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Ships within 48 hours · Estimated delivery Jul 4 - Jul 9
For Your Every Summer RSVP, with Code: SUMMER15
Description
PARD Nachtzicht Monoculair, nachtkijker met nachtzichtbereik tot 300 m, nachtkijker met IR940nm voor waarneming of nachtobservatie, NV007SPQuick Mount and Release: verander uw dagrichtkijker in slechts 1 seconde in nachtkijker. Snel te installeren en te demonteren, u kunt uw dagrichtkijker in n seconde veranderen in een nachtkijker door de NV007SP nachtkijkers te bevestigen. Overdag hoeft u de nachtkijker niet van uw richtkijker af te halen, de clip on werkt zowel 's nachts als overdag goed. Kortere lichaamslengte, compact ontwerp: lengte is slechts 96 mm. De nachtzichttelescoop past
- 【Quick Mount and Release】: verander uw dagrichtkijker in slechts 1 seconde in nachtkijker. Snel te installeren en te demonteren, u kunt uw dagrichtkijker in één seconde veranderen in een nachtkijker door de NV007SP nachtkijkers te bevestigen. Overdag hoeft u de nachtkijker niet van uw richtkijker af te halen, de clip on werkt zowel 's nachts als overdag goed.
- 【Kortere lichaamslengte, compact ontwerp】: lengte is slechts 96 mm. De nachtzichttelescoop past precies in uw zak en is heel gemakkelijk mee te nemen. De clip-on bediening wordt bediend met vijf knoppen. Gemakkelijke keuze tussen opties tijdens gebruik. Tijdens het jagen hoeft u uw houding niet te veranderen, aangezien het apparaat is ontworpen om te worden bevestigd en goed te werken met de meeste richtkijkers.
- 【Hooggevoelige CMOS-sensor & snelle detectie 1200yds LRF】: Bij het jagen bij weinig licht zorgt een zeer gevoelige 2560*1440 CMOS, 0,001 low lux beeldsensor voor scherpere en zeer heldere beelden bij weinig licht voor verbeterde nachtgevoeligheid. Doelen kunnen tot op 1200 meter afstand worden gedetecteerd. De afstandsmodule heeft een laag stroomverbruik en de LRF geeft u de afstandsinformatie om de exacte afstand tot uw doel te meten.
- 【Richting instelbaar IR-licht en zelf-geactiveerde opname】: het IR-licht helpt bij het identificeren van doelen en is ideaal voor spotten en navigeren. 'S Nachts kan het IR-verlichtingsbereik zich uitstrekken tot 350 meter. Wanneer het apparaat terugslag detecteert, wordt het hele opnameproces opgenomen in intervallen van 20 seconden. De incrementele videobeelden van 20 seconden worden opgeslagen op de TF-kaart.
- 【WIFI, 4X-14X vergroting & Full HD foto- en video-opname】: 2592x1944 fotoresolutie en 1920*1080 full HD videoresolutie, wordt geleverd met OLED HD-display. Beelden zijn vloeiender en hebben meer detail. U kunt afbeeldingen in hoge resolutie van uw buitenavonturen delen op sociale media. Totale vergroting van 4x-14x. Zoom in op uw doelwit om de zichtbaarheid van het richten te verbeteren.
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4.2 ★★★★★
Based on 557 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
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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.
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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