SKU: 66464762340

PUIG 9692F New Generation Touring passend fuer KTM 1290 SUPERDUKE R Stark getönt

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Description

PUIG 9692F New Generation Touring passend fuer KTM 1290 SUPERDUKE R Stark getöntPUIG 9692F New Generation Touring passend fuer KTM 1290 SUPERDUKE R 2018 Wenn Sie ein nacktes Motorrad mit Scheinwerfern mit kanitgen Ecken haben, ist die neue Generation von Puig Windschutzscheiben die beste Ergnzung fr Ihre Maschine. Hergestellt aus PMMA, garantiert es den besten Schutz vor mglichen Sten und vor allem vor Wind und Wetter, welche whrend der Fahrt auftreten knnen. Darber hinaus verleiht es Ihrem Motorrad eine grere aerodynamische

PUIG 9692F New Generation Touring passend fuer KTM 1290 SUPERDUKE R 2018

Wenn Sie ein nacktes Motorrad mit Scheinwerfern mit kanitgen Ecken haben, ist die neue Generation von Puig-Windschutzscheiben die beste Ergänzung für Ihre Maschine. Hergestellt aus PMMA, garantiert es den besten Schutz vor möglichen Stößen und vor allem vor Wind und Wetter, welche während der Fahrt auftreten können. Darüber hinaus verleiht es Ihrem Motorrad eine größere aerodynamische Kapazität. Was die aerodynamische Kapazität betrifft, so bietet Puig zusammen mit dem Artikel die aerodynamische Prüfung des Artikels während des Entstehungsprozesses an. Die neue Generation der Puig-Windschutzscheiben passt sich perfekt an Ihr Motorrad-Modell an und ist teilweise in zwei Ausführungen erhältlich: Sport der neuen Generation oder Tourenwagen der neuen Generation. Der Benutzer kann nicht nur die Art der Windschutzscheibe bestimmen, sondern hat auch die Möglichkeit, aus einer breiten Palette von Farben diejenige auszuwählen, die am besten zur ästhetischen Linie seines Motorrads passt. Die Montage der neuen Windschutzscheibe ist sehr einfach und wird mit einer Anleitung geliefert. Es ist intuitiv und visuell, um die Platzierung der neuen Verkleidung zu erleichtern. Überprüfen Sie, ob das Referenz von der deutschen KBA homologiert wurde und ob es bereits in der Homologation im Abschnitt DOKUMENTE enthalten ist. Bitte prüfen Sie die ABE sorgfältig, um sicherzustellen, dass dieses Teil für Ihr Motorrad geeignet ist.

Messungen (Höhe x Breite): 415 X 330 mm

passend für:

KTM 1290 SUPERDUKE R 2018
KTM 1290 SUPERDUKE R 2017
KTM 1290 SUPERDUKE R 2019

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SKU: 66464762340

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4.8 ★★★★★
Based on 6 reviews
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Product Reviews
E
eyal Fishman
Belleville, US
★★★★★ 5
outstanding and highly informative book
Format: Paperback
MAoS - Malware Analysis on Steroids: Fighting Malware to the Death - Real-World Threats and Reverse Engineering Tactics by Uriel Kosayev is an outstanding and highly informative book. This is the second book I’ve read from him, after Antivirus Bypass Techniques, and once again I found the content to be extremely practical, well-structured, and insightful. Uriel has a way of explaining complex malware analysis and reverse engineering concepts in a way that is both approachable and deeply technical. The real-world tactics and examples make it not just a book you read once, but a reference you’ll return to often. Without a doubt, another excellent resource—I’m giving it 5 stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
Carnegie, US
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2025
Z
Zachi
Cuba, US
★★★★★ 5
Essential for Malware Hunters
Format: Hardcover
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
Port Orchard, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Grantham, US
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2024

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