SKU: 95187297423
large ficus altissima tree

large ficus altissima tree Ficus Altissima 'Lofty Fig' Seeds

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Description

large ficus altissima tree Ficus Altissima 'Lofty Fig' SeedsReady to level up your indoor jungle? Say hello to Ficus altissima, aka the Lofty Fig (or Council Tree). This stunning houseplant is a total showstopper, rocking large, glossy leaves with vibrant, contrasting veins that brighten up any room. It starts as a charming little desktop sprout and rapidly transforms into a magnificent indoor tree if given plenty of light. Instructions: These seeds grow slowly, so we recommend using the following to sow the

Ready to level up your indoor jungle? Say hello to Ficus altissima, aka the Lofty Fig (or Council Tree). This stunning houseplant is a total showstopper, rocking large, glossy leaves with vibrant, contrasting veins that brighten up any room. It starts as a charming little desktop sprout and rapidly transforms into a magnificent indoor tree if given plenty of light.

Instructions:

These seeds grow slowly, so we recommend using the following to sow the seeds: 

To plant the seeds:

Select a light and well-draining potting medium(like coconut fiber), and water it until it is very wet. Add it to your planter of choice, sow the seeds on the surface of the soil, cover with a humidity dome and keep in a warm spot(a heat mat is ideal) and in bright, indirect light. Leave the dome on and let it do it's thing! Only open it about once a week to add water and make sure it stays consistently moist until the seeds germinate.

These Ficus varieties like bright, indirect light. For the adult plants, let the soil dry between waterings and fertilize every couple of weeks during the growing season.

(Find more info on germinating seeds by going to our seed guide)

These seeds are for the 2026 growing season.

About the seeds:

difficulty

beginner | intermediate | advanced

germination time

15-90 days

depth

1/4” - 1/8"

spacing

2-3 seeds per nursery pot

recommended planter

2“-4" nursery pot to start(no terra cotta for germination)

time to maturity

 6 months - 1 year

seed prep

pre-soak | scarification | stratification | none

method

greenhouse | paper towel method

temperature

75F - 85F


About the Plants:

description

tall lush tree with glossy leaves

difficulty

beginner | intermediate | advanced

growth speed

slow | medium | fast

size of plant

6'(indoors)-40ft(outdoors) 

light

full sun | partial sun | shade | grow lights 

soil 

well-draining coconut coir/peat-based potting mix  

temperature 

warm | cool

pet-friendly

cats | dogs | no

pests

scale, mealy bugs, spider mites

fertilization

heavy | moderate | light

 

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SKU: 95187297423

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E
eyal Fishman
Draper, 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.
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Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
Whiting, US
★★★★★ 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
Z
Zachi
Grantham, 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.
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Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
Lowell, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
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Reviewed in the United States on August 23, 2024
E
Eugene
Battle Creek, 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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