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The Advanced IP Analyzer Tool is an asynchronous, high-performance IP intelligence framework designed to extract comprehensive insights about any IP address. Created to empower cybersecurity analysts, digital forensics experts, and network administrators, this tool delivers detailed reports using data from global intelligence sources — all in real time.

Key Features

1. Geolocation Analysis: Instantly pinpoint the physical origin of any IP address, retrieving:

• Country, city, region

• Timezone and GPS coordinates

2. DNS Record Retrieval: Get full visibility into DNS configurations:

• Supports A, AAAA, MX, NS, TXT, PTR, and SOA records

• DNS mapping for infrastructure profiling

3. WHOIS Data Extraction: Uncover domain registration insights:

• Organization names, registrar info, contact emails

• Creation/expiry dates and hosting providers

4. Security Intelligence Integration: Integrated with leading threat intelligence APIs:

• AbuseIPDB for blacklisting status

• VirusTotal for malware associations

• Shodan for exposed services and vulnerabilities

5. Multi-format Export Options: Generate detailed reports in:

• JSON

• CSV

• HTML (for sharing or archiving)

6. Asynchronous & Fast: Built with aiohttp, this tool fetches from multiple APIs concurrently for rapid results — even during large-scale scanning operations.

7. Beautiful Console Output: Formatted with the rich library for clean and visually appealing CLI results.

Technical Stack & Dependencies

• aiohttp: Asynchronous HTTP requests

• dnspython: Powerful DNS query toolkit

• python-whois: WHOIS record parsing

• requests: API communication

• rich: CLI rendering & formatting

For a full list, view the requirements.txt.

Use Case Scenarios

• Cybersecurity Investigations: Quickly determine if an IP is involved in malicious behavior.

• Threat Intelligence Gathering: Collect evidence on suspicious connections or unknown access attempts.

• Network Forensics: Map digital infrastructure during incident response.

• Penetration Testing Support: Enrich your red team assessments with real-time footprinting data.

Project Goals

The aim of this project was to consolidate scattered IP analysis techniques into one robust, asynchronous CLI tool. By integrating public threat intelligence APIs and enabling multi-format exports, Advanced IP Analyzer Tool streamlines the process of IP investigation from minutes to seconds.

🔗 Explore the GitHub Project

Whether you’re a blue team defender, red team tester, or tech enthusiast — this tool will level up your digital investigation capabilities.

In a world where digital identity plays a crucial role in both security and personal branding, email addresses are often the first point of investigation. Whether it’s for cybersecurity audits, HR screening, or digital forensics, extracting actionable insights from an email address can uncover valuable intelligence.

That’s why I built Sherlock Mail – a powerful AI-powered email analysis and OSINT tool that delivers deep, actionable insights from any public email address.

👉 Project Repository:
🔗 GitHub – Sherlock Mail: AI-Powered Email Intelligence

What is Sherlock Mail?

Sherlock Mail is a comprehensive email intelligence tool that gathers, analyzes, and presents publicly available data related to any email address. It’s designed for:

• Cybersecurity analysts

• HR professionals

• Digital investigators

• Red teamers and OSINT researchers

Built using Python and OSINT principles, Sherlock Mail operates without API keys or paid services, making it an efficient and privacy-conscious intelligence-gathering tool.

Core Features & Capabilities

Personal Information Analysis

• Extracts names and patterns from email handles

• Estimates birth years and potential demographics

• Analyzes language usage patterns

• Provides professional background context where possible

Domain Intelligence

• Detects domain age and registration details

• Analyzes domain reputation and trustworthiness

• Retrieves SPF, DMARC, and MX records to assess email deliverability and security

• Gathers organizational affiliations tied to the domain

Digital Footprint Analysis

• Checks against multiple data breach databases

• Performs risk-level evaluation based on historical and leaked data

• Assesses public exposure and potential vulnerabilities

Social Media Discovery

• Scans 15+ platforms for associated social profiles (e.g., LinkedIn, Twitter, GitHub)

• Analyzes bios, descriptions, and public interactions

• Detects connection patterns and digital behavior trends

Technical Presence Detection

• Identifies user presence on developer platforms (e.g., GitHub, GitLab)

• Searches open-source package registries (e.g., npm, PyPI)

• Detects participation in forums and technical communities

Security & Ethical Compliance

• 🚫 No private data collection or storage

• ✅ Uses only publicly available OSINT sources

• ⚖️ Fully respects platform policies and legal regulations

• 🧾 No API keys required – everything is handled via direct lookups or rate-limited endpoints

• 🔒 Data is processed securely and never logged or tracked

Technologies Used

• Python 3.11+ – Core development language

• Regex & Pattern Matching – For extracting metadata

• DNS & WHOIS Libraries – Domain intelligence

• BeautifulSoup / Requests – Web scraping and HTML parsing

• Colorama / Rich – Enhanced CLI experience

• Multi-threading – Fast performance for larger scans

Use Cases

• Cybersecurity Investigations – identify compromised accounts or suspicious actors

• Digital Recruitment – pre-screen candidates by assessing their email activity and social presence

• Threat Analysis – evaluate risk levels from suspicious emails

• Red Team Operations – gain context during OSINT reconnaissance

• Brand Protection – assess fake or impersonating domains tied to email addresses

Why Sherlock Mail?

