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Description
Delphin DIMENZIA Rute 300cm 150g 3 teiligberschreiten Sie Ihre Grenzen und fischen Sie an Orten, die weit ber die normale Grenze der Vereinbarung hinausgehen. Die Delphin DIMENZIA bietet eine kompromisslose Lsung fr das Werfen von den Feeder Montagen auf extreme Distanzen. Der extrem starke Blank aus 24T Carbon ist stark genug, um der vollen Kraft beim Wurf standzuhalten. Die Rute verfgt ber eine schnelle Aktion an der Spitze, die es dem Blank ermglicht, nach einem Wurf schnell in die
Überschreiten Sie Ihre Grenzen und fischen Sie an Orten, die weit über die normale Grenze der Vereinbarung hinausgehen. Die Delphin DIMENZIA bietet eine kompromisslose Lösung für das Werfen von den Feeder-Montagen auf extreme Distanzen. Der extrem starke Blank aus 24T Carbon ist stark genug, um der vollen Kraft beim Wurf standzuhalten. Die Rute verfügt über eine schnelle Aktion an der Spitze, die es dem Blank ermöglicht, nach einem Wurf schnell in die neutrale Position zurückzukehren und so den Schnurwiderstand beim Durchlaufen durch die Ösen zu reduzieren. Aus demselben Grund haben wir die Rute mit den massiven Karbonspitzen ausgestattet. Der lange Griff der Rute, der mit dem Shrink-Material und einer EVA-Schaumverlängerung am Ende für einen festen und entscheidenden Griff ausgestattet ist, trägt ebenfalls zu den extremen Würfen bei. Der ergonomisch geformte Fuji-Sattel ist sehr komfortabel und trägt auch bei den häufigen Würfen zu einer geringeren Ermüdung bei. Für eine maximale Sicherung der Rolle bei den extremen Würfen ist der Sattel mit einer zusätzlichen Metallmutter ausgestattet. Die Rute ist mit den hochwertigen und starken SeaGuide-Ösen mit der Keramikfüllung ausgestattet. Die gesamte Rute ist in einer eleganten mattschwarzen Farbe gehalten, in der die Karbontextur des Blanks, die schwarzen Ösen und deren Bindung sowie der schwarze Sattel hervorstechen.Technische Parameter:
Delphin DIMENZIA 300cm/150g/3 Teile
Rutenlänge: 300cm
Wurfgewicht: 150g
Blankdurchmesser über dem Griff: 13,3mm
Anzahl der Ösen: 7+6
Transportlänge: 105,5cm
Gewicht: 210g
Handgriff: Shrink + EVA-Schaum
Grifflänge (von der Unterseite der Rute bis zur Mitte des Sattels): 52cm
Durchmesser der Spitze: 2.65mm
Delphin DIMENZIA 330cm/150g/3 Teile
Rutenlänge: 330cm
Wurfgewicht: 150g
Blankdurchmesser über dem Griff: 13,9mm
Anzahl der Ösen: 7+6
Transportlänge: 115,5cm
Gewicht: 240g
Handgriff: Shrink + EVA-Schaum
Grifflänge (von der Unterseite der Rute bis zur Mitte des Sattels): 52cm
Durchmesser der Spitze: 2.65mm
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4.7 ★★★★★
Based on 16 reviews
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Product Reviews
★★★★★ 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.
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Reviewed in the United States on September 10, 2025
★★★★★ 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
★★★★★ 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
★★★★★ 5
All OK.
Format: Paperback
All OK.
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Reviewed in the United States on August 23, 2024
★★★★★ 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.
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Reviewed in the United States on October 14, 2024
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