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Ships within 48 hours · Estimated delivery Jul 4 - Jul 9
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Description
3.5 Cu.Ft Small Refrigerator with freezer, Compact Refrigerator, Retro Fridge with Dual Door,7 Level Adjustable Thermostat for Garage, Dorm,Bedroom, Office, Apartment-RedNote: After receiving the package, it is recommended to let it stand for 24 hours before use, and set the thermostat to level 7 to achieve the maximum cooling effect. We recommend that you read the user manual before using. Adjustable Temperature Control: This compact refrigerator and freezer supports 7 temperature Settings, from 5 to 10 C freezer 0 to 18 C freezer. This design can meet the different requirements of various foods. Humane Design: LED
- Note: After receiving the package, it is recommended to let it stand for 24 hours before use, and set the thermostat to level 7 to achieve the maximum cooling effect. We recommend that you read the user manual before using.
- Adjustable Temperature Control: This compact refrigerator and freezer supports 7 temperature Settings, from 5 to 10 °C freezer / 0 to -18 ° C freezer. This design can meet the different requirements of various foods.
- Humane Design: LED interior lighting puts a natural focus on the food in the refrigerator under the counter. The sturdy glass shelves can be adjusted if you want to organize higher food or drinks. This wine rack can hold several bottles of wine. The bottom refrigerator door has an egg rack and a beverage rack to expand the storage area.
- Adjustable Horizontal Legs: The adjustable horizontal legs make it easy and quick to adapt to uneven ground. You can put it in your dorm room, office, apartment, college room, RV, etc.
- Double Door Design: The refrigerator has a large capacity of up to 3.5 cu.ft. Double Door Design. This refrigerator is 2.3 cu.ft in size. Keep food neat fresh food capacity and 1.2 cu.ft. Freezing capacity for storing frozen food. You can access a mini freezer or cold room with two exterior doors.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.8 ★★★★★
Based on 203 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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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