SKU: 75118419979
fahrradschloss per handy

fahrradschloss per handy ROCKBROS Intelligentes NFC Fahrradschloss Wasserdicht Lange Akkulaufzeit – ROCKBROS-DE

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Description

fahrradschloss per handy ROCKBROS Intelligentes NFC Fahrradschloss Wasserdicht Lange Akkulaufzeit – ROCKBROS-DEHinweis: Die Lieferzeit betrgt ca. 12 14 Werktage. ROCKBROS Intelligentes NFC Fahrradschloss Wasserdicht Lange Akkulaufzeit fr Motorrad Fahrrad Erleben Sie smartes Entsperren mit NFC einfach, schnell und ohne Schlssel oder Code. Das robuste Fahrradschloss bietet eine lange Akkulaufzeit und vielseitige Entsperrmethoden per Smartphone, NFC Karte oder Tag. Mit Silikonschutz fr kratzfreien Rahmen und langlebigem Design. Smartes Entsperren per NFC

Hinweis: Die Lieferzeit beträgt ca.12-14 Werktage.

ROCKBROS Intelligentes NFC Fahrradschloss Wasserdicht Lange Akkulaufzeit für Motorrad/Fahrrad

Erleben Sie smartes Entsperren mit NFC – einfach, schnell und ohne Schlüssel oder Code. Das robuste Fahrradschloss bietet eine lange Akkulaufzeit und vielseitige Entsperrmethoden per Smartphone, NFC-Karte oder -Tag. Mit Silikonschutz für kratzfreien Rahmen und langlebigem Design.

Smartes Entsperren per NFC
Einfacher geht’s nicht: Entsperren Sie Ihr Fahrrad in Sekundenschnelle mit Ihrem Smartphone, einer NFC-Karte oder einem kompatiblen Gerät. Kein Schlüssel, kein Code – nur ein smarter Touch für maximale Bequemlichkeit im Alltag.

Lange Akkulaufzeit für sorgenfreies Fahren
Mit dem integrierten 600 mAh Akku genießen Sie langanhaltende Sicherheit. Nach voller Aufladung kann das Schloss bis zu 1500-mal entsperrt werden – ideal für tägliche Pendler und Vielfahrer. Die intelligente LED-Anzeige informiert rechtzeitig über den Ladestand.

Mehrere Entsperrmöglichkeiten – flexibel wie Sie
Ob mit dem Smartphone, der mitgelieferten NFC-Karte oder einem beliebigen NFC-Tag: Sie entscheiden, wie Sie Ihr Schloss entsperren möchten. Perfekt für unterwegs, wenn man das Handy mal nicht zur Hand hat.

Rahmenschonendes Design mit Silikonschutz
Das Schloss ist mit einer weichen, rutschfesten Silikonhülle versehen, die den Fahrradrahmen zuverlässig vor Kratzern, Abrieb und Stößen schützt. Funktion trifft auf durchdachte Details – für ein langlebiges Fahrrad und stilvollen Schutz.

Produktinformationen

Hersteller ROCKBROS
Marke ROCKBROS
Artikelgewicht ca. 564g (Gewicht des Schlosskörpers)
Schlossmaterial Silikon + Aluminiumlegierung
Schließkopfmaterial ABS + Zinklegierung
Nutzungsdauer Bis zu 1500 Entsperrungen nach vollständiger Aufladung
Batteriespezifikation Wiederaufladbarer Lithium-Akku 600 mAh 3,7 V
Betriebstemperatur -20℃ bis 65℃
Kompatibilität Für Straßenräder, Mountainbikes und Falträder
Shipping Notes
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Exchange/Return Notes
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SKU: 75118419979

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4.0 ★★★★★
Based on 9 reviews
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Product Reviews
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
Lake Worth, 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
Louisville, 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
Draper, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Louisville, 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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