About

Imported from mukul975/anthropic-cybersecurity-skills (skills/extracting-memory-artifacts-with-rekall/SKILL.md). Install upstream with npx skills add mukul975/anthropic-cybersecurity-skills --skill extracting-memory-artifacts-with-rekall. Copyright stays with the author (Apache-2.0).

Extracting Memory Artifacts with Rekall

Name: extracting-memory-artifacts-with-rekall
Author: mukul975

When to Use

When performing authorized security testing that involves extracting memory artifacts with rekall
When analyzing malware samples or attack artifacts in a controlled environment
When conducting red team exercises or penetration testing engagements
When building detection capabilities based on offensive technique understanding

Prerequisites

Familiarity with security operations concepts and tools
Access to a test or lab environment for safe execution
Python 3.8+ with required dependencies installed
Appropriate authorization for any testing activities

Instructions

Use Rekall to analyze memory dumps for signs of compromise including process injection, hidden processes, and suspicious network connections.

from rekall import session
from rekall import plugins

# Create a Rekall session with a memory image
s = session.Session(
    filename="/path/to/memory.raw",
    autodetect=["rsds"],
    profile_path=["https://github.com/google/rekall-profiles/raw/master"]
)

# List processes
for proc in s.plugins.pslist():
    print(proc)

# Detect injected code
for result in s.plugins.malfind():
    print(result)

Key analysis steps:

Load memory image and auto-detect profile
Run pslist and psscan to find hidden processes
Use malfind to detect injected/hollowed code in process VADs
Examine network connections with netscan
Extract suspicious DLLs and drivers with dlllist/modules

Examples

from rekall import session
s = session.Session(filename="memory.raw")
# Compare pslist vs psscan for hidden processes
pslist_pids = set(p.pid for p in s.plugins.pslist())
psscan_pids = set(p.pid for p in s.plugins.psscan())
hidden = psscan_pids - pslist_pids
print(f"Hidden PIDs: {hidden}")

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/mukul975-anthropic-cybersecurity-skills-extracting-memor-bc543f/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

mukul975-anthropic-cybersecurity-skills-extracting-memor-bc543f.ocm.jsonjson

{
  "ocm": "1",
  "id": "mukul975-anthropic-cybersecurity-skills-extracting-memor-bc543f",
  "kind": "skill",
  "name": "extracting-memory-artifacts-with-rekall",
  "description": "Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis.",
  "publisher": "mukul975",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "memory-forensics",
      "rekall",
      "process-hollowing",
      "code-injection",
      "vad-analysis",
      "incident-response",
      "security-operations",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/mukul975/anthropic-cybersecurity-skills",
      "path": "skills/extracting-memory-artifacts-with-rekall/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/mukul975/anthropic-cybersecurity-skills/blob/HEAD/skills/extracting-memory-artifacts-with-rekall/SKILL.md",
      "key": "mukul975/anthropic-cybersecurity-skills/skills/extracting-memory-artifacts-with-rekall/SKILL.md"
    },
    "license": "Apache-2.0"
  },
  "instructions": "# Extracting Memory Artifacts with Rekall\n\n\n## When to Use\n\n- When performing authorized security testing that involves extracting memory artifacts with rekall\n- When analyzing malware samples or attack artifacts in a controlled environment\n- When conducting red team exercises or penetration testing engagements\n- When building detection capabilities based on offensive technique understanding\n\n## Prerequisites\n\n- Familiarity with security operations concepts and tools\n- Access to a test or lab environment for safe execution\n- Python 3.8+ with required dependencies installed\n- Appropriate author",
  "cost": {
    "context_tokens": 453
  }
}

Fetch it by URL: GET /api/v1/registry/mukul975-anthropic-cybersecurity-skills-extracting-memor-bc543f/manifest?version=1.0.0

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