Black Hat Python, 2nd Ed (No Starch)
Wednesday, 05 May 2021

Subtitled "Python Programming for Hackers and Pentesters", this second edition has been fully updated for Python 3. Justin Seitz and Tim Arnold explore the stealthier side of programming, everything from writing network sniffers, stealing email credentials, and bruteforcing directories to crafting mutation fuzzers, investigating virtual machines, and creating stealthy trojans. The new edition adds coverage of bit shifting, code hygiene, and offensive forensics with the Volatility Framework as well as expanded explanations of the Python libraries ctypes, struct, lxml, and BeautifulSoup, and offensive hacking strategies like splitting bytes, leveraging computer vision libraries, and scraping websites. 

<ASIN:1718501129>

 

Author: Justin Seitz and Tim Arnold
Publisher: No Starch
Date: April 2021
Pages: 216
ISBN: 978-1718501126
Print: 1718501129
Kindle: B08CTGR1XC
Audience: Python developers interested in security
Level: Intermediate/Advanced
Category: Python and Security

  • Create a trojan command-and-control server using GitHub
  • Detect sandboxing and automate common malware tasks like keylogging and screenshotting
  • Extend the Burp Suite web-hacking tool
  • Escalate Windows privileges with creative process control
  • Use offensive memory forensics tricks to retrieve password hashes and find vulnerabilities on a virtual machine
  • Abuse Windows COM automation
  • Exfiltrate data from a network undetected

See our reviews of the previous edition of this book and of Gray Hat Python: Python Programming for Hackers and Reverse Engineers by Justin Seitz.

 

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


TinyML: Machine Learning with TensorFlow Lite

Authors: Pete Warden and Daniel Situnayake
Publisher: O'Reilly
Date: December 2019
Pages: 504
ISBN: 978-1492052043
Print: 1492052043
Kindle: B082TY3SX7
Audience: Developers interested in machine learning
Rating: 5, but see reservations
Reviewer: Harry Fairhead
Can such small machines really do ML?



Learn Enough JavaScript to Be Dangerous

Author: Michael Hartl
Publisher: Addison-Wesley
Date: June 2022
Pages: 304
ISBN: 978-0137843749
Print: 0137843747
Kindle: B09RDSVV7N
Audience: Would-be JavaScript developers
Rating: 2
Reviewer: Mike James
To be dangerous? Is this a good ambition?


More Reviews