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Black Hat Python
book

Black Hat Python

by Justin Seitz
December 2014
Intermediate to advanced
192 pages
4h 38m
English
No Starch Press
Content preview from Black Hat Python

Chapter 11. Automating Offensive Forensics

Forensics folks are often called in after a breach, or to determine if an “incident” has taken place at all. They typically want a snapshot of the affected machine’s RAM in order to capture cryptographic keys or other information that resides only in memory. Lucky for them, a team of talented developers has created an entire Python framework suitable for this task called Volatility, billed as an advanced memory forensics framework. Incident responders, forensic examiners, and malware analysts can use Volatility for a variety of other tasks as well, including inspecting kernel objects, examining and dumping processes, and so on. We, of course, are more interested in the offensive capabilities that Volatility ...

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Publisher Resources

ISBN: 9781457189807Errata Page