SKU: 52028261766

TRIUMPH TIGER SPORT 1050 [2015] – Tourenscheibe – Transparent

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Description

TRIUMPH TIGER SPORT 1050 [2015] – Tourenscheibe – TransparentPassend fr Baujahre: 2015. Hersteller Marke: PUIG (TRIUMPH) Motorradmodell: TRIUMPH TIGER SPORT 1050. Artikel: Tourenscheibe. Produktbeschreibung: PUIG CPULA TOURING fr TRIUMPH TIGER SPORT 1050 Die CPULA TOURING von PUIG ist speziell fr das Modell TRIUMPH TIGER SPORT 1050 entwickelt worden und bietet eine optimale Lsung fr Baujahre ab 2015. Dieses qualitativ hochwertige Motorradzubehrteil zeichnet sich durch seine ausgezeichnete Funktionalitt und

Passend für Baujahre: 2015.

Hersteller/Marke: PUIG (TRIUMPH)

Motorradmodell: TRIUMPH TIGER SPORT 1050.

Artikel: Tourenscheibe.

Produktbeschreibung: PUIG CÚPULA TOURING für TRIUMPH TIGER SPORT 1050

Die CÚPULA TOURING von PUIG ist speziell für das Modell TRIUMPH TIGER SPORT 1050 entwickelt worden und bietet eine optimale Lösung für Baujahre ab 2015. Dieses qualitativ hochwertige Motorradzubehörteil zeichnet sich durch seine ausgezeichnete Funktionalität und Ästhetik aus.

Produktdetails

  • Hersteller: PUIG
  • Modell: TIGER SPORT 1050
  • Marke: TRIUMPH
  • Artikel: CÚPULA TOURING
  • Baujahre: Ab 2015

Design und Material

Die CÚPULA TOURING wurde entwickelt, um den Fahrer aerodynamisch zu schützen, ohne die Sicht zu beeinträchtigen. Die Verwendung von 4 mm dickem, UV-geschütztem Acrylmaterial sorgt für Langlebigkeit und Widerstandsfähigkeit gegen Witterungseinflüsse. Die Kanten der Scheibe sind auf 2 mm abgerundet, was nicht nur für eine elegante Optik sorgt, sondern auch die Sicherheit erhöht. Dieses Design fügt sich nahtlos in das Abenteuer- und Ästhetikprofil der TRIUMPH TIGER SPORT 1050 ein.

Montage

Die Montage der CÚPULA TOURING kann einfach und intuitiv durchgeführt werden, ohne dass ein Mechaniker hinzugezogen werden muss. Dies ermöglicht eine schnelle und unkomplizierte Anbringung an das Motorrad, was Zeit und möglicherweise Kosten spart.

Sicherheit und Zertifizierung

Die CÚPULA TOURING entspricht den strengen Normen des deutschen TÜV, was ihre Qualität und Sicherheit unterstreicht. Die Scheibe wurde in virtuellen Windkanaltests geprüft, um ihre aerodynamischen Eigenschaften zu bestätigen und zu optimieren.

Die CÚPULA TOURING von PUIG ist eine exzellente Wahl für Fahrer der TRIUMPH TIGER SPORT 1050, die Wert auf Funktionalität, Sicherheit und Stil legen.

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SKU: 52028261766

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4.8 ★★★★★
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E
eyal Fishman
Houston, 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
New York, 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
Boise, 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
Cuba, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Battle Creek, 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.
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Reviewed in the United States on October 14, 2024

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