1969 Chevrolet Blazer 350/5.7L V8 Carburetor 600CFM 4 Barrel 0-80457S 80457SA
SKU: 49078411432

1969 Chevrolet Blazer 350/5.7L V8 Carburetor 600CFM 4 Barrel 0-80457S 80457SA

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Description

1969 Chevrolet Blazer 350/5.7L V8 Carburetor 600CFM 4 Barrel 0-80457S 80457SA0 80457S Carburetor 600CFM 4 Barrel For Holley 4160 Feature: 1: According to the original factory specifications,perfect match for the original car. 2: Own different test machines to design exact accurate parameter for our products. All items were tested for performance. 3: Made by high quality material, lightweight, anti rust, colorfast and durable. 4: Aftermarket product with premium quality. 5: Stable performance, high reliability,suitable for

0-80457S Carburetor 600CFM 4 Barrel For Holley 4160

Feature:
1: According to the original factory specifications,perfect match for the original car.
2: Own different test machines to design exact accurate parameter for our products.All items were tested for performance.
3: Made by high quality material, lightweight, anti-rust, colorfast and durable.
4: Aftermarket product with premium quality.
5: Stable performance, high reliability,suitable for replacing your broken one.

Specifics:
Condition: 100% Brand New
Material: Metal
Manufacturer Part Number: 80457SA, 0-80457S
Interchange Part Number: 0-80457S
Other Part Number: Holley 4160
Type: Carburetor
Features: Square bore air valve, 600CFM, Single Inlet锛? Barrel
Mounting Flange Type: Square Bore
Choke Type: Electric
Barrel Count: 4
Circuit: 2
Emission Code: 3
Finish: Shiny
Fuel: Gasoline
Fuel Inlet: Dual
Fuel System: Carbureted
High Speed Air Bleed: 28:28
Idle Air Bleed Size: 70; 70
Primary Main Jet: 70
Primary Power Valve: 6.5
Primary Pump Nozzle Size: 31
Primary Venturii Size: 1.300"
Product Type: Carburetor
Secondaries: Vacuum
Secondary Main Jet: 74
Secondary Venturii Size: 1.300"
Supercharged Application: No
Throttle Bore: 1 11/16"
Fitment Type:Direct Replacement

