Advanced framework for extracting digital artifacts from volatile memory (RAM) samples, enabling deep forensic analysis of system runtime state across Windows, Linux, and macOS.

著者：むちぽぽ(著)　出版：インプレス NextPublishing　2023/10/20(金)配信

はじめに 「AIエージェントにペネトレーションテスト（侵入テスト）やインシデント対応を任せたい」。 そう考える人は増えていますが、いざ任せてみると、エージェントが現場の細かい道具立てを知らないことに気づきます。 たとえば、Volatility3（メモリの中身を解析するツー...

Hello, today we analyze Black Energy malware. You can read here about Black Energy. You can download the lab file here. The file is a…

Volatility 3.0 development. Contribute to volatilityfoundation/volatility3 development by creating an account on GitHub.

Volatility 3.0 development. Contribute to volatilityfoundation/volatility3 development by creating an account on GitHub.

Introduction: While AI agents are rapidly evolving, they lack the nuanced, hands-on skills of a junior security analyst—knowing which Volatility3 plugin to run on a suspicious memory dump, which Sigma rules catch Kerberoasting, and how to scope a cloud breach across three providers. To truly augment or replace human decision-making, AI must be trained with these exact technical workflows. This article bridges that gap by extracting actionable techniques from the latest cybersecurity research (repo: and providing step‑by‑step guides, commands, and configurations for memory forensics, detection engineering, and multi‑cloud incident scoping.

In Linux memory forensics, especially with newer kernels, one major challenge is analyzing eBPF (extended Berkeley Packet Filter) modules in memory dumps. Traditional tools like Volatility3 struggle to extract `cmdline` and process information related to eBPF. Additionally, kernel-level access to eBPF is restricted in Auditd, similar to network-related auditing limitations. However, if you need to inspect eBPF modules in a memory dump, a GitHub project provides kernel symbols for Volatility3, facilitating memory analysis.

Memory forensics is a critical skill in cybersecurity, enabling investigators to analyze volatile memory (RAM) for malware, rootkits, and attacker activities. Volatility is a powerful open-source framework for memory forensics, supporting multiple operating systems. You Should Know: 1. Installing Volatility Volatility requires Python and can be installed via: git clone cd volatility3 python3 -m pip install -r requirements.txt 2. Basic Memory Analysis Commands…

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