Viser: Black Hat Python - Python Programming for Hackers and Pentesters

Black Hat Python - Python Programming for Hackers and Pentesters

Black Hat Python

Python Programming for Hackers and Pentesters
Justin Seitz
(2014)
Sprog: Engelsk
No Starch Press, Incorporated
379,00 kr.
Bestil nu og få den leveret inden for 2-3 hverdage

Detaljer om varen

  • Paperback: 192 sider
  • Udgiver: No Starch Press, Incorporated (December 2014)
  • ISBN: 9781593275907
When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. But just how does the magic happen? In Black Hat Python, the latest from Justin Seitz (author of the best-selling Gray Hat Python), you ll explore the darker side of Python s capabilities writing network sniffers, manipulating packets, infecting virtual machines, creating stealthy trojans, and more. You ll learn how to: Create a trojan command-and-control using GitHub Detect sandboxing and automate comèmon malware tasks, like keylogging and screenshotting Escalate Windows privileges with creative process control Use offensive memory forensics tricks to retrieve password hashes and inject shellcode into a virtual machine Extend the popular Burp Suite web-hacking tool Abuse Windows COM automation to perform a man-in-the-browser attack Exfiltrate data from a network most sneakily Insider techniques and creative challenges throughout show you how to extend the hacks and how to write your own exploits. When it comes to offensive security, your ability to create powerful tools on the fly is indispensable. Learn how in Black Hat Python. Uses Python 2
Introduction
Chapter 1: Setting Up Your Python Environment
Chapter 2: The Network: Basics
Chapter 3: The Network: Raw Sockets and Sniffing
Chapter 4: Owning the Network with Scapy
Chapter 5: Web Hackery
Chapter 6: Extending Burp Proxy
Chapter 7: GitHub Command and Control
Chapter 8: Common Trojaning Tasks on Windows
Chapter 9: Fun With Internet Explorer
Chapter 10: Windows Privilege Escalation
Chapter 11: Automating Offensive Forensics Index

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