Social Analyzer

Social Analyzer is a versatile OSINT tool offering an API, CLI, and web interface for analyzing and locating individuals across a vast network of social media platforms (+1000 websites).

Key features include:

• String & Name Analysis: Employs permutations and combinations for thorough analysis.
• Multi-Technique Profile Finding: Utilizes both HTTPS libraries and web drivers for profile detection.
• Multi-Profile Search: Enables correlation analysis by searching multiple profiles simultaneously.
• Multi-Layered Detections: Incorporates OCR, normal, advanced, and special detection methods.
• Metadata Extraction: Extracts metadata and patterns for in-depth analysis.
• Force-Directed Graph: Visualizes metadata for enhanced understanding (requires pattern extraction).
• Ranking and Type-Based Search: Allows searching by top ranking or website type.
• Profile Statistics: Provides static information such as category and country.
• Cross-Metadata Statistics: Offers insights through cross-metadata analysis.
• Automated Output Filtering: Streamlines output by filtering unnecessary information.
• Search Engine Lookup: Integrates with Google API and DuckDuckGo API (optional).
• Profile Information Capture: Captures screenshots, titles, information, and website descriptions.
• Name Analysis: Identifies name origins, similarities, and common words by language.
• Age Estimation: Estimates possible age ranges (limited analysis).
• Customizable Settings: Supports custom user-agents, proxies, timeouts, and implicit waits.
• CLI Support: Offers both Python and NodeJS CLI interfaces.
• Screenshot Capture: Automatically takes screenshots of detected profiles.
• Grid Option: Enables faster checking using Docker Compose.
• Detailed Logging: Dumps logs to folders or the terminal with prettified output.
• Adjustable Workers: Allows adjusting the number of workers for finding and getting profiles.
• Profile Filtering: Filters profiles based on quality (good, maybe, bad).
• JSON Output: Saves analysis results as JSON files.

Use cases include investigating suspicious online activities like cyberbullying, cyber grooming, cyberstalking, and misinformation campaigns.