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analyzing-memory-forensics-with-lime-and-volatility

Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.

internal/tools/skills/data/security-operations/analyzing-memory-forensics-with-lime-and-volatility/SKILL.md

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# Analyzing Memory Forensics with LiME and Volatility


## When to Use

- When investigating security incidents that require analyzing memory forensics with lime and volatility
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques

## Detection Gaps & Validation

- **Acquisition smear is the #1 false negative:** LiME captures memory live, so page tables and process lists shift mid-dump on a busy host. A torn capture makes `linux.pslist` walk a broken `task_struct` list and silently drop processes. Prefer `format=lime` (timestamped, structured) over `format=raw`, capture with the box as quiet as possible, and hash the image immediately.
- **Profile/symbol mismatch yields empty output:** Volatility 3 needs an ISF symbol table matching the exact kernel (`uname -r` + build). A wrong banner makes every Linux plugin return nothing — that is a tooling failure, not a clean host. Verify with `vol3 -f mem.lime banners.Banners` before concluding negative.