SKU: 25003260159

Drive Transmission Belt Fit for Suzuki AN400 Burgman 2003-2006 #. 27601-15F10 Generic

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Description

Drive Transmission Belt Fit for Suzuki AN400 Burgman 2003-2006 #. 27601-15F10 GenericDrive Belt Transmission Belt Fit for Suzuki AN400 Burgman 400 Skywave 400 2003 2006 FEATURES: Designed for superior fit, performance and durability. Designed and manufactured to exacting specifications which meet or exceed OEM belt performance. These high performance belts provide maximum power transmission and superior clutch variator torque multiplier response. Without clutch recalibration Matches belt shift curves and pulley speed ratios with

Drive Belt Transmission Belt Fit for Suzuki AN400 Burgman 400 / Skywave 400 2003-2006

FEATURES:
-Designed for superior fit, performance and durability.Designed and manufactured to exacting specifications which meet or exceed OEM belt performance.
-These high-performance belts provide maximum power-transmission and superior clutch/variator torque-multiplier response.
-Without clutch recalibration - Matches belt shift curves and pulley speed ratios with minimal slip under extreme-torque conditions.
-Zero clutch/variator spring or fly-weight adjustment required at installation.Tuned your CVT system to get more performance from your machine.
-Rounded inner cog construction increases belt flexibility and improves clutch pulley intake and out-feed for smoother CVT operation.
-Model specific trapezoidal top-notch designs improve heat-dissipation for cooler belt and primary/secondary clutch operation.
-Professional install will be highly recommend,Installation instruction not included.

SPECIFICATIONS:
Condition: Aftermarket 100% Brand New
Material: Aramid fiber
Type: Drive belt
Quantity: 1pc

REFERENCE PART NUMBER(S):
27601-15F10-000

FITMENT:
Fit for Suzuki Burgman AN400 Scooter 2003-2006
Fit for Suzuki Skywave AN400 Scooter 2003-2006

PACKAGE INCLUDES:
1x Drive Belt

NOTE:
Please be awared of this part is not a original part, is an aftermarket part.
Before you purchase,please check out the details and size fits your bike or not.
We will not responsible for that if the belt is used under abnormal conditions.
(including but not exclusive to racing or any competitive event, case of improper installation, alignment, application clutch case sealing, towing or poor clutch condition.)


Shipping:
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Delivery Time: 2-6 working days

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
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Exchange/Return Notes
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SKU: 25003260159

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4.6 ★★★★★
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Product Reviews
E
eyal Fishman
Waukegan, 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
Natrona Heights, 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
Carnegie, 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
Houston, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
New York, 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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