Aidusa Ombre Braiding Hair Purple To Pink Afro Jumbo Braiding Hair Extensions 5Pcs Synthetic 24 Inch 3 Tones For Women Twist Cro
SKU: 33583580631

Aidusa Ombre Braiding Hair Purple To Pink Afro Jumbo Braiding Hair Extensions 5Pcs Synthetic 24 Inch 3 Tones For Women Twist Cro

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Description

Aidusa Ombre Braiding Hair Purple To Pink Afro Jumbo Braiding Hair Extensions 5Pcs Synthetic 24 Inch 3 Tones For Women Twist CroAbout Product 24 Inch Synthetic High Temperature Fiber Braids Soft Hair, Suit For Box Braids, Senegal Twist, African Braids Etc No Smell, Soft, Durable, No Shedding, Healthy, Light, Comfortable 100G Bundle, Usually 5 8Pcs Can Make A Full Head Package Included: 5 Pieces Braids + 1 Crochet Needle+ Random Ring Beads + Rubber Bands Hair Parameter Hair Type: Braiding Hair Extension Length: 24 Inches (48 Inches When Unfolded It) Weight: 100G Piece Material:

About Product 24 Inch Synthetic High Temperature Fiber Braids Soft Hair, Suit For Box Braids, Senegal Twist, African Braids Etc No Smell, Soft, Durable, No Shedding, Healthy, Light, Comfortable 100G/Bundle, Usually 5-8Pcs Can Make A Full Head Package Included:5 Pieces Braids + 1 Crochet Needle+ Random Ring Beads + Rubber Bands Hair Parameter Hair Type: Braiding Hair Extension Length: 24 Inches (48 Inches When Unfolded It) Weight: 100G/Piece Material: 100% High Temperature Synthetic Hair For Braiding Color: Four Colors Package Includes: 5 Pcs Synthetic Braiding Hair Service: Please Contact Me If You Have Any Questions. We Will Reply You In 12 Hours. It'S Our Pleasure To Serve You Tips: 1.Closure The Braids Hair Ends By These Ways: Hot Water, Boiling Water, Hair Dryer, Hair Straightener 2.Usually 5-8 Packs Can Do A Full Head. It Depends On The Hairstyle And How Thick The Braids You Want 3.Use Your Imagination Try Different Colors, Enjoy Different Hairstyles Faq 1.How Many Pieces Do I Need For A Full Head? The Weight Is 100G/Pcs. Usually 5-8 Pieces Can Make A Full Head. It Depends On The Hairstyle And How Thick The Braids You Want. 2.How To Closure The End Of The Hair Seal The End With A Small Rubber Band. Or Use A Hot Blower To Closure The End, And The Temperature Is About 220 Degrees Centigrade 3. Is This Item Easy To Use? Yes, It'S Soft Hair Can Easy To Crochet And Make A Braiding

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SKU: 33583580631

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4.3 ★★★★★
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Product Reviews
E
eyal Fishman
Charlottesville, 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
Houston, 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
Chelsea, 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
Draper, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Omaha, 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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