Fitment:
This carb is universal and will work on any engine that has a square bore intake manifold and can use 600CFM but it is not a direct replacement for any OE carb Factory Refurbished Carburetors have limited availability.
Year Make Model Engine Size
1961 - 1967 Mercury Commuter 390/6.4L V8
1961 - 1967 Ford Thunderbird 390/6.4L V8
1962 - 1967 Mercury Colony Park 390/6.4L V8
1962 - 1967 Ford Country Sedan 390/6.4L V8
1962 - 1967 Ford Country Squire 390/6.4L V8
1962 - 1967 Ford Galaxie 390/6.4L V8
1962 - 1967 Ford Ranch Wagon 390/6.4L V8
1962 - 1966 Mercury Monterey 390/6.4L V8
1963 - 1967 Mercury Marauder 390/6.4L V8
1963 - 1967 Ford Thunderbird 427/7L V8
1966 - 1969 Chevrolet El Camino 327/5.3L V8
1964 - 1967 Ford Country Sedan 352/5.8L V8
1964 - 1967 Ford Country Squire 352/5.8L V8
1966 - 1969 Dodge Charger 383/6.3L V8
1964 - 1967 Ford Custom 390/6.4L V8
1964 - 1967 Ford Fairlane 390/6.4L V8
1964 - 1967 Ford Country Squire 427/7L V8
1964 - 1967 Ford Ranch Wagon 427/7L V8
1965 - 1968 Ford LTD 428/7L V8
1967 - 1969 American Motors Ambassador 290/4.7L V8
1966 - 1968 Chevrolet Bel Air 327/5.3L V8
1966 - 1968 Chevrolet Biscayne 327/5.3L V8
1966 - 1968 Chevrolet C10 Pickup 327/5.3L V8
1966 - 1968 Chevrolet Caprice 327/5.3L V8
1966 - 1968 Chevrolet Chevelle 327/5.3L V8
1966 - 1968 Chevrolet Chevy II 327/5.3L V8
1966 - 1968 Chevrolet Corvette 327/5.3L V8
1966 - 1968 Chevrolet Impala 327/5.3L V8
1966 - 1968 Chevrolet K10 Pickup 327/5.3L V8
1966 - 1968 Chevrolet Chevy II 327/5.4L V8
1966 - 1968 Chevrolet Impala 327/5.4L V8
1967 - 1969 Chevrolet Camaro 350/5.7L V8
1964 - 1966 Ford Custom 500 352/5.8L V8
1964 - 1966 Ford Custom 352/5.8L V8
1964 - 1966 Ford Galaxie 352/5.8L V8
1964 - 1966 Ford Ranch Wagon 352/5.8L V8
1967 - 1969 Chrysler Town & Country 383/6.3L V8
1967 - 1969 Dodge Coronet 383/6.3L V8
1967 - 1969 Dodge Monaco 383/6.3L V8
1964 - 1966 Mercury Park Lane 390/6.4L V8
1962 - 1964 Ford Galaxie 500 390/6.4L V8
1965 - 1967 Mercury Monterey 427/7L V8
1965 - 1967 Mercury Park Lane 427/7L V8
1965 - 1967 Mercury Colony Park 427/7L V8
1964 - 1966 Ford Country Sedan 427/7L V8
1965 - 1967 Ford Fairlane 427/7L V8
1965 - 1967 Mercury Comet 427/7L V8
1965 - 1967 Mercury Commuter 427/7L V8
1965 - 1967 Mercury Montclair 427/7L V8
1965 - 1967 Ford Galaxie 427/7L V8
1965 - 1967 Ford LTD 427/7L V8
1966 - 1968 Mercury Colony Park 428/7L V8
1966 - 1968 Ford Ranch Wagon 428/7L V8
1967 - 1968 Chevrolet Camaro 327/5.3L V8
1966 - 1967 Chevrolet Malibu 327/5.3L V8
1967 - 1968 Chevrolet Chevelle 327/5.4L V8
1967 - 1968 American Motors American 343/5.6L V8
1968 - 1969 Oldsmobile Cutlass 350/5.7L V8
1968 - 1969 Oldsmobile Delta 88 350/5.7L V8
1968 - 1969 Oldsmobile F85 350/5.7L V8
1968 - 1969 Oldsmobile Vista Cruiser 350/5.7L V8
1968 - 1969 Pontiac Firebird 350/5.7L V8
1968 - 1969 Oldsmobile Cutlass Supreme 350/5.7L V8
1968 - 1969 Buick Special 350/5.7L V8
1968 - 1969 Pontiac Tempest 350/5.7L V8
1968 - 1969 Buick Skylark 350/5.7L V8
1968 - 1969 Chevrolet Chevelle 350/5.7L V8
1968 - 1969 Chevrolet El Camino 350/5.7L V8
1965 - 1966 Ford LTD 352/5.8L V8
1968 - 1969 Chrysler Newport 383/6.3L V8
1968 - 1969 Dodge Polara 383/6.3L V8
1966 - 1967 Mercury Voyager 390/6.4L V8
1968 - 1969 American Motors Ambassador 390/6.4L V8
1968 - 1969 American Motors AMX 390/6.4L V8
1968 - 1969 American Motors Rebel 390/6.4L V8
