FAVICORN : A Comprehensive Tool For Favicon-Based Website Searches

Favicorn is an innovative tool designed to search websites by their favicons, offering a unique approach to online exploration and cybersecurity research.

By leveraging favicon data, Favicorn provides search result links across multiple platforms, making it a powerful resource for OSINT (Open Source Intelligence) investigations.

How Favicorn Works

Favicorn operates by taking a favicon (a small icon associated with a website) and generating search results across 10 platforms. Users can interact with Favicorn in three primary ways:

1. Direct Favicon URL Search: Use the --uri or -u option to input a specific favicon URL.

   ./favicorn.py -u https://emojipedia.org/images/favicon-32x32.png

2. File-Based Search: Upload a favicon file using the --file or -f option.

   ./favicorn.py -f test-favicon.png

3. Domain-Based Search: Enter a domain name, and Favicorn will resolve its IPs and identify potential favicons using the --domain or -d option.

   ./favicorn.py -d google.com

Favicorn includes several advanced options to enhance functionality:

• Verbose Mode: Displays favicon hashes during searches (--verbose).
• Extended Search: Retrieves additional favicon versions via search engines (--add-from-search-engines).
• Save Results: Exports links to a file (--save-links-filename).
• TinyURL Integration: Converts full platform links into TinyURLs (--tinyurl).
• Customizable Output: Disable result previews (--no-fetch) or animations (--no-logo).

Favicorn supports various platforms, including:

• ZoomEye (login required)
• Shodan (API key required)
• Fofa, VirusTotal, BinaryEdge, Netlas, and more.

Favicorn is particularly useful for:

• Identifying phishing domains for brand protection.
• Expanding the scope of penetration testing.
• Detecting command-and-control (C2) servers used by hackers.
• Conducting broader research in cybersecurity and OSINT.

Favicorn is an open-source project supported by an active OSINT community. Contributions, bug fixes, and feature suggestions are encouraged.

By dropping a star on the GitHub repository, users can help prioritize new features like automated scraping.

Favicorn is not just another tool—it’s a gateway to deeper web insights through the lens of favicons.