Alfred is a user-friendly tool designed to discover usernames across various websites, similar to Sherlock. It is successful about 80% of the time and was created to assist new programmers or pentesters in the field of OSINT.
Alfred, a tool with a 90% success rate, has gained attention in the cybersecurity and programming communities. Optimized for Python 12, it's designed to be user-friendly for all levels of programming expertise. However, the developer offers no guarantees and disclaims responsibility for any malicious actions or consequences from its use.
Alfred is optimized for Python 3.12 and contributions are welcomed through pull requests.
The app is created by Jeffrey Montanari, a software engineer with an eye for OSINT.
Features
- User-friendly and straightforward user interface
- Discovers usernames from input across different websites
- Modular design
- Fast scan support
- 80% success rate in discovering user accounts
- Open-source tool developed by a community
- Supports http, socks4, socks5
- Download results as webpage
- Created to assist new programmers and pentesters in the field of OSINT
- Continually improving for better performance
- Optimized for Python 3.12
- Open for contributions through fork and pull requests
- Checks Accounts From A List
- Generates Random Sites And Tests Them
- Points NSFW Sites
Platforms
- Windows
- Linux
- macOS
- Android (Termux)
- iPhone/ Ish
License
- MIT License
Resources & Downloads
GitHub - Alfredredbird/alfred: Alfred is a advanced OSINT information gathering tool that finds social media accounts based on inputs.
Alfred is a advanced OSINT information gathering tool that finds social media accounts based on inputs. - Alfredredbird/alfred
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