introductory paragraphs, categorized tool tables, and optional implementation snippets.

Links within the repository point directly to external tool documentation, enabling readers to access official usage guides immediately. Because the repository is purely documentation-driven, the tooling recommendations remain **framework-agnostic**—compatible with terminal invocation, Python scripting, or automated playbooks using Ansible or PowerShell.

## Practical Implementation Examples

The following ready-to-run snippets demonstrate how to leverage three common tools referenced in [`docs/phishing-email.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/docs/phishing-email.md).

### Harvesting Email Addresses with theHarvester

```bash

# Install theHarvester via pip (if not already installed)

pip install theharvester

# Search for email addresses associated with a target domain

theHarvester -d example.com -b google -l 100 -v

```

**Result:** A list of discovered email addresses, hostnames, and related URLs suitable for piping into further analysis pipelines or Maltego transforms.

### Querying Email Reputation via EmailRep.io

```python
import requests

def get_email_rep(email):
    url = f"https://emailrep.io/{email}"
    resp = requests.get(url)
    if resp.status_code == 200:
        return resp.json()
    else:
        return {"error": "Unable to fetch data"}

info = get_email_rep("phisher@example.com")
print(info)

```

**Result:** JSON output containing `reputation` scores, `suspicious` boolean flags, and classification tags that enable automated threat triage.

### Analyzing Phishing URLs with URLScan.io

```bash

# First, obtain a free API key from https://urlscan.io/user/api/ and set it as an env var

export URLSCAN_API_KEY="YOUR_API_KEY"

# Submit a URL for scanning

curl -X POST "https://urlscan.io/api/v1/scan/" \
     -H "API-Key: $URLSCAN_API_KEY" \
     -H "Content-Type: application/json" \
     -d '{"url":"http://malicious.example/phish"}' | jq '.uuid'

# Retrieve the results (replace <UUID> with the returned value)

curl "https://urlscan.io/api/v1/result/<UUID>/" | jq .

```

**Result:** A detailed JSON report containing final redirects, page screenshots, extracted domains, and detected malware signatures suitable for IOC extraction.

## Summary

- **Legendary OSINT** organizes phishing and email investigation tools within [`docs/phishing-email.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/docs/phishing-email.md), categorizing resources into harvesting, analysis, and intelligence functions.
- The repository includes **theHarvester**, **EmailRep.io**, and **URLScan.io** for comprehensive email enumeration, reputation checking, and URL analysis workflows.
- The documentation-driven architecture in the `docs/` folder ensures framework-agnostic implementation across terminal, Python, or automated playbook environments.
- Complementary files such as [`docs/search-engines.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/docs/search-engines.md) and [`docs/malware-cti.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/docs/malware-cti.md) provide contextual support for deeper investigations.

## Frequently Asked Questions

### Where are the phishing and email OSINT tools documented in Legendary OSINT?

The primary documentation resides in [`docs/phishing-email.md`](https://github.com/K2SOsint/Legendary_OSINT/blob/main/docs/phishing-email.md) within the repository root. This file contains categorized lists of tools for email harvesting, payload analysis, and threat intelligence, alongside brief descriptions and use-case guidance.

### What categories of email investigation tools does the repository include?

Legendary OSINT organizes these tools into three functional categories: **Email Harvesting & Enumeration** (theHarvester, Maltego, Hunter.io), **Phishing Payload Analysis & Detection** (PhishTool, Viper-PDF, URLScan.io), and **Email Threat Intelligence & Reputation** (EmailRep.io, Spamhaus, AbuseIPDB).

### How can I automate the OSINT tools listed in the repository?

The repository provides framework-agnostic documentation supporting multiple automation approaches. You can invoke tools like theHarvester via bash scripts, integrate EmailRep.io using Python requests as shown in the examples, or incorporate URLScan.io API calls into automated playbooks using Ansible or PowerShell.

### Are the tools recommended in Legendary OSINT free and open-source?

Many tools listed, such as **theHarvester** and **URLScan.io** (which offers a free tier), are open-source or provide free access options. However, some services like **Hunter.io** and **Maltego** offer both free limited tiers and paid enterprise features, with the repository linking to official documentation for specific licensing details.