SKU: 96625816044

BLITZ FLD METER BOOST For BMW 523i DBA-FP25 N52B25A 15201

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Description

BLITZ FLD METER BOOST For BMW 523i DBA-FP25 N52B25A 15201Brand BLITZ Product Name FLD METER BOOST Product Number 15201 Compatible Car BMW 523i DBA FP25 Compatible Engine N52B25A Product Description Type: F10 Model Year: 10 07 11 10 Chassis Model: DBA FP25 exhaust amount CC: 2496 handle position: right connector position: 1 of the OBD connector some lid and compatible models of the interior panels or panel: 1 communication type: ISO rotation: ___ speed: ___ throttle: ___ temperature: ___ ATF oil temperature:

Brand
BLITZ
Product Name
FLD METER BOOST
Product Number
15201
Compatible Car
BMW 523i DBA-FP25
Compatible Engine
N52B25A
Product Description
Type: F10
Model Year: 10 / 07-11 / 10
Chassis Model: DBA-FP25
exhaust amount CC: 2496
handle position: right
connector position: 1 of the OBD connector some lid and
compatible models of the interior panels or panel: 1
communication type: ISO
rotation: ___
speed: ___
throttle: ___
temperature: ___
ATF oil temperature: Ã_
E / G oil temperature: Ã_
intake manifold boost: Ã_
Description: just connect to the fault diagnosis connector (OBD II), boost pressure, engine speed, the other, vehicle speed, water temperature, such as the three items displayed simultaneously as possible throttle opening, a completely new analog and digital meters. BLUE LED in conjunction with the
guidelines to emit light in a circle shape, equipped with a "LED LOOP GRAPH". In RED LED, it can be a warning zone settings and warning display.
body size combines the visibility and design, adopted a new development Ï_74 size. Dedicated holder, the function switch is also included. In
LIVE UNIT adoption, scalability excellent such as the output to a separate sensor of the external input and SD meters. Switching and of
imperial and metric, illumination dimming function (on line) also features.
Lexus / Toyota a dedicated model equipped with a communication of hybrid vehicles for the. You can display only items related to the battery and motor.
prepare the models with the Suzuki CAN communication. Suzuki vehicles since 2008 corresponds to the vehicle with a focus on.
Some Lexus / Toyota / Subaru-based models of, providing a possible model display engine oil temperature. Sensor is unnecessary, engine oil temperature can be displayed.
OBDII connector not installed and, already prepared the ignition power connection type for models that use the OBD connector. Up to three of the sensor information can be displayed in one of the meter sensor additional.
sold separately by a combination of harness, also supports the connector of the old Nissan car type.

Product Name: FLD METER BOOST
Notes
Images are for illustration purpose only. Actual product may vary.
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SKU: 96625816044

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4.0 ★★★★★
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Product Reviews
E
eyal Fishman
New York, 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
Cuba, 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
Waukegan, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Draper, 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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