Showing 301-320 of 419 projects
A Python library for detecting and analyzing comparisons to ChatGPT in text, with a corpus of human-written comparisons.
An analysis tool for smart contracts on the Ethereum blockchain, focused on security and vulnerabilities.
A Python module for viewing and analyzing Portable Executable (PE) files in a tree-view, with integration for IDA Pro and Rekall.
ThePhish is an automated tool for analyzing and detecting phishing emails, providing cybersecurity professionals with a comprehensive solution.
cwe_checker finds vulnerable patterns in binary executables, helping developers identify and fix security issues.
A visualization tool for analyzing the module dependency tree of Browserify project bundles.
A fast and advanced log explorer for developers who need to efficiently analyze and navigate complex logs.
A Python project for analyzing and visualizing WeChat friends information and automatically replying to WeChat messages.
A Python library that uses LLMs, computer vision, and speech recognition to analyze video content.
A Python tool for monitoring and analyzing assets of subdomains in a GitHub repository.
This is a Python project that analyzes a backdoor vulnerability in the Linksys WAG200G router.
A very small, palmtop-sized vector network analyzer firmware for embedded systems.
A plugin for IDA that can help analyze binary files using AI models like OpenAI and DeepSeek.
A Java library for parsing and analyzing Java Virtual Machine (JVM) Garbage Collection (GC) logs.
A visual profiling tool for Go developers to analyze and optimize runtime performance.
SPIRV-Tools is a set of libraries and tools for processing and analyzing SPIR-V modules.
Archive, search, and analyze your entire email/chat history offline with DuckDB-powered analytics and AI queries.
Convolutional neural network for analyzing pentest screenshots, useful for security researchers and penetration testers.
A command-line tool for analyzing and tuning power consumption on Linux systems.
This is a developer tool focused on creating and analyzing 'malodorous' digital proofs and arguments.
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