SKU: 3819418844

ANHTCzyx 12V 8A / 24V 4A Automobile Battery Charger Motorcycle Battery Repair Type AGM, US Plug (Red), EU Plug (Red), UK Plug (Red), AU Plug (Red)

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Description

ANHTCzyx 12V 8A / 24V 4A Automobile Battery Charger Motorcycle Battery Repair Type AGM, US Plug (Red), EU Plug (Red), UK Plug (Red), AU Plug (Red)1. Microprocessor control (CPU). 2. 3 stage automatic charging: 3. This is a fully automatic battery charger with 3 charging stages. 4. Automatic charging prevents the battery from overcharging. Therefore, you can connect the charger to the battery indefinitely. 5. Level 3 charger is suitable for most battery types, including calcium, gel and AGM, wet batteries. They can also help restore exhausted sulfuric acid batteries. 6. Battery type: Most types

1. Microprocessor control (CPU).
2. 3-stage automatic charging:
3. This is a fully automatic battery charger with 3 charging stages.
4. Automatic charging prevents the battery from overcharging. Therefore, you can connect the charger to the battery indefinitely.
5. Level 3 charger is suitable for most battery types, including calcium, gel and AGM, wet batteries. They can also help restore exhausted sulfuric acid batteries.
6. Battery type: Most types of lead-acid batteries, including calcium, GEL and AGM, wet, EFB, etc.
7. Switch mode technology: yes
8. Polarity protection: yes
9. Output short circuit protection: yes
10. Non-battery link protection: yes
11. Overvoltage protection: Yes
12. Overheat protection: Yes
13. Cooling: fan
14. Input voltage: 100-240V AC, 50-60Hz
15. Rated output: 12V 8A 24V 4A
16. Minimum starting voltage: 2.0V
17. Battery range: 6-150Ah
18. Thermal protection: 65 degrees Celsius +/- 5 degrees Celsius
19. Efficiency: application. 85 degrees.
20. Meet the standards: CB, CE, IEC60335, EN61000, EN55014
21. Dimensions (length x width x height): 170×98×58mm
22. Weight: 560g


Specification:
Package Weight
One Package Weight 0.75kgs / 1.65lb
One Package Size 17cm * 9.8cm * 5.8cm / 6.69inch * 3.86inch * 2.28inch
Qty per Carton 30
Carton Weight 22.35kgs / 49.27lb
Carton Size 36cm * 32cm * 31cm / 14.17inch * 12.6inch * 12.2inch
Loading Container 20GP: 746 cartons * 30 pcs = 22380 pcs
40HQ: 1733 cartons * 30 pcs = 51990 pcs

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SKU: 3819418844

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4.6 ★★★★★
Based on 7 reviews
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Product Reviews
E
eyal Fishman
Whiting, 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
Lexington, 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
Battle Creek, 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
Alexandria, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Grantham, 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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