SKU: 95162282765

Maxton Design Spoiler Cap für Skoda Kodiaq NS7 Facelift

$129.60 $144.00
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Ships within 48 hours · Estimated delivery Sep 17 - Sep 22

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Description

Maxton Design Spoiler Cap für Skoda Kodiaq NS7 FaceliftSpoiler Cap fr Skoda Kodiaq NS7 Facelift von Maxton Design Passend fr: Skoda Kodiaq NS7 Facelift 2021 2023 Skoda Kodiaq RS NS7 Facelift 2021 2023 Skoda Kodiaq Sportline NS7 Facelift 2021 2023 Lieferumfang: Maxton Design Spoiler Cap fr Skoda Kodiaq Montageanleitung Farbe: Hochglanz Schwarz Der Spoiler wird gut verpackt, montagebereit in Hochglanz Schwarz geliefert und mit einem stark klebenden, doppelseitigen Klebeband (welches bereits am Spoiler

Spoiler Cap für Skoda Kodiaq NS7 Facelift von Maxton Design

Passend für:

  • Skoda Kodiaq NS7 Facelift / 2021 - 2023
  • Skoda Kodiaq RS NS7 Facelift / 2021 - 2023
  • Skoda Kodiaq Sportline NS7 Facelift / 2021 - 2023

Lieferumfang:

  • Maxton Design Spoiler Cap für Skoda Kodiaq
  • Montageanleitung

Farbe:

  • Hochglanz Schwarz

Der Spoiler wird gut verpackt, montagebereit in Hochglanz Schwarz geliefert und mit einem stark klebenden, doppelseitigen Klebeband (welches bereits am Spoiler angebracht ist) am Fahrzeug montiert.

Das Produkt ist aus ABS-Kunststoff und zeichnet sich durch eine erhöhte Festigkeit und Flexibilität aus. ABS-Material wurde speziell für den Einsatz in der Automobilindustrie hergestellt und für die Produktion von Stoßstangen und anderen Karosserieteilen eingesetzt.

Dieses Produkt wurde mit einem TÜV Materialgutachten zertifiziert (Gutachten für das Material).
Eintragung nach §21 erforderlich, bitte vorher bei ihrem TÜV nachfragen, ob die Möglichkeit besteht.

Shipping Notes
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Exchange/Return Notes
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SKU: 95162282765

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4.7 ★★★★★
Based on 11 reviews
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Product Reviews
Z
Zachi
Carnegie, 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
West Palm Beach, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Fort Morgan, 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
S
Verified Purchase
Susan Landers
Omaha, US
★★★★★ 5
Great messages for toddlers
Format: Paperback
Great little book to teach toddlers why hitting is not acceptable. Nice messages, cute pictures. Overall, a good book to help with this challenging problem in toddlers and 3-5 year old boys.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 21, 2026
L
Verified Purchase
Leah
Houston, US
★★★★★ 5
Excellent product
Format: Paperback
This book actually got my 5 year old son to stop hitting his younger sister.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026

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