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Description
nuna mixx stroller near me Nuna MIXX Next StrollerPack up and go anywhere with MIXX next. On the move, its a smooth ride you can maneuver with one hand. Packed away, its Compact fold away axle lets it fit into tighter spaces, so you can take more trips to more places. Now with MagneTech Secure Snap, the self guiding magnetic buckle that automatically locks into place, your next adventure is that much simpler. MIXX next can be used from birth to 50 lb. Four modes PIPA series infant car seat, bassinet,
Pack up and go anywhere with MIXX next. On the move, it’s a smooth ride you can maneuver with one hand. Packed away, its Compact fold-away axle lets it fit into tighter spaces, so you can take more trips to more places. Now with MagneTech Secure Snap, the self-guiding magnetic buckle that automatically locks into place, your next adventure is that much simpler.
MIXX next can be used from birth to 50 lb.
- Four modes — PIPA series infant car seat, bassinet, seat parent facing or world facing
- Ring adapter is included for an easy on/off one-click travel system
- NEW! Rear-wheel Free Flex suspension and front-wheel progressive suspension technology
- NEW! Compact fold-away axle for a more compact fold
- NEW! Stands when folded
- A one-piece fuss-free, compact fold no matter which way the seat is facing
- All-season seat keeps baby cozy in winter and unsnaps to mesh in summer
- One-touch, rear wheel braking system is strong and responsive
- Easy to flip the seat and switch to bassinet or travel system modes
- Quick release five-point harness for secure strolling
- True-flat recline
- Five position recline: easily adjusts with one hand
- Adjustable calf support with integrated footrest
- Super convenient, automatic quick-click fold lock and trolley function when folded
- Height adjustable push bar
- Smart and stately dark matte frame with chrome black wheels
- Luxe leatherette accented pushbar and armbar
- UPF 50+ canopy is water repellent and extendable and features a flip out eyeshade, ventilation panel and window
- Two compartment basket including secret zipper pocket
- Cell phone pocket on seat back
- Removable arm bar fits kids of all sizes
- Removable two-piece bamboo blend fabric seat insert grows with baby
- No re-thread harness for easy adjustments
- Tough, rubber foam filled tires are ready for any terrain
Recommended use: Birth to 50 lbs
Product: L 32.7 x W 23.6 x H 45.3 inches
Product (folded): L 27.5 x W 23.6 x H 19 inches
Product weight: 28.3 lbs (*without armbar and insert)
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4.4 ★★★★★
Based on 17 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
WAS THIS REVIEW HELPFUL?YesReportShare
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