DeepSearch is a powerful Python-based OSINT utility that leverages Google's advanced search operators to perform comprehensive digital footprint analysis. The tool automates the process of gathering publicly available information about individuals across multiple platforms using customized search queries.

• Automates Google Dorking: Systematically applies 25+ advanced search operators

• Multi-Platform Intelligence: Searches across social media, documents, forums, and more

• Customizable Investigations: Allows selective operator targeting based on investigation needs

• Browser Automation: Optionally opens all search results in browser tabs

• Report Generation: Saves all search URLs for later analysis

• Professional Interface: Color-coded console output with real-time progress tracking

• Digital Footprint Analysis: Maps an individual's online presence across platforms

• Threat Intelligence: Identifies potential security risks from exposed information

• Attack Surface Mapping: Discovers publicly accessible personal/business data

• Pre-engagement Reconnaissance: Gather target information before security assessments

• Social Engineering Preparation: Identify personal details for security awareness testing

• Password Policy Testing: Discover potentially exposed personal information used in passwords

• Insider Threat Detection: Monitor for unauthorized information sharing

• Brand Protection: Identify impersonation accounts or intellectual property theft

• Digital Risk Protection: Discover exposed credentials or sensitive documents

• Data Breach Investigations: Find leaked corporate documents or credentials

• Attribution Analysis: Gather intelligence on threat actors

• Compromise Assessment: Identify what information is publicly available about key personnel

• Employee Training: Demonstrate digital footprint risks to staff

• Privacy Audits: Help individuals understand their online exposure

• Policy Development: Inform social media and information sharing policies

• Python 3.6 or higher
• pip (Python package manager)

pip install colorama

• Windows 10/11
• macOS 10.14+
• Linux (Ubuntu, Kali, etc.)

Manual Installation via the link below:

https://gist.github.com/techenthusiast167/eccc7f09284de678a4af6340eb4253b7

Tool Installation Process

• Open the link, copy the tool’s script and paste it in nano > nano deepsearch.py

• Press Ctrl + O, Enter, and Ctrl + X to save and exit.

pip install colorama

python deepsearch.py

Basic Operation

• Launch the tool: python deepsearch.py

• Enter target username when prompted

• Choose browser automation preference Select search operators (comma-separated or 'all')

• Review generated URLs and let tool open browser tabs

• Save results for documentation

Advanced Features

• Operator Customization: Mix and match from 25 specialized search operators

• Batch Processing: Save URLs for multiple investigation sessions

• Selective Targeting: Focus on specific platform types (social, documents, etc.)

Social Media Platforms (1-10)

• Facebook, Twitter, Instagram, LinkedIn, GitHub

• Reddit, YouTube, TikTok, Pinterest, Telegram Document Search (11-15)

• PDF, Word Documents, Excel Files,

• Presentations, Text Files

Advanced OSINT Techniques (16-25)

• In-Text, In-URL, In-Title searches Email Patterns, Phone Numbers, Resume/CV searches

• Location Data, Forum Profiles, Blog Mentions

Permitted Uses

• Security research and penetration testing (with permission)

• Personal digital footprint analysis Corporate security assessments (authorized)

• Law enforcement investigations (legal) Journalistic research and verification

• Harassment or stalking

• Unauthorized data collection

• Illegal surveillance

• Identity theft or fraud

• Violating platform terms of service

D4rk_Intel - Security Researcher & OSINT Specialist

Twitter: x.com/D4rk_Intel