SKU: 96646023361

GRIFEMA GA2005 Digital Luggage Weight Scales, 110Lb/50kg

Sale price$9.90 Regular price$11.00
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Description

GRIFEMA GA2005 Digital Luggage Weight Scales, 110Lb/50kgThis item is GRIFEMA GA2005 Digital Luggage Weight Scales, 110Lb 50kg, Suitcase Weighing Scales, Case Baggage Weighing Scales, with Tare Function, Lightweight for Travel Brand New Sealed. 12 Month Warranty Brand GRIFEMA Colour Silver Recommended uses for product Luggage Special feature Data Lock, Low battery and overload indication, Temperatur Indicate, Lightweight, Auto off, Tare FunctionData Lock, Low battery and overload indication, Temperatur

This item is - GRIFEMA GA2005 Digital Luggage Weight Scales, 110Lb/50kg, Suitcase Weighing Scales, Case/Baggage Weighing Scales, with Tare Function, Lightweight for Travel


Brand New - Sealed.


12 Month Warranty


About this item

  • [High Accuracy]: Weighing scales for luggage with high accuracy reading results 110lb/50kg Capacity, 0.1lb/50g gradation. Package include 1 x 3V lithium cell (CR2032) for long-term use.
  • [Temperatur Indicate]: Luggage scales for suitcases built-in temperature sensor, have 2 units of weight (lb/kg) and temperature unit (F°/C°).
  • [Smart Functions]: Auto-off, Data Lock, Low battery and overload indication.
  • [Easy to Read]: Travel scales for luggage equipped with clear backlit LCD screen for day and night visibility to accurately display weight and temperature.
  • [Portable Design]: Ideal size and perfect for suitcase weigher to take with you, easy for travel (net weight: 79g).



EAN: 8436613820254


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SKU: 96646023361

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4.6 ★★★★★
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Zachi
Lexington, 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
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Verified Purchase
Cliente Amazon
Grantham, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Carnegie, 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
S
Verified Purchase
Susan Landers
Port Orchard, US
★★★★★ 5
Great messages for toddlers
Format: Paperback
Great little book to teach toddlers why hitting is not acceptable. Nice messages, cute pictures. Overall, a good book to help with this challenging problem in toddlers and 3-5 year old boys.
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Reviewed in the United States on March 21, 2026
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Leah
Louisville, US
★★★★★ 5
Excellent product
Format: Paperback
This book actually got my 5 year old son to stop hitting his younger sister.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026

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