jhaddix

.
..
........
@
*
*.*
*.*.*
🐎

Glamdring

domain,ttl,aaaa-ttl,cname-ttl,miltiple-ttls,ns-root,ns-ttl,a-count,aaaa-count,a-records,aaaa-records,ns-records,cname
facebook.com,300,300,,false,facebook.com,128517,1,1,"31.13.66.36","2a03:2880:f113:83:face:b00c:0:25de","a.ns.facebook.com.,b.ns.facebook.com.",
twitter.com,300,,,false,dynect.net,42239,4,0,"199.16.156.102,199.16.156.198,199.16.156.70,199.16.156.230","","ns1.p34.dynect.net.,ns3.p34.dynect.net.,ns4.p34.dynect.net.,ns2.p34.dynect.net.",
google.com,300,300,,false,google.com,128501,1,1,"216.58.209.14","2a00:1450:4017:803:0:0:0:200e","ns3.google.com.,ns4.google.com.,ns1.google.com.,ns2.google.com.",
youtube.com,300,300,,false,google.com,128505,1,1,"216.58.209.206","2a00:1450:4017:803:0:0:0:200e","ns3.google.com.,ns4.google.com.,ns1.google.com.,ns2.google.com.",
wordpress.org,600,,,false,wordpress.org,54943,2,0,"66.155.40.249,66.155.40.250","","ns4.wordpress.org.,ns3.wordpress.org.,ns1.wordpress.org.,ns2.wordpress.org.",
linkedin.com,300,300,,false,dynect.net,47775,1,1,"108.174.10.10","2620:109:c002:

PaulCher

#!/usr/bin/python

import re
import os
import sys
import socket
import threading
from time import sleep

from pwn import *

tylerkerr

#!/usr/bin/env python3

# toy RSA key generation/encryption/decryption
# this is only a demonstration of the underlying math - extremely unsafe!
# unmodified textbook RSA is both malleable and semantically insecure.

import subprocess
from gmpy import invert # requires gmpy for modular inversion

def ascii2int(string): # function for converting an ascii string to a single integer so that we can do math on it

aquynh

#!/usr/bin/python

import sys
from keystone import *
from unicorn import *
from unicorn.arm_const import *
from capstone import *
from capstone.arm import *
from capstone.x86 import *

IRC client in pure bash 4

#!/bin/bash

#no PATH, no way to accidently run any programs
PATH=''

#useful variables
term_height=0
term_width=0
term_scroll_height=0
status_line_row=0

vchollati

johnny5550822

Can you imagine a computer can generate an nba article?

The following is some nba articles fully-automatically generated by char-cnn, a recurrent-neural-network library thanks to Andrej Karpathy [link]. The library is awesome to easy, and very user-friendly. You should try it! :)

Basically, I wrote a python script [link] to extract past archives . And use that as the training set for the recurrent neural network.

The articles below are generated by a network trained with rougly about 2 millions character (which is an okay size; not big enough though). You can see that the generated article contains artificial author names, speeches, etc; similar to an nba archive (although the logic has to be improved, it is FUN.)

You can tune the parameter and train with a even bigger dataset using my script. And you will probably get better result! Have fun:)

echohack

ffmpeg -i input_file.mp4 -vf scale=320:-1:flags=lanczos,fps=30 frames/ffout%03d.png
convert -loop 0 frames/ffout*.png output_file.gif

maraoz

OP_DEPTH 3 OP_EQUAL
OP_IF
  OP_HASH160 <hash160(R)> OP_EQUALVERIFY
  OP_0 2 <AlicePubkey1> <BobPubkey1> 2 OP_CHECKMULTISIG
OP_ELSE
  OP_0 2 <AlicePubkey2> <BobPubkey2> 2 OP_CHECKMULTISIG
OP_END