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Description
seeds garden vegetable Heirloom Vegetable Seeds Survival Garden KitThis could be one of the best seed collection, best value for your garden! 39 Heirloom Varieties, High Germination rates. 100% USA Sourced, Non GMO, Heirloom Seeds for Planting Vegetables, Fruits & Herb. Top Quality You Can TrustOver 18,000 seeds, including 39 varieties: Basil (Genovese) 400 seedsBean (Lima Henderson) 25 seedsBean (Bush Tendergreen) 20 seedsBeet (Detroit Dark Red) 150Broccoli (Waltham 29) 500 seedsBrussels Sprouts (Long Island
This could be one of the best seed collection, best value for your garden! 39 Heirloom Varieties, High Germination rates.100% USA Sourced, Non-GMO, Heirloom Seeds for Planting Vegetables, Fruits & Herb. Top Quality You Can Trust
Over 18,000 seeds, including 39 varieties:
Basil (Genovese) - 400 seeds
Bean (Lima Henderson) - 25 seeds
Bean (Bush Tendergreen) - 20 seeds
Beet (Detroit Dark Red) - 150
Broccoli (Waltham 29) - 500 seeds
Brussels Sprouts (Long Island Improved) - 300 seeds
Cabbage (Golden Acre) - 300 seeds
Cantaloupe (Hales Best Jumbo) - 45 seeds
Carrot (Scarlet Nantes) - 1200 seeds
Cauliflower (Snowball Y Improved) - 320 seeds
Celery (Utah 52-70) - 3164 seeds
Corn (Golden Bantam) - 30 seeds
Cucumber (Marketmore 76) - 40 seeds
Eggplant (Black Beauty) - 100 seeds
Kale (Dwarf Blue Curled Scotch) - 300 seeds
Kohlrabi (Purple Vienna) - 200 seeds
Lettuce (Parris Island Cos Romaine) - 2200 seeds
Lettuce (Black Seeded Simpson Leaf) - 2000 seeds
Lettuce (Buttercrunch Butterhead) - 2000 seeds
Lettuce (Waldmann's Green Leaf) - 1400 seeds
Okra (Clemson Spineless) - 56 seeds
Onion (Evergreen Long White Bunching) - 200 seeds
Parsnip (All American) - 300 seeds
Pea (Sugar Daddy Snap) - 25 seeds
Parsley (Giant of Italy) - 500 seeds
Bell Pepper (Sweet California Wonder) - 100 seeds
Pumpkin (Sugar Pie) - 18 seeds
Radish (Cherry Belle) - 200 seeds
Radish (French Breakfast) - 200 seeds
Spinach (Bloomsdale) - 200 seeds
Sunflower (Mammoth) - 25 seeds
Swiss Chard (Fordhook Giant) - 100 seeds
Tarragon (Russian) - 500 seeds
Tomato (Roma VF) - 100 seeds
Tomato (Large Red Cherry) - 100 seeds
Turnip (Purple Top White Globe) - 600 seeds
Watermelon (Sugar Baby) - 45 seeds
Winter Squash (Waltham Butternut) - 32 seeds
Zucchini (Black Beauty) - 25 seeds
OUTSTANDING MEANINGFUL GIFT - for couples, vegetarians, vegans, gardeners, house survivalists, and people looking for a new hobby or trying something new. It can be used for various occasions - housewarming, babyshower, birthday, anniversary gift, and more.
EASY TO GROW & HIGH YIELD - Each packet in our seeds variety pack has its own label with a QR code for online growing instructions.
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4.3 ★★★★★
Based on 28 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.
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Reviewed in the United States on September 10, 2025
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
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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.
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Reviewed in the United States on September 20, 2025
★★★★★ 5
All OK.
Format: Paperback
All OK.
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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