Sherlock Mail stands out as a lightweight, open-source, no-dependency OSINT tool for email analysis. Unlike many paid services, it provides a completely transparent, configurable, and privacy-respecting solution for digital intelligence gathering.

Whether you’re protecting your organization, investigating suspicious activity, or conducting responsible reconnaissance, Sherlock Mail brings automation, speed, and clarity to the email intelligence process.

Try It Now

Curious to see how it works or want to contribute?
Explore the codebase, fork the project, and see Sherlock Mail in action:

👉 GitHub – Sherlock Mail: Advanced Email OSINT Tool

In today’s hyper-connected digital age, understanding someone’s online presence can be crucial for cybersecurity, threat analysis, reputation management, and digital investigations. As part of my cybersecurity toolkit development efforts, I built an open-source, Python-powered OSINT (Open Source Intelligence) tool designed to analyze and map an individual’s digital footprint across a wide range of platforms.

👉 Project Repository:
Digital Footprint OSINT Tool on GitHub

About the Project

The Digital Footprint OSINT Tool is a powerful reconnaissance utility designed for ethical hackers, digital forensics experts, penetration testers, and researchers. It automates the process of discovering a user’s online identity spread across social media platforms, domain records, and contact points, all while respecting legal and ethical guidelines.

The tool is developed in Python, emphasizing efficiency, modularity, and cross-platform compatibility. It’s built with multi-threading, smart rate-limiting, and output clarity in mind, ensuring both performance and usability.

Key Features

• 🌐 Multi-Platform Detection
  Identify a user’s presence across 20+ major platforms, including GitHub, Instagram, Twitter/X, Reddit, Facebook, LinkedIn, TikTok, and more.

• 🔄 Username Variation Checker
  Automatically checks for multiple variations of usernames: hamed_esam, hamed.esam, hamed-esam, etc.

• 📧 Contact Discovery
  Extracts potential email addresses, phone numbers, and contact info from social bios and WHOIS records.

• 🌍 Domain Intelligence
  Detects registered domains using popular TLDs like .com, .net, .io, .org, .me, and .dev.

• 🚀 Multi-threaded Scanning
  Fast execution with multi-threading and customizable thread limits for scalability.

• 🛡️ Rate Limiting & User-Agent Rotation
  Implements intelligent rate limiting and rotates user agents to avoid detection and reduce API blocks.

• 📊 Detailed Progress & Results Output
  Colorized terminal interface with real-time status updates, results summaries, and easy-to-read logs.

Supported Platforms

The tool supports footprint scanning across many platforms, such as:

• GitHub, LinkedIn, Twitter/X, Instagram, Reddit, Facebook, TikTok, Pinterest

• YouTube, Medium, SoundCloud, Steam, Behance, DeviantArt, Twitch, Vimeo, Spotify, Telegram

This allows users to assess a person’s digital presence with a broad, platform-wide perspective.

Advanced Functionalities

Name Variations Generator

Automated testing of username formats increases detection accuracy:

• Original: hamedesam

• Dotted: hamed.esam

• Underscored: hamed_esam

• Hyphenated: hamed-esam

Domain & WHOIS Analysis

Scans across key domain extensions and performs WHOIS lookups to extract:

• Registrant emails

• Phone numbers

• Company names (if available)

Contact Patterns

The tool uses regex-based pattern recognition to identify:

• Email addresses

• Phone numbers

• Social bio links

Ethical Usage Disclaimer

This project is intended strictly for ethical research and educational use. Users must:

• Obtain proper authorization before scanning or investigating individuals

• Follow all legal guidelines, privacy laws, and platform terms of service

• Never use this tool for malicious purposes, harassment, or stalking

The project includes a built-in disclaimer, and the GitHub repository emphasizes responsible usage practices.

Technologies Used

• Python (Core scripting)

• Requests / Asyncio (Networking)

• Colorama (Enhanced terminal output)

• Regex (Pattern matching)

• WHOIS libraries for domain data

• Multi-threading for performance

Real-World Applications

• Cybersecurity Reconnaissance

• Threat Intelligence Gathering

• Red Teaming / Blue Teaming Exercises

• Brand & Reputation Monitoring

• Journalistic Research & Verification

Try the Tool

Want to test it out or contribute?
Check out the full source code, documentation, and usage examples on GitHub:

🔗 GitHub Repository – Digital Footprint OSINT Tool