1966 - 1967 Mercury Villager 390/6.4L V8
1968 - 1969 American Motors Javelin 390/6.4L V8
1966 - 1967 Mercury Cyclone 390/6.4L V8
1964 - 1965 Mercury Montclair 390/6.4L V8
1966 - 1967 Ford LTD 390/6.4L V8
1968 - 1969 Buick GS 400 400/6.6L V8
1968 - 1969 Buick Sportwagon 400/6.6L V8
1967 - 1968 Buick Skylark 400/6.6L V8
1966 - 1967 Mercury Monterey 410/6.7L V8
1966 - 1967 Mercury Park Lane 410/6.7L V8
1966 - 1967 Mercury Colony Park 410/6.7L V8
1966 - 1967 Mercury Commuter 410/6.7L V8
1966 - 1967 Mercury Montclair 410/6.7L V8
1966 - 1967 Mercury Monterey 428/7L V8
1966 - 1967 Mercury Park Lane 428/7L V8
1966 - 1967 Mercury Commuter 428/7L V8
1967 - 1968 Mercury Marquis 428/7L V8
1966 - 1967 Mercury Montclair 428/7L V8
1966 - 1967 Ford Thunderbird 428/7L V8
1966 - 1967 Ford Galaxie 428/7L V8
1964 Ford Galaxie 500 289/4.7L V8
1964 Ford Custom 289/4.7L V8
1966 Mercury Capri 289/4.7L V8
1969 American Motors Ambassador 290/4.8L V8
1969 Mercury Cougar 302/5L V8
1968 Chevrolet C10 Suburban 327/5.3L V8
1968 Chevrolet K10 Suburban 327/5.3L V8
1966 Chevrolet Suburban 327/5.3L V8
1967 Chevrolet K20 Panel 327/5.4L V8
1968 Chevrolet Bel Air 327/5.4L V8
1968 Chevrolet Biscayne 327/5.4L V8
1968 Chevrolet C10 Pickup 327/5.4L V8
1968 Chevrolet C10 Suburban 327/5.4L V8
1968 Chevrolet Camaro 327/5.4L V8
1968 Chevrolet Caprice 327/5.4L V8
1968 Chevrolet Corvette 327/5.4L V8
1968 Chevrolet K10 Pickup 327/5.4L V8
1968 Chevrolet K10 Suburban 327/5.4L V8
1968 Chevrolet El Camino 327/5.4L V8
1968 American Motors Rebel 343/5.6L V8
1969 American Motors Rambler 343/5.6L V8
1968 Oldsmobile Delmont 88 350/5.7L V8
1969 Buick GS 350 350/5.7L V8
1968 Pontiac Acadian 350/5.7L V8
1969 Chevrolet Nova 350/5.7L V8
1968 Buick Sportwagon 350/5.7L V8
1968 Pontiac Beaumont 350/5.7L V8
1969 Buick LeSabre 350/5.7L V8
1969 Chevrolet Bel Air 350/5.7L V8
1969 Chevrolet Biscayne 350/5.7L V8
1969 Chevrolet Blazer 350/5.7L V8
1969 Chevrolet Brookwood 350/5.7L V8
1969 Chevrolet C10 Pickup 350/5.7L V8
1969 Chevrolet C10 Suburban 350/5.7L V8
1969 Chevrolet Caprice 350/5.7L V8
1968 Chevrolet Chevy II 350/5.7L V8
1969 Chevrolet Corvette 350/5.7L V8
1969 Chevrolet Impala 350/5.7L V8
1969 Chevrolet K10 Pickup 350/5.7L V8
1969 Chevrolet K10 Suburban 350/5.7L V8
1969 Chevrolet Kingswood 350/5.7L V8
1969 Chevrolet Townsman 350/5.7L V8
1969 Ford Torino 351/5.8L V8
1969 Ford Fairlane 351/5.8L V8
1969 Ford Mustang 351/5.8L V8
1969 Ford Ranchero 351/5.8L V8
1964 Ford Galaxie 500 352/5.8L V8
1966 Ford Fairlane 352/5.8L V8
1968 Dodge Dart 383/6.3L V8
1969 American Motors Rambler 390/6.4L V8
1967 Mercury Cougar 390/6.4L V8
1961 Mercury Meteor 390/6.4L V8
1967 Mercury Brougham 390/6.4L V8
1967 Ford Mustang 390/6.4L V8
1968 Chevrolet C10 Pickup 396/6.5L V8
1968 Chevrolet C10 Suburban 396/6.5L V8
1968 Chevrolet K10 Pickup 396/6.5L V8
1968 Chevrolet K10 Suburban 396/6.5L V8
1967 Buick Gran Sport 400/6.6L V8
1967 Mercury Marquis 410/6.7L V8
1967 Mercury Brougham 410/6.7L V8
1965 Mercury Villager 427/7L V8
1966 Ford Custom 427/7L V8
1965 Mercury Cyclone 427/7L V8
1965 Mercury Marauder 427/7L V8
1967 Mercury Marquis 427/7L V8
1967 Mercury Brougham 427/7L V8
1965 Mercury Caliente 427/7L V8
1966 Ford Custom 428/7L V8
1966 Ford Country Sedan 428/7L V8
1966 Ford Country Squire 428/7L V8
1967 Mercury Brougham 428/7L V8

