HA 3667 - J Talbot Store & Post Office, Sway, Hampshire
SKU: 76879661642

HA 3667 - J Talbot Store & Post Office, Sway, Hampshire

Sale price$9.86 Regular price$10.95
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Ships within 48 hours · Estimated delivery Jul 4 - Jul 9

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Description

HA 3667 - J Talbot Store & Post Office, Sway, HampshireThis photograph is a copy of the original. The size of the print is 12 x 8 Inches (roughly A4 size) The original image, from our own private collection, is scanned at high resolution, and the result then digitally enhanced to remove blemishes and to improve contrast & brightness. It is then professionally printed in a photo lab on superior quality, 280gsm Archival photo card, to ensure your image lasts a lifetime. The result is better than the

This photograph is a copy of the original. The size of the print is 12 x 8 Inches (roughly A4 size)

The original image, from our own private collection, is scanned at high resolution, and the result then digitally enhanced to remove blemishes and to improve contrast & brightness. It is then professionally printed in a photo lab on superior quality, 280gsm Archival photo card, to ensure your image lasts a lifetime. The result is better than the original and closer to how the image would have appeared originally. Please look at the picture on screen carefully as this is an accurate representation of exactly what you will receive.

The Watermarks "This Text Will Not Be On Your Photo" and "Image Protection" will not be on your print.

All orders will be sent securely in acid free protected sleeves, in board backed envelopes stamped with 'Please Do Not Bend'

Please see below for our FAQ.

Combined Postage?

Our postage cost is just £1.25 regardless of how many items you order. Just click "Add To Cart" on each item, and then when you are done shopping click the cart icon (Top right of the page) Here you will find all the items in your cart, with automatically applied combined postage. Then simply pay for everything altogether to complete your purchase. All our items are sent by 1st class post as standard.

What date is the image from?

Whenever a date is known it will always be included in the item title. If you don't see a date in the title of this listing, then unfortunately this means we don't have one for this particular image.

Shipping Notes
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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
SKU: 76879661642

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4.8 ★★★★★
Based on 739 reviews
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Product Reviews
E
eyal Fishman
Lexington, 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
Dallas, 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
Pawtucket, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Fort Morgan, 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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