SKU: 84559216679
rennrad rahmen pinarello

rennrad rahmen pinarello Rahmen Pinarello Dogma F Disk - Luxter blau

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Description

rennrad rahmen pinarello Rahmen Pinarello Dogma F Disk - Luxter blauDOGMA entwickelt sich weiter und verndert sein Erscheinungsbild, um dich erneut zu berraschen. Wir haben dieses neue Carbonfaser Lay up an unseren X Light Modellen und den Fahrrdern des Ineos Grenadiers Teams getestet. Diese neue Faser hat eine auergewhnliche Zugfestigkeit, die es uns ermglicht hat, die nchste Stufe in Bezug auf Leistung und seitliche Steifigkeit bei der neuesten Generation der DOGMA F zu erreichen. Das Unterrohr wurde komplett neu

DOGMA entwickelt sich weiter und verändert sein Erscheinungsbild, um dich erneut zu überraschen. Wir haben dieses neue Carbonfaser-Lay-up an unseren X-Light-Modellen und den Fahrrädern des Ineos Grenadiers Teams getestet. Diese neue Faser hat eine außergewöhnliche Zugfestigkeit, die es uns ermöglicht hat, die nächste Stufe in Bezug auf Leistung und seitliche Steifigkeit bei der neuesten Generation der DOGMA F zu erreichen. Das Unterrohr wurde komplett neu gestaltet, um die Dicke zu reduzieren und somit die aerodynamische Frontleistung sowie den Luftwiderstand des Rahmens zu verbessern. Das neue DOGMA F-Unterrohr ist um 3,5° gedreht, um eine Kielform zu schaffen, die die aerodynamische Leistung im Bereich des Tretlagers um 1,2 % verbessert. Die exklusive „Nasen“-Form des Steuerrohrs, erstmals 2014 am DOGMA F8 eingeführt, entwickelt sich erneut weiter, indem das Volumen und die Breite des Bereichs um 8 mm reduziert werden, mit einem schlankeren Design zur Verbesserung der aerodynamischen Frontdurchdringung.

  • RAHMEN TorayCa M40X, TiCR™ Kabelverlegung, Italienisches Tretlager.
  • GABEL NEUE eTICR Onda Gabel mit ForkFlap™, 1,5' oberes und unteres Steuerrohr
  • GEWICHT 6,77 kg. Gewicht in Größe 53, Shimano Dura Ace, Princeton Peak 4550 Laufräder, ohne Pedale und ohne Flaschen.
  • Farbe: Schwarz/Blau Ch103 (Luxter Blue Shiny).
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SKU: 84559216679

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4.4 ★★★★★
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E
eyal Fishman
Draper, 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
Boise, 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
Alexandria, 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
Natrona Heights, 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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