SKU: 57314913038

1 PC Clutch Plate 8P-2051 for Caterpillar CAT 69D 769C 769D 770 770G 772 772G 777B 777D 777F 777G 966D 980C

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Description

1 PC Clutch Plate 8P-2051 for Caterpillar CAT 69D 769C 769D 770 770G 772 772G 777B 777D 777F 777G 966D 980C1 PC Clutch Plate 8P 2051 for Caterpillar CAT 69D 769C 769D 770 770G 772 772G 777B 777D 777F 777G 966D 980C Replace Part Number: CA8P 2051, 8P 2051, 8P2051, 385 6116, CA385 6116, 3856116, CA0R 4585, 0R 4585, 0R4585 Specification: Number of teeth: 5 Outer Diameter(mm): 380. 0 Inner Diameter(mm): 284. 0 Thickness(mm): 5. 0 Application: Fit for following models: CATERPILLAR ARTICULATED TRUCK: 735, 735B, 740, 740B, D250B, D250E, D250E II, D25C, D25D,

1 PC Clutch Plate 8P-2051 for Caterpillar CAT 69D 769C 769D 770 770G 772 772G 777B 777D 777F 777G 966D 980C

Replace Part Number:
CA8P-2051, 8P-2051, 8P2051, 385-6116, CA385-6116, 3856116, CA0R-4585, 0R-4585, 0R4585

Specification:
Number of teeth: 5
Outer Diameter(mm): 380.0
Inner Diameter(mm): 284.0
Thickness(mm): 5.0

Application:
Fit for following models:
CATERPILLAR ARTICULATED TRUCK: 735, 735B, 740, 740B, D250B, D250E, D250E II, D25C, D25D, D300B, D300E, D300E II, D400E II
CATERPILLAR EJECTOR TRUCK: 740, 740B, D400E II
CATERPILLAR LANDFILL COMPACTOR: 816F
CATERPILLAR LOAD HAUL DUMP: R1600, R1600G, R1600H, R1700 II, R1700G
CATERPILLAR PETROLEUM TRANSMISSION: CX48-P2300, TH48-E70, TH48-E80
CATERPILLAR PIPELAYER: 572R, 572R II, 578, 583R, 583T, 587R, 587T, PL83, PL87
CATERPILLAR PUMPER: SPF343C
CATERPILLAR QUARRY TRUCK: 771C, 771D
CATERPILLAR RECLAIMER MIXER: RM-350B
CATERPILLAR SOIL COMPACTOR: 815B, 815F
CATERPILLAR STABILIZER MIXER: SM-350
CATERPILLAR TRACK-TYPE TRACTOR: 30/30, D6H, D6H XL, D6H XR, D6R, D6R II, D6R III, D6R STD, D6T, D6T LGP, D6T XL, D7H, D7R, D7R II, D7R XR, D8N, D8R, D8R II, D8T, DEUCE
CATERPILLAR TRACTOR: 768C, 776C, 776D
CATERPILLAR TRUCK: 69D, 769C, 769D, 770, 770G, 770G OEM, 772, 772G, 772G OEM, 777B, 777D, 777F, 777G
CATERPILLAR UNDERGROUND ART TRUCK: AD40, AD45, AD45B, AD55, AE40, AE40 II
CATERPILLAR WHEEL DOZER: 814B, 814F
CATERPILLAR WHEEL LOADER: 966D, 966F, 966F II, 970F, 980C, 980F, 980F II, 980G, 980G II, 980H, 980K:
CATERPILLAR WHEEL SCRAPER: 615C
CATERPILLAR WHEEL TRACTOR: 611, 615, 637E

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SKU: 57314913038

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4.4 ★★★★★
Based on 6 reviews
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Product Reviews
E
eyal Fishman
Los Angeles, 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
Massapequa, 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
Houston, 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
Port Orchard, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2024

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