SKU: 41654577709

Makita DBO 382 RM Akku Schwingschleifer 18 V 93 x 185 mm Brushless + 2x Akku 4,0 Ah + Ladegerät

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Description

Makita DBO 382 RM Akku Schwingschleifer 18 V 93 x 185 mm Brushless + 2x Akku 4,0 Ah + LadegerätLieferumfang: 1x Makita DBO 382 Schwingschleifer 1x Staubbox kpl. ( 135327 0 ) 1x Lochungsplatte ( 451271 6 ) 1x Akku Schutzabdeckung ( 422807 8 ) 2x Makita BL 1840 B 18 V 4,0 Ah Akku 1x Makita DC 18 RC Schnell Ladegert Produktbeschreibung: Der DBO 382 von Makita ist ein Leistungsstarker Akku Schwingschleifer fr eine Vielzahl von Anwendungen. Durch die 93 x 185 mm groe Grundplatte ist er zum Schleifen von groen Flchen perfekt geeignet. Alternativ kann

Lieferumfang:

- 1x Makita DBO 382 Schwingschleifer
- 1x Staubbox kpl. ( 135327-0 )
- 1x Lochungsplatte ( 451271-6 )
- 1x Akku-Schutzabdeckung ( 422807-8 )
- 2x Makita BL 1840 B 18 V 4,0 Ah Akku
- 1x Makita DC 18 RC Schnell Ladegerät

Produktbeschreibung:

Der DBO 382 von Makita ist ein Leistungsstarker Akku-Schwingschleifer für eine Vielzahl von Anwendungen. Durch die 93 x 185 mm große Grundplatte ist er zum Schleifen von großen Flächen perfekt geeignet. Alternativ kann auch Schleifpapier in der Abmessung von 93 x 185 mm per Klett-Verschluss angebracht werden. Aufgrund der drei einstellbaren Drehzahlstufen sind gleichmäßige Oberflächenbearbeitungen von Holz, Metall oder Kunststoff möglich. Der gummierte Handgriff sorgt für einen sicheren Halt. Die spezielle Anordnung des Akkus sorgt für ein perfektes Gleichgewicht der Maschine. Der Schleifstaub lässt sich sowohl mit der mitgelieferten Staubfangbox oder mit einer externen Staubabsaugung auffangen. Dank der gelöcherten Grundplatte wird eine sehr effektive Absaugung ermöglicht. Makita ist ein führender Hersteller von Elektrowerkzeugen, der sich vor allem durch seine lange Tradition und hohe Verarbeitungsqualität auszeichnet.

Technische Daten:

Hersteller: Makita
Herstellerbezeichnung: DBO 382
Akkuspannung: 18 V
Akkusystem: LXT
Leerlauf-Oszillation: 12000 min⁻¹
Gewicht inkl. Akku (EPTA): 1,9 - 2,2 kg
Produktabmessung (L x B x H): 336 x 92 x 169 mm
Antriebsart: Akku
Akkutyp: Li-ion
Max. Ausgangsleistung: 200 W
Schleifplattengröße: 92 x 185 mm
Papiergröße: 93 x 228 mm
Produktgewicht: 1,2 kg
Schalldruckpegel (LpA): 72 dB(A)
K-Wert Geräusch: 3 dB(A)
K-Wert Vibration: 1,5 m/s²


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SKU: 41654577709

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4.9 ★★★★★
Based on 27 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
Louisville, 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
Belleville, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Dallas, 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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