Linux Evidence Acquisition Framework
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Updated
Sep 30, 2024 - Python
Linux Evidence Acquisition Framework
A comprehensive repository for CyberOps documentation, Blue Team playbooks, and open-source forensic tools like Cerberus and Chimera.
A memory forensics automation tool that wraps Volatility 3, runs plugins, detects suspicious activity (malicious processes, code injection, network anomalies), and generates professional reports from a single command. Supports Windows, Linux, and macOS.
Evidence-preserving digital forensics primitives and composable workflows for analysts, automation systems, and autonomous agents.
AI-native MCP server for natural-language cyber incident investigation and triage across Windows, Linux, and macOS artifacts, plus Volatility3 memory forensics and Hashcat. Mount evidence, parse artifacts, trace lateral movement, correlate IOCs, and generate reports through conversation.
Digital forensics and incident response (DFIR) reference: evidence handling, memory/disk forensics workflows, and chain-of-custody procedures for enterprise investigations
Local, offline, LLM-assisted forensic triage for Linux server images: established DFIR tools do detection; Gumshoe adds provenance, chain of custody, a cited RAG layer, evidence archive/export and reports.
Parse syslog/auth.log for auth failures and sudo abuse — Linux log forensics and server intrusion investigation offline.
SSH Authentication Incident Investigation & Forensics Lab with Kali Linux attack replay, Linux auth.log triage, Wireshark PCAP packet extraction, and brute-force forensic report.
Forensic artifacts at a glance, built from ten years of collected notes: what they are, what they prove, where to find them, with references and free tools. Windows, macOS, iOS, Android, Linux and more.
Ongoing DFIR-focused Hack The Box write-ups highlighting my investigative methodology and forensic analysis.
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