# Analyzing Docker Container Forensics

> Use when investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence. Use when working with analyzing docker container forensics.

- Skill: `oyi77/analyzing-docker-container-forensics` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/analyzing-docker-container-forensics`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/analyzing-docker-container-forensics/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/analyzing-docker-container-forensics

---


# Analyzing Docker Container Forensics

## Overview

Cybersecurity skill for analyzing docker container forensics. Follows industry best practices and security standards.

## When to Use
**Trigger phrases:**
- "analyzing docker container forensics"
- "Investigate compromised Docker containers by analyzing images, layers, volumes, "

- When investigating a compromised Docker container or container host
- For analyzing malicious Docker images pulled from registries
- During incident response involving containerized application breaches
- When examining container escape attempts or privilege escalation
- For auditing container configurations and identifying misconfigurations


## When NOT to Use

- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope


## Prerequisites
- Docker CLI access on the forensic workstation
- Access to the Docker host file system (forensic image or live)
- Understanding of Docker layered file system (overlay2, aufs)
- dive, docker-explorer, or container-diff for image analysis
- Knowledge of Docker daemon configuration and socket security
- Trivy or Grype for vulnerability scanning of container images

## Workflow

```python
# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Scope the Analysis** — Define what docker container forensics artifacts or data sources to examine and the investigation timeline.
2. **Preserve Evidence** — Create forensic copies of relevant data. Maintain chain of custody documentation.
3. **Extract Key Indicