Discovering the Dark Web

For all the amazing technological innovations in the anonymity and privacy space, there is always a constant threat that has no effective technological patch - human error.

Whether it is operational security leaks or software misconfiguration - most often attacks on anonymity don't come from breaking the underlying systems, but from ourselves.

OnionScan has two primary goals:

• We want to help operators of hidden services find and fix operational security issues with their services. We want to help them detect misconfigurations and we want to inspire a new generation of anonymity engineering projects to help make the world a more private place.
• Secondly we want to help researchers and investigators monitor and track Dark Web sites. In fact we want to make this as easy as possible. Not because we agree with the goals and motives of every investigation force out there - most often we don't. But by making these kinds of investigations easy, we hope to create a powerful incentive for new anonymity technology (see goal #1)

OnionScan Reports

Supporters & Contributors

The hosting of this site and all OnionScan Infrastructure is generously supported by our patrons. If you would like to support OnionScan research and development you can do so at Patreon - Backers get access to exclusive reports and pre-releases of research. We would like to say a big thank you to:

• Zaki Manian
• Dan Ballard
• CJ
• Lennie Budgell
• Joshua Opolko
• Dave Warren
• MOVRCX X64 EDITION
• Mikey
• gnujedi
• Jack Grigg
• All backers who have chosen to support anonymously

Much of OnionScan would not exist today without the work of contributors, writing code to make OnionScan more useful, more efficient and more usable. A list of contributors can be found on Github

Like all software, OnionScan may contain bugs or vulnerabilities. Because it is still in early stages of development, caution is recommended before using OnionScan in high-risk environments. Ultimately, everyone uses OnionScan at their own risk.

OnionScan is developed by Sarah Jamie Lewis and is released under an MIT License.