Python is fast becoming the programming language of choice for hackers, reverse engineers, and software testers because it's easy to write quickly, and it has the low-level support and libraries that make hackers happy. But until now, there has been no real manual on how to use Python for a variety of hacking tasks. You had to dig through forum posts and man pages, endlessly tweaking your own code to get everything working. Not anymore.
Gray Hat Python explains the concepts behind hacking tools and techniques like debuggers, trojans, fuzzers, and emulators. But author Justin Seitz goes beyond theory, showing you how to harness existing Python-based security tools - and how to build your own when the pre-built ones won't cut it.
You'll learn how to:
The world's best hackers are using Python to do their handiwork. Shouldn't you?
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Justin Seitz is a Senior Security Researcher for Immunity, Inc., where he spends his time bug hunting, reverse engineering, writing exploits, and coding Python.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Buchbeschreibung No Starch Inc. Mai 2009, 2009. Taschenbuch. Buchzustand: Neu. Neuware - Python is the high-level language of choice for hacking, vulnerability discovery, and security research. Gray Hat Python, the first Python book written for advanced security analysts, explains the intricacies of using Python to assist in a range of security analysis tasks. Readers learn how to design and program their own debuggers, create powerful fuzzers, utilize open source libraries to automate tedious tasks, and interface with commercial and non-commercial security tools. Gray Hat Python covers everything from the nuts and bolts of how to use the language for basic code and DLL injection to using Python to analyze binaries and disassemble software. Fundamentally a security book, Gray Hat Python reveals just how superior the Python language is when it comes to hacking, reverse engineering, malware analysis and software testing. 190 pp. Englisch. Artikel-Nr. 9781593271923