This is a simple guide to perform javascript recon in the bugbounty
- The first step is to collect possibly several javascript files (
more files
=more paths,parameters
->more vulns
)
Open up browser console, for Chrome, hit F12 and copy-paste and enter this | |
$("a").filter(function(index){return $(this).text()==="unsave"}).click();setTimeout(function(){location.reload();},500); | |
Repeat until all items are unsaved. |
/*** MIT LICENSE | |
Copyright (c) 2022 torcado | |
Permission is hereby granted, free of charge, to any person | |
obtaining a copy of this software and associated documentation | |
files (the "Software"), to deal in the Software without | |
restriction, including without limitation the rights to use, | |
copy, modify, merge, publish, distribute, sublicense, and/or sell | |
copies of the Software, and to permit persons to whom the | |
Software is furnished to do so, subject to the following |
# $OpenBSD: pf.conf,v 1.52 2013/02/13 23:11:14 halex Exp $ | |
# | |
# See pf.conf(5) for syntax and examples. | |
# | |
# Remember to set net.inet.ip.forwarding=1 and/or net.inet6.ip6.forwarding=1 | |
# in /etc/sysctl.conf if packets are to be forwarded between interfaces. | |
### Macros | |
# system |
#!/bin/bash | |
# reset jetbrains ide evals v1.0.4 | |
OS_NAME=$(uname -s) | |
JB_PRODUCTS="IntelliJIdea CLion PhpStorm GoLand PyCharm WebStorm Rider DataGrip RubyMine AppCode" | |
if [ "$OS_NAME" == "Darwin" ]; then | |
echo 'macOS:' | |
for PRD in $JB_PRODUCTS; do |
A complete list of books, articles, blog posts, videos and neat pages that support Data Fundamentals (H), organised by Unit.
If the resource is available online (legally) I have included a link to it. Each entry has symbols following it.
(Internal Tranining Material)
Usually the first step in performance optimization is to do profiling, e.g. to identify performance hotspots of a workload. This gist tells basic knowledge of performance profiling on PyTorch, you will get:
This tutorial takes one of my recent projects - pssp-transformer as an example to guide you through path of PyTorch CPU peformance optimization. Focus will be on Part 1 & Part 2.
// ==UserScript== | |
// @name View Image | |
// @namespace https://github.com/bijij/ViewImage | |
// @version 3.7.0.13 | |
// @description Re-implements the Google Images' "View Image" and "Search by Image" buttons. | |
// @author Joshua B | |
// @icon data:image/png;base64,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 |