SKU: 96161993488

We Fought 18"X18" Open Edition Print

Sale price$151.20 Regular price$168.00
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Description

We Fought 18"X18" Open Edition PrintWe fought for and braved More than most could tame Through darkness and clouds Our hearts stayed in the game. Dont fade now, dont let go The war is not done Dont leave me alone, Before weve won. [We Fought poem by Ana Luca 2021. Poem featured in Ana Luca's book, The People We Meet.] QUALITY Printed to gallery standards on high quality archival, acid free, heavy weight paper to preserve longevity. Paper has smooth matte finish. COLOR Features

We fought for and braved
More than most could tame
Through darkness and clouds
Our hearts stayed in the game.

Don’t fade now, don’t let go
The war is not done
Don’t leave me alone,
Before we’ve won.

[”We Fought” poem by Ana Luca © 2021. Poem featured in Ana Luca's book, The People We Meet.]

QUALITY
Printed to gallery standards on high-quality archival, acid-free, heavy weight paper to preserve longevity. Paper has smooth matte finish.

COLOR
Features beautifully vibrant colors. Please note that colors on your monitor display may vary slightly from the actual print.

YEAR
Copyright © 2021 Ana Luca. All rights reserved.

SIZE
18" X 18"

MEDIUM
Ink on museum-grade, premium archival matte paper. Artwork is printed using giclée printing technique, applying a superior inkjet process onto paper.

FRAMING
Art comes unframed.

CARE
For maximum longevity, do not display artwork in direct sunlight as this may cause fading over time.

SHIPPING
Fine art print arrives rolled in a mailing tube for safety. Made-to-order in the USA. Shipping available to US and Canada addresses only. Please allow 6-10 business days for our studio to print the artwork and 2-7 additional business days for standard shipping. We are not responsible for carrier delays. You will receive an order tracking number via email once your order has shipped.

RETURNS
We are unable to offer order cancellations, refunds, or exchanges of artwork. Art sales are final. In the unlikely event that an art print arrives damaged, please see our Return Policy for replacement instructions.

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: 96161993488

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4.5 ★★★★★
Based on 26 reviews
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Product Reviews
E
eyal Fishman
Bozeman, 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
Pawtucket, 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
West Palm Beach, 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
Carnegie, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Louisville, 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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