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Read online (for free!)
📚 Books:
https://taomm.org/index.html
Volume I: Analysis.
The "Art of Mac Malware" was created to provide a comprehensive resource
about threats targeting Apple's desktop OS. Dedicated to the community,
it is a culmination of over a decade of macOS security research.
Defenders must fully understand how malicious software works if they
hope to stay ahead of the increasingly sophisticated threats facing
Apple products today. The Art of Mac Malware: The Guide to Analyzing
Malicious Software is a comprehensive handbook to cracking open these
malicious programs and seeing what’s inside.
Discover the secrets of nation state backdoors, destructive ransomware,
and subversive cryptocurrency miners as you uncover their infection
methods, persistence strategies, and insidious capabilities. Then work
with and extend foundational reverse-engineering tools to extract and
decrypt embedded strings, unpack protected Mach-O malware, and even
reconstruct binary code. Next, using a debugger, you’ll execute the
malware, instruction by instruction, to discover exactly how it
operates. In the book’s final section, you’ll put these lessons into practice by analyzing a complex Mac malware specimen on your own.
Volume II: Detection
Analyzing malware is only half the battle. Detecting malicious code in
the first place, is the other essential piece!
Volume I detailed the infection vectors, persistence mechanisms, and
internals of Mac malware, providing the reader with comprehensive
understanding of, well, what Mac malware "looks like." Now we're ready
to discuss exactly how to programmatically detect such malicious code.
The second volume of the "The Art of Mac Malware" is a comprehensive
resource that covers the programmatic detection of macOS malware code
via behavioral-based heuristics.
Armed with topics and approaches covered in this second volume, Mac
malware doesn't stand a chance!
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These books are peer-reviewed and open to community input. Digital
versions are 100% free, while all royalties from sales (of the printed versions), are dontated to the Objective-See Foundation! 😇
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Kind regards,
David
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