SKU: 1457873720

Makita DMR 108 M1 Akku Radio 10,8 V - 18 V Bluetooth IP64 + 1x Akku 4,0 Ah - ohne Ladegerät

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Description

Makita DMR 108 M1 Akku Radio 10,8 V - 18 V Bluetooth IP64 + 1x Akku 4,0 Ah - ohne LadegerätLieferumfang: 1x Makita DMR108NB Akku Radio 1x Makita Netzteil 1x Makita BL 1840 B 18 V 4,0 Ah Akku ohne Ladegert Produktbeschreibung: Das Akku Radio DMR108NB von Makita ist die perfekte Wahl fr Baustellen oder den Einsatz daheim. Mit seinem kompakten und leichten Design ist es leicht zu transportieren und die Stostangen und Metallrohre schtzen es vor Beschdigungen. Es lsst sich mit 10,8 V bis 18 V Li Ionen Akkus oder dem mitgelieferten Netzteil

Lieferumfang:

- 1x Makita DMR108NB Akku Radio
- 1x Makita Netzteil
- 1x Makita BL 1840 B 18 V 4,0 Ah Akku
- ohne Ladegerät

Produktbeschreibung:

Das Akku-Radio DMR108NB von Makita ist die perfekte Wahl für Baustellen oder den Einsatz daheim. Mit seinem kompakten und leichten Design ist es leicht zu transportieren und die Stoßstangen und Metallrohre schützen es vor Beschädigungen. Es lässt sich mit 10,8 V bis 18 V Li-Ionen Akkus oder dem mitgelieferten Netzteil betreiben. Dank der AUX-Konnektivität und der neuesten Bluetooth 5.0 Technologie können Sie Ihr Smartphone drahtlos mit dem Radio verbinden und Ihre Lieblingsmusik genießen. Darüber hinaus verfügt das Radio über einen USB-Anschluss, um Ihr Smartphone aufzuladen. Ein LCD-Display zeigt Ihnen zudem alle benötigten Informationen an. Verpassen Sie nicht diese fantastische Gelegenheit, dieses Akku-Radio zu erwerben und erleben Sie eine hochwertige Klangwiedergabe.

Technische Daten:

Hersteller: Makita
Herstellerbezeichnung: DMR108NB
Akkuspannung: 10,8 - 18 V
Akku-Serie CXT: Ja
Akku-Serie LXT: Ja
Frequenzbereich AM: 522 - 1710 kHz
Frequenzbereich FM: 87,5 - 108 MHz
Laufzeit 18 V / 2,0 Ah: 12 h
Laufzeit 18 V / 4,0 Ah: 22 h
Laufzeit 18 V / 5,0 Ah: 28 h
Laufzeit 18 V / 6,0 Ah: 34 h
Stromversorgung: DC12V 1200mA (SE00000101)
Internationale Schutzklasse (IP): 64
Maschinengewicht inkl. Akku (EPTA): 4,4 kg
Produktabmessung (L x B x H): 262 x 163 x 431 mm
Dauerbetrieb 14,4 V / 3,0 Ah: 13 h
Dauerbetrieb 18 V / 3.0 Ah: 16 h
Bluetooth: Ja
Produktgewicht: 4,4 kg
Batterien: 2 x 1,5 (AA)


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SKU: 1457873720

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4.3 ★★★★★
Based on 17 reviews
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Product Reviews
E
eyal Fishman
Charlottesville, 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
Omaha, 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
Whiting, 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
Omaha, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Lexington, 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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