wget -qO- https://ip-ranges.amazonaws.com/ip-ranges.json | jq '.prefixes[] | if .region == "us-east-1" then .ip_prefix else empty end' -r | head -3 |
<?php | |
$targets = array_unique(explode("\n",file_get_contents("posts.targets"))); | |
$user_agent = 'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:47.0) Gecko/20100101 Firefox/47.0'; | |
foreach ($targets as $key => $url_target) { | |
#REQUEST PEGANDO ID | |
exec("curl -kg --user-agent '{$user_agent}' '{$url_target}'>tmp"); | |
#GREP ID |
ID | Test name | Domain | Owasp API Top Ten | |
---|---|---|---|---|
1 | Test user enumeration (if applicable) | Authorization | A1, A3 | |
2 | Exploit vulnerabilities to gain unauthorized access | Authorization | A2 | |
3 | Transmission of sensitive information (token, credentials, etc.) in an insecure manner | Integrity/Confidentiality | A1 | |
4 | Test for specific data entry vulnerabilities | Data validation | A8 | |
5 | Perform fuzzing on all request parameters (sending malicious information, for example) | Data validation | A8 | |
6 | Test for injection vulnerabilities (SQLi, LDAP, XML, Xpath, XXE if applicable) | Data validation | A8 | |
7 | Testing for buffer overflow vulnerabilities | Data validation | A8 | |
8 | Test for logic failures (if applicable) | Data validation | A6 | |
9 | Test how the application behaves by receiving incomplete information | Data validation | A6 |
#! /usr/bin/env python | |
# how to unfollow everyone who isn't following you | |
# By Jamieson Becker (Public Domain/no copyright, do what you will) | |
# Easy instructions, even if you don't know Python | |
# | |
# 1. Install pip (apt-get install python-pip) and then | |
# pip install tweepy, which is the python twitter client | |
# |
Many different applications claim to support regular expressions. But what does that even mean?
Well there are lots of different regular expression engines, and they all have different feature sets and different time-space efficiencies.
The information here is just copied from: http://regular-expressions.mobi/refflavors.html
#!/usr/bin/env bash | |
# CVE-2019-11253 | |
# https://github.com/kubernetes/kubernetes/issues/83253 | |
# Shout out: @raesene for poc collab, @iancoldwater + @mauilion for | |
# HONKing inspiration and other guidance. | |
# Description: In Kubernetes 1.13 and below, the default configuration | |
# is that system:anonymous can request a selfsubjectaccessreview | |
# via mechanisms such as "kubectl auth can-i". This request can | |
# include POSTed YAML, and just the act of trying to parse it causes |
Resource | Description |
---|---|
Kube Academy | https://kube.academy/ |
kuernetes-101 | https://kube.academy/courses/kubernetes-101/ |
Docs Home | https://kubernetes.io/docs/home/ |
CKS CKA CKAD Simulator | https://killer.sh/ |
udemy | https://www.udemy.com/topic/certified-kubernetes-administrator-cka/ |
dev.to | https://dev.to/liptanbiswas/ckad-practice-questions-4mpn |
this is a rough draft and may be updated with more examples
GitHub was kind enough to grant me swift access to the Copilot test phase despite me @'ing them several hundred times about ICE. I would like to examine it not in terms of productivity, but security. How risky is it to allow an AI to write some or all of your code?
Ultimately, a human being must take responsibility for every line of code that is committed. AI should not be used for "responsibility washing." However, Copilot is a tool, and workers need their tools to be reliable. A carpenter doesn't have to
spawnto | |
https://raw.githubusercontent.com/kphongagsorn/c2-profiles/29fe50eaad655ddd0028fca06a9c7785e3ffaf41/amazon.profile | |
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