SKU: 7735310256

HKM-358483 USB Adapter for iOS Devices - Supports Photo & Video Transfer from Digital Cameras

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Description

HKM-358483 USB Adapter for iOS Devices - Supports Photo & Video Transfer from Digital CamerasIntroducing the HKM 358483 USB Adapter for iOS Devices, designed to simplify the transfer of your precious photos and videos from digital cameras directly to your mobile device. This adapter is a practical solution for iOS users looking to enhance their mobile photography experience. Compatible with devices running iOS 9. 2 to iOS 12, it allows for seamless importing of captured moments stored in the "DCIM" folder of your digital camera. If you own a

Introducing the HKM-358483 USB Adapter for iOS Devices, designed to simplify the transfer of your precious photos and videos from digital cameras directly to your mobile device.

This adapter is a practical solution for iOS users looking to enhance their mobile photography experience. Compatible with devices running iOS 9.2 to iOS 12, it allows for seamless importing of captured moments stored in the "DCIM" folder of your digital camera. If you own a device with iOS 13 or later, you'll find even more versatility, as it enables the transfer of a wide range of files including photos, videos, Word, Excel, and PPT documents. Just ensure that your USB flash drive is formatted in FAT32 or exFAT for smooth operation.

Keep in mind that the HKM-358483 is specifically designed for connection purposes and does not support hard drives or any form of exporting to a USB drive. This piece of technology is straightforward; the lightning port is solely intended for charging your device, not for audio playback.

By investing in the HKM-358483 USB Adapter, you're not just acquiring a tool—you're opening the door to a more efficient and effective way to share and save your digital memories. Elevate your file transfer capabilities today with this indispensable adapter.

Note 1: If your mobile phone uses ios 9.2~ios 12 system and only imports photos and videos from the USB flash drive to the mobile phone, the images and videos should be obtained from the digital camera and saved in the "DCIM" folder. Exporting photos to U disk is not supported. If your phone is iOS 13, you can transfer most files to each other (for example: photos, videos, word, excel, ppt, etc.). ), please make sure your USB flash drive format is FAT32/exFAT.

Note 2. Our products are only responsible for connection. There are too many USB electronic devices in the world. If the iOS system is not compatible, our adapter will not work. Do not use it for hard drives.

Note 3: The lightning port is only used for charging, not for listening to music.

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SKU: 7735310256

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4.2 ★★★★★
Based on 11 reviews
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Product Reviews
E
eyal Fishman
Alexandria, 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
Bozeman, 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
Birmingham, 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
Cuba, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Cuba, 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.
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Reviewed in the United States on October 14, 2024

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