Quote from: unisbank1000 on September 10, 2018, 07:07:35 AM

Apakah sekarang membuat akun di forum bitcointalk.org harus membayar ?
soalnya saya coba buat akun baru tapi di disabled posting dan untuk enable post harus bayar terlebih dahulu

Itu artinya IP address yang anda gunakan saat mendaftar terkena Proxyban. Silahkan coba dengan menggunakan IP address yang lain.
(Rata-rata untuk IP address yang didapat dari provider internet Indonesia menggunakan dynamic IP).

Mengenai proxyban, mungkin informasi berikut ini bisa dijadikan referensi pengetahuan:
All Internet evil, mapped: evil score visualization 2

Quote from: theymos on May 21, 2018, 10:40:38 PM

I did this back in 2015, but I wanted to update it. I used exactly the same mapping code as last time.

When someone is banned, their IP and some of their neighboring IPs receive evil points. Here I've created a map of the IPv4 Internet according to evil points. Currently, IPv6 is mapped into the 240.0.0/4 range, which is the large square taking up the top-right sixteenth of the chart. (I'm not sure yet whether IPv6 is actually disproportionately evil, or if I'm just cramming too many people into that address-space. Probably the latter is at least something of a factor, since 9% of traffic is IPv6 but 6% of this address-space is IPv6.)

Here's the image (zoom in):
https://bitcointalk.org/banmap201805.png

For comparison, here's the one from 2015:
https://bitcointalk.org/banmap201510.png

Each pixel is a /24 address block (ie. each pixel represents 256 IP addresses). The colors are:
█ Zero or nearly zero evil
█ A small amount of evil
█ More
█ More
█ At this point you actually have to pay if you register an account in this block
█ More
█ More
█ More
█ Pretty high
█ A ton of evil, more than anyone is likely to pay

This is per block, so a single IP address could have an evil score requiring payment while its block still shows up as black here. A colored pixel indicates the evil score of a typical IP in that block.

Addresses are laid out in the standard way. So you can for example cross-reference with these maps: https://ant.isi.edu/address/

A /24 should almost never uniquely identify someone, but to be safe I randomly added, removed, and modified some of this data for plausible deniability.