***If you are not sure, please provide vin for us

Package Include:
1 x 0-80457S Carburetor
High Quality, Strictly tested.
(Instruction is not inclued!)

Note:
1.Please check the description or use the year/make/model check finder and replace part numbers to confirm the compatibility before purchasing.
2.Professional installation is recommended.

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
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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: 49078411432

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4.3 ★★★★★
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Product Reviews
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Verified Purchase
Dennis_Linux
Whiting, US
★★★★★ 5
A must-read for professionals seeking to stay ahead in a rapidly evolving landscape.
Format: Kindle
“ChatGPT for Cybersecurity Cookbook” by Clint Bodungen offers a well-organized, practical deep dive into the integration of generative AI, specifically ChatGPT, within cybersecurity. From the perspective of a cybersecurity professional, this book stands out as a valuable resource for anyone looking to modernize and automate many of the repetitive tasks in cybersecurity, such as threat analysis, vulnerability management, and policy creation. The book’s greatest strength lies in its focus on practical, actionable “recipes.” Each chapter walks you through real-world use cases for applying ChatGPT to cybersecurity operations. For instance, Bodungen effectively demonstrates how to automate penetration testing and vulnerability assessments using AI-driven techniques, something that can significantly streamline the red team’s workflow . The book’s use of LangChain for parsing and analyzing vulnerability reports, as well as integrating AI for governance, risk, and compliance (GRC) assessments, provides blue teams with a powerful set of tools for enhancing their day-to-day operations . One of the highlights is how the author tackles threat intelligence, using ChatGPT alongside the MITRE ATT&CK framework, which can help automate complex tasks like identifying and categorizing threat actors and their tactics, techniques, and procedures (TTPs). For any seasoned cybersecurity analyst, this can save a lot of time and reduce human error when managing large volumes of data . However, it’s important to note that the book assumes a decent understanding of Python and core cybersecurity concepts. It’s not for absolute beginners but provides significant value for professionals looking to integrate AI into their operations more efficiently.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 17, 2024
P
Verified Purchase
Plinth
Fort Morgan, US
★★★★★ 5
A Career-Changing Read for Cybersecurity Professionals
Format: Paperback
This book completely changed the trajectory of my career. As a self-taught security professional with 30 years of experience, I found myself feeling stagnant and losing interest in cybersecurity. The rapid changes in the field made me question my next steps, and I had zero knowledge of Generative AI, let alone its applications in cybersecurity. Then, the week this book was released, I bought it—and told no one. It was my personal experiment, a chance to dive into something new. Since then, I’ve read multiple books on Generative AI for Cyber, applied the concepts, and expanded my expertise. Today, I am considered the SME for Cyber AI in my organization, actively participating in AI working groups, and regularly speaking, mentoring, and presenting on the topic. In fact, I was the third reviewer of this book (5 stars) and deleted the review after about a week. I didn’t want someone who knew me to connect the review to me and figure out how I got so smart on the topic so quickly. Now, I’m back, giving it the review it truly deserves. This book reignited my passion for cybersecurity and relaunched my career. If you're in cyber and looking for a way to break through stagnation or explore the future of AI in security, this is the book that could redefine your path—just like it did for me.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 4, 2025
B
Verified Purchase
Bryan
Charlottesville, US
★★★★★ 5
Clint is the Real Deal and this is an Excellent Book!
Format: Paperback, Format: Paperback
Clint knows his stuff, and I’ve also taken his accompanying training course. This book will give you some insights in how to apply a variety of techniques around ChatGPT and other engines and how to use them effectively in your job. Highly recommended!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 21, 2024
T
Verified Purchase
Troy Cruzen
Cuba, US
★★★★★ 3
Happy to have the book - damaged though
Format: Paperback, Format: Paperback
Excited to dive into this book but don’t love that it’s damaged.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 19, 2024
T
Tiny
Charlottesville, US
★★★★★ 5
Great GPT reference
Format: Paperback
Everyone I know is seeking the best options to build AI/ML, and GPT solutions into their current offerings. The “ChatGPT for Cybersecurity Cookbook” (Packt, 2024) by Clint Bodungen offers a detailed schematic for building effective ML solutions into existing practices. The book includes ten chapters, each focusing on a different area. The areas demonstrate clear solutions for framing a solution, building effective tools and library interactions, explaining what the solution accomplishes, and offering advanced solutions. Recommend the book for anyone working to improve their ability to use ChatGpt in accelerating cybersecurity solutions. Each section approaches a different solution but the overall format is an outstanding deep dive for each section. The analysis starts with an introduction to the roles and formats. This details how to construct the ChatGPT query with enough guidance to answer the desired question. The next step suggests how the AI/ML tools find the right answers. The last section in every chapter details a “there’s more” showing how to expand the different questions. Chapters include building ChatGPT into Python language and API calls so one can not just launch a query, but have the query launch every time code executes. All the chapters follow the same path but with different answers. This cookbook shows how roles and queries can be modified to deliver what one wants. One of the biggest benefits is seeing role construction from a cybersecurity expert with 20 years of governance experience to a threat analyst who desires to incorporate MITRE’s ATT&CK frameworks. The book demonstrates how to dig into the various sections for success. Some of the later sections demonstrate how one can point ChatGPT at specific data factors, for example, the AI tool can not execute commands to find traffic data but can be pointed to already collected traffic data to summarize answers. One key flaw to remember is ChatGPT does not solve security problems for you. The best solutions point to frameworks and potential answers. The frameworks still need to be executed by a team or individual to create effective software models, it is just a step ahead in the overall process. That same framework really shows up in the threat analysis, training, and incident response sectors. Each solution builds a format to suggest some answers if pointed at the correct data. The answers are likely to be accurate but one still may need to verify against existing data and metrics. The other gap maybe if the ChatGPT tool is not pointed at specific information, answers may be skewed to what it can achieve. Overall, if you want a quick way to incorporate an AI/ML tool, then “ChatGPT for Cybersecurity Cookbook” provides an excellent reference. From the cookbook perspective, one gets all the recipes for various security items, what the finished product should look like, and potential areas to improve in the future. The explanations are all geared to cybersecurity Recommend this as a key reference for anyone working with ChatGPT functions.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 11, 2024

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