SKU: 58400142679
flower canna lily

flower canna lily Canna Lily Bulb, Tall Plant, Red Flowers, Purple Leaves, Canna indica, – Jayme Garden

Sale price$25.57 Regular price$28.41
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Ships within 48 hours · Estimated delivery Jul 21 - Jul 26

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Description

flower canna lily Canna Lily Bulb, Tall Plant, Red Flowers, Purple Leaves, Canna indica, – Jayme GardenCanna Lily Red Flower Tall Plant with Purple Leaves Bulb This stunning tropical beauty features large, vibrant red blooms and lush purple leaves, making it a perfect addition to any garden. With its ability to thrive in a variety of conditions, the Canna Lily is easy to grow and offers a long lasting display of color from summer to fall. Ideal for creating focal points or adding color to dull spaces, this low maintenance plant is perfect for beginner

Canna Lily Red Flower Tall Plant with Purple Leaves Bulb

This stunning tropical beauty features large, vibrant red blooms and lush purple leaves, making it a perfect addition to any garden. With its ability to thrive in a variety of conditions, the Canna Lily is easy to grow and offers a long-lasting display of color from summer to fall. Ideal for creating focal points or adding color to dull spaces, this low-maintenance plant is perfect for beginner gardeners.

  • Growth Habit: Tall, reaching up to 6 feet.
  • Flower Color: Bright red blooms.
  • Leaf Color: Lush purple foliage.
  • Ideal Location: Suitable for gardens or pots; can also thrive in water gardens.
  • Care Level: Low-maintenance and easy to grow.
  • Overwintering: Can be overwintered in Zone 6 and warmer with mulch.
  • Cut Flowers: Great for use in floral arrangements.

Product Attributes

Common Name: Canna Lily
Scientific Name: Canna indica
Sunlight: Full sun to partial shade
Watering: Moderate; keep soil moist but not soggy
Soil: Well-drained, rich soil
Hardiness Zones: 6-10
Growth Habit: Tall, upright growth; can reach up to 6 feet
Format: Bulb (wrapped with soil and wet newspaper for shipping)

Note: We do not ship to California due to plant restrictions and do not offer international shipping. For additional information regarding plant care and growing zones, please feel free to contact us.

Thank you for considering our Canna Lily bulb for your gardening needs. Happy shopping!

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SKU: 58400142679

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Product Reviews
E
eyal Fishman
Pawtucket, 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
Lexington, 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
Omaha, 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
Phoenix, 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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