Borla 87-93 Ford Mustang GT 5.0L 8cyl SS Catback Exhaust

Borla 87-93 Ford Mustang GT 5.0L 8cyl SS Catback Exhaust

Marsoni

M251S

$600.00

Get it in 3 business days with 1 day shipping. Friday, May 29

Borla 87-93 Ford Mustang GT 5.0L 8cyl SS Catback ExhaustSKU: 14139 UPC: 808422141390 Borla 1987 1993 Ford Mustang GT 5. 0L V8 S Type Cat Back Exhaust System 14139 The Borla 14139 S Type Cat Back Exhaust System fits 1987 1993 Ford Mustang GT, LX 5. 0L V8, and select Cobra models in coupe or convertible body styles with automatic or manual transmission. This full cat back setup replaces the exhaust from the catalytic converter back, delivering gains in horsepower, torque, and fuel economy through patented

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MAoS - Malware Analysis on Steroids is a clear, practical, and engaging guide to real-world malware threats. It blends hands-on reverse engineering tactics with modern case studies, making it both highly technical and easy to follow. Whether you’re new to malware analysis or a seasoned security pro, this book sharpens your skills and mindset for the fight against today’s threats.

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Reviewed in the United States on September 20, 2025

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Cliente Amazon

Lexington, US

★★★★★ 5

All OK.

Format: Paperback

All OK.

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Reviewed in the United States on August 23, 2024

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★★★★★ 5

Great book on Android malware reverse engineering and detection!

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This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it. The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform. Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering. The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.

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★★★★★ 5

Great messages for toddlers

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★★★★★ 5

Excellent product

Format: Paperback

This book actually got my 5 year old son to stop hitting his younger sister.

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