FEIN AFMT 12 QSL MultiTalent Select Akku Oszillierer 12 V + 1x Akku 3,0 Ah + Ladegerät + Koffer
SKU: 7652199022

FEIN AFMT 12 QSL MultiTalent Select Akku Oszillierer 12 V + 1x Akku 3,0 Ah + Ladegerät + Koffer

$121.28 $134.76
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Description

FEIN AFMT 12 QSL MultiTalent Select Akku Oszillierer 12 V + 1x Akku 3,0 Ah + Ladegerät + KofferLieferumfang: 1x FEIN AFMT 12 QSL MultiTalent Akku Oszillierer 1x FEIN Akkupack 12V 3,0 Ah Akku 1x FEIN ALG 80 Ladegert 1x Koffer Produktbeschreibung: Der MultiTalent AFMT 12 QSL in der 12V Akku Variante ist der leistungsstarke Helfer fr viele Anwendungen. Ohne Beschrnkung durch ein Stromkabel werden Renovierungen, Reparaturen und Aufarbeitungsarbeiten effektiv und schnell erledigt. Die StarlockPlus Aufnahme mit QuickIn Schnellspannsystem haben Sie

Lieferumfang:

- 1x FEIN AFMT 12 QSL MultiTalent Akku Oszillierer
- 1x FEIN Akkupack 12V 3,0 Ah Akku
- 1x FEIN ALG 80 Ladegerät
- 1x Koffer

Produktbeschreibung:

Der MultiTalent AFMT 12 QSL in der 12V Akku-Variante ist der leistungsstarke Helfer für viele Anwendungen. Ohne Beschränkung durch ein Stromkabel werden Renovierungen, Reparaturen und Aufarbeitungsarbeiten effektiv und schnell erledigt. Die StarlockPlus Aufnahme mit QuickIn-Schnellspannsystem haben Sie kompletten zugriff auf das gesamte Starlock- und StarlockPlus Sortiment und bietet einen Perfekten Sitz der Werkzeuge dank der angepassten 3D Form. Sie ermöglicht außerdem einen schnellen und einhändigen Werkzeugwechsel und eine 100% verlustfreie Kraftübertragung, wodurch Sie einen bis zu 35% schnelleren Arbeitsfortschritt erzielen können. Der DC-Motor ist selbsttragend in dem Gerät montiert und garantiert so eine hervorragende Geräusch- und Vibrationsreduzierung. In Kombination mit dem Metall-Getriebe und Tachogenerator, welcher dank der hochwertigen Elektronik für konstante Drehzahlen unter Last Gewährleistet, ergibt sich eine hohe Belastungsfähigkeit und maximale Lebensdauer. Die Drehzahl/ Schwingzahl ist stufenlos einstellbar, um ein optimales Arbeitsergebnis zu erreichen. Die Griffläche ist mit einer rutschfesten Softgrip-Beschichtung verkleidet. Die FEIN SafetyCell Technology schützt den Akku und die Maschine vor Überlastung, Überhitzung und Tiefenentladung.

Technische Daten:

Hersteller: Fein
Herstellerbezeichnung: AFMT 12 QSL MultiTalent
Herstellernummer: 71292562000
Akku-Spannung: 10,8V / 12V
Akku-Kompatibilität: Li-Ionen
Schwingzahl: 11.000 - 18.000 min-1
Werkzeugaufnahme: Starlock-Plus / Starlock
Werkzeugwechsel: QuickIN
Oszillationswinkel: +/- 1,6°
Schalldruckpegel LpA: 74 dB (A)
Schallleistungspegel LWA: 85 dB (A)
Schallpeakwert LpCpeak: 83 dB (A)
Drehzahlregulierung: stufenlos
Gewicht (ohne Akku und Werkzeug): 1,1 kg


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SKU: 7652199022

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4.0 ★★★★★
Based on 1347 reviews
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Product Reviews
E
eyal Fishman
Lake Worth, 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
New York, 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
Grantham, 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
Phoenix, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Charlottesville, 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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