{"categories":[{"label":"Security","url":"https://skillfed.io/packages/category/security/3"}],"enrichment":{"capability":"Volatility 3 is a memory forensics framework that extracts and analyzes digital artifacts from volatile RAM samples across Windows, Linux, and macOS systems.","skillfed_tags":["forensics","memory-analysis","incident-response"],"use_cases":["Analyze Windows memory dumps to identify running processes, network connections, and malware artifacts in incident response.","Extract kernel data structures and runtime state from Linux memory samples for post-mortem system analysis.","Investigate macOS memory dumps to recover deleted files, encryption keys, and user activity traces.","Develop custom plugins to extract domain-specific artifacts from memory for specialized forensic workflows.","Research memory forensics techniques and validate new artifact extraction methods against real memory samples."],"what_it_does":"Volatility 3 is a complete rewrite of the original Volatility framework, designed to extract and analyze digital artifacts directly from volatile memory (RAM) samples. It operates independently of the target system's operating system, providing visibility into the runtime state without requiring the system to be running. The framework supports Windows, Linux, and macOS memory analysis through a plugin architecture accessible via the command-line `vol` tool.\n\nThe package requires Python 3.8.0 or later and depends only on pefile for its core functionality. Symbol tables\u2014which map memory addresses to kernel symbols\u2014must be obtained separately for each supported OS and placed in the symbols directory. Windows symbols can be automatically queried and cached, but macOS and Linux symbols require manual generation using tools like dwarf2json. The framework is intended both for forensic investigation and as a platform for research into memory artifact extraction techniques.","worth_installing":"Yes, if you work in digital forensics or incident response. Volatility 3 is the industry-standard memory analysis framework with active maintenance, low install friction, and no known vulnerabilities. The custom VSL license requires review for your use case, but the framework itself is stable and widely adopted. Install it if you need to analyze memory dumps; skip it if you have no forensic analysis requirements."},"id":"volatility3","links":{"html":"https://skillfed.io/packages/volatility3","md":"https://skillfed.io/packages/volatility3.md","pypi":"https://pypi.org/project/volatility3/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-04-30","license_spdx":null,"license_treatment":"unclear","name":"volatility3","python_support":"supports_current","summary":"Memory forensics framework"},"popularity":{"monthly_downloads":74631,"position":14809,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.28.0"}