A collection of visual posters and diagrams dissecting binary file formats, hardware architectures, and network protocols.
Corkami/pics is a collection of visual educational materials that dissect and explain binary file formats, hardware architectures, and network protocols through detailed posters and diagrams. It provides clear visual representations of complex technical structures, making them accessible for study and reference. The project serves as a visual reference library for understanding how various technical systems are organized internally.
Reverse engineers, security researchers, low-level developers, and technical educators who need to understand binary structures, hardware architectures, or network protocols. It's particularly valuable for those teaching or learning about file formats, embedded systems, or protocol analysis.
Developers choose this project because it provides professionally crafted visual references that are difficult to find elsewhere, saving hours of research and diagram creation. The unique selling point is the combination of technical accuracy with visual clarity across a wide range of binary formats and hardware systems.
File formats dissections and more...
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The repository aggregates detailed posters for binary formats like MP4 and JPG, hardware diagrams for STM32 and NeoGeo, and protocol tracings, offering a wide range of technical visuals in one place, as shown in the README's multiple sections.
Diagrams are based on actual specifications, such as the RFC791 tracing for IP protocols, providing precise and reliable references for reverse engineers and low-level developers.
Materials are designed to break down complex topics into digestible visuals, like the Atari controller outlines, making them accessible for teaching and self-study in technical courses.
Includes hard-to-find visual references for niche topics, such as historical computing systems, which are valuable for researchers and enthusiasts exploring legacy technologies.
The images are fixed posters and tracings; users cannot modify or interact with them dynamically, limiting real-time exploration or customization for specific analysis needs.
While visually detailed, the README and materials provide minimal textual explanation, requiring users to have prior knowledge to interpret the diagrams effectively, which can hinder beginners.
Some materials date back to 2016 or 2017, such as the outlines section, and may not reflect current technologies or standards, reducing relevance for modern applications.