SKU: 8387755515

6PCS Fuel Injector 1001-87091 Fit Denso 650CC Fit Toyota Supra JZA80 2JZGTE 2JZ

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Description

6PCS Fuel Injector 1001-87091 Fit Denso 650CC Fit Toyota Supra JZA80 2JZGTE 2JZThese High Impedance fuel injectors have been 100% tested and exactly match the internal coil resistance and fuel flow rate of OEM fuel injectors. The individual flow characteristics and fuel atomization of above fuel injectors are almost same to or superior to the OEM and will help accelerate response time, save gasoline and improve MPG. Specifications: Product Name: Fuel Injector Condition: Brand New Warranty: 180 days Fitment Type: Direct

These High Impedance fuel injectors have been 100% tested and exactly match the internal coil resistance and fuel flow rate of OEM fuel injectors.The individual flow characteristics and fuel atomization of above fuel injectors are almost same to or superior to the OEM and will help accelerate response time, save gasoline and improve MPG.

Specifications:
Product Name: Fuel Injector
Condition: Brand New
Warranty: 180 days
Fitment Type: Direct Replacement
Manufacture Part Number: 1001-87091, 100187091, 1JZ-GTE, 2ZJ-GTE, 3SGTE, VG30DETT, 100187091, 63813, SH650A, SR63561, SR63564, 63561, 63564

Fitment:
For TOYOTA For LEXUS SUPRA (JZA80) 2ZJ-GTE 2ZJ-GTE (VVT-i)
For TOYOTA For LEXUS SUPRA (JZA70) 1JZ-GTE
For TOYOTA For LEXUS ARISTO 2ZJ-GTE 2ZJ-GTE (VVT-i)
For TOYOTA For LEXUS SOARER (JZZ30) 1ZJ-GTE
For TOYOTA For LEXUS MR2 (SW20) 3SGTE
For TOYOTA For LEXUS CELICA GT4 3SGTE

Package included:
6 X Fuel Injector (Same as pictures show !!!)

Note:
Due to the difference between different monitors, the pictures may not reflect the actual color of the item.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
24-Hour Expert Online: Solve your installation and product problems

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
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SKU: 8387755515

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4.3 ★★★★★
Based on 8 reviews
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Product Reviews
E
eyal Fishman
Battle Creek, 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
Lexington, 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
Boise, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Whiting, 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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