Black Hat Python: Python Programming for Hackers and Pentesters

Seitz, Justin

ISBN 10: 1593275900 / ISBN 13: 9781593275907

Verlag: No Starch Press, 2014

Beschreibung

LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages.

Bestandsnummer des Verkäufers 350318

Bibliografische Details

• Titel: Black Hat Python: Python Programming for Hackers and Pentesters
• Verlag: No Starch Press
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 1593275900
• ISBN-13: 9781593275907
• Einband: paperback
• Zustand: Fine

Über diesen Titel

Inhaltsangabe

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 com­mon 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

Über die Autorin bzw. den Autor

Justin Seitz is a senior security researcher for Immunity, Inc., where he spends his time bug hunting, reverse engineering, writing exploits, and coding Python. He is the author of Gray Hat Python (No Starch Press), the first book to cover Python for security analysis.