This is a tool for IPv6 address pattern mining by learning the distribution of known active addresses. Its idea is introduced in the paper "6Graph: A Graph-Theoretic Approach to Address Pattern Mining for Internet-wide IPv6 Scanning".

1. python 3.6 or higher version
2. numpy 1.21.2 or higher version
3. IPy 1.1 or higher version
4. networkx 2.6.2 or higher version

Please convert your IPv6 seeds to numpy binary file. We recommend the works of Gasser et al for the seeds : IPv6 Hitlist.

For example:

2001:12f0:700:20::67
2001:12f0:700:f000::40
2001:12f0:700:f000::59

To

[
    [ 2  0  0  1  1  2 15  0  0  7  0  0  0  0  2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  6  7]
    [ 2  0  0  1  1  2 15  0  0  7  0  0 15  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  4  0]
    [ 2  0  0  1  1  2 15  0  0  7  0  0 15  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  5  9]
]

Make sure the file name of seeds is seeds

Using:

    python convert.py

6Graph can automatically mine high-density IPv6 regions and display them.

Using:

    python main.py

Use those "high-quality" address regions for IPv6 scanning with your choose tools. We recommend using Zmap.