iPhone XR Platine Logicboard Mainboard with Face ID 256gb
SKU: 75514448072

iPhone XR Platine Logicboard Mainboard with Face ID 256gb

$158.34 $175.93
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No.2 Bestseller on asantecanada.ca >

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Description

iPhone XR Platine Logicboard Mainboard with Face ID 256gbiPhone XR Platine Logicboard Mainboard mit Face ID 256gb Das iPhone XR Platine Logicboard Mainboard mit Face ID 256gb ist die perfekte Lsung, wenn dein aktuelles Mainboard defekt ist oder du einfach ein Upgrade bentigst. Mit diesem Ersatzteil holst du dir Qualitt und Funktionalitt direkt zurck in dein iPhone XR. Einzigartige Merkmale: Originalqualitt: Ersetze deine defekte Platine durch ein hochwertiges Originalteil. Mit der Originalqualitt bist du

iPhone XR Platine Logicboard Mainboard mit Face ID 256gb

Das iPhone XR Platine Logicboard Mainboard mit Face ID 256gb ist die perfekte Lösung, wenn dein aktuelles Mainboard defekt ist oder du einfach ein Upgrade benötigst. Mit diesem Ersatzteil holst du dir Qualität und Funktionalität direkt zurück in dein iPhone XR.

Einzigartige Merkmale:

  • Originalqualität: Ersetze deine defekte Platine durch ein hochwertiges Originalteil. Mit der Originalqualität bist du auf der sicheren Seite und kannst dich auf die Langlebigkeit und Zuverlässigkeit verlassen.
  • Face ID: Profitiere von der fortschrittlichen Face ID-Technologie für sicheres und schnelles Entsperren deines Geräts. Keine lästigen Passwörter mehr – dein Gesicht ist der Schlüssel.
  • 256 GB Speicher: Der großzügige Speicherplatz bietet ausreichend Platz für all deine Daten, Fotos, Videos und Apps. Du musst dir keine Sorgen mehr über begrenzten Speicherplatz machen.
  • Einfacher Einbau: Lass das Mainboard problemlos bei uns einbauen. Unsere Experten übernehmen den Einbau schnell und professionell, sodass du dein Gerät in kürzester Zeit wieder nutzen kannst.

Mit dem iPhone XR Platine Logicboard Mainboard mit Face ID 256gb bringst du dein Gerät wieder in Topform. Ob du es selbst einbaust oder unseren professionellen Service nutzt – dein iPhone XR wird so gut wie neu sein.

Zögere nicht länger und bestelle jetzt das iPhone XR Platine Logicboard Mainboard mit Face ID 256gb, um von der hohen Qualität und den vielen Vorteilen zu profitieren!

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 75514448072

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4.0 ★★★★★
Based on 1280 reviews
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Product Reviews
E
eyal Fishman
Waukegan, 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
Phoenix, 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
Natrona Heights, 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
Boise, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Port Orchard, 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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