SKU: 8799918346

Asahi Pentax KM | SLR Film Camera | Good

Sale price$5400.00 Regular price$6000.00
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Description

Asahi Pentax KM | SLR Film Camera | GoodBrand: Pentax Name: Asahi Pentax KM Type: Manual SLR Type of Film: 35mm CPB Body Code: JL41 Shutter: Mechanical horizontal travel cloth shutter, 1 sec 1 1000 sec + Bulb Metering: TTL center weighted NOT WORKING Lens Mount: Pentax K Mount Condition: Good The Asahi Pentax KM (JL41) has been inspected by CPB Darkroom and is mechanically functional. The shutter fires correctly across speeds, and film advance and control dials operate smoothly. The light

Brand: Pentax

Name: Asahi Pentax KM

Type: Manual SLR

Type of Film: 35mm

CPB Body Code: JL41

Shutter: Mechanical horizontal-travel cloth shutter, 1 sec – 1/1000 sec + Bulb

Metering: TTL center-weighted - NOT WORKING

Lens Mount: Pentax K Mount

Condition: Good

The Asahi Pentax KM (JL41) has been inspected by CPB Darkroom and is mechanically functional. The shutter fires correctly across speeds, and film advance and control dials operate smoothly. The light meter is not working, so the camera will require an external light meter or manual exposure estimation for accurate shooting. As the shutter is fully mechanical, the camera remains reliable without battery dependency for operation. Cosmetically, the body is in excellent condition, with minimal signs of use — making it a well-preserved example of this classic SLR. The images shown depict the exact camera you will receive.

Introduced in the mid-1970s, the Pentax KM is a durable and straightforward manual SLR, often considered a more feature-rich alternative to the K1000. It offers solid build quality, reliable mechanics, and compatibility with a wide range of Pentax K-mount lenses. This camera uses standard 35mm (135) film, producing images in the 24 × 36 mm format.

SLR cameras sold by CPB Darkroom are inspected for shutter accuracy, film transport reliability, and mechanical integrity. Any cosmetic or functional notes are clearly described and reflected in the condition grade.

The sample images shown were made on film using this exact camera and lens, offering a true representation of its rendering, lens performance, and overall image quality.

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SKU: 8799918346

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4.2 ★★★★★
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Product Reviews
E
eyal Fishman
Massapequa, 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
Houston, 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
San Leandro, 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
New York, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
West Palm Beach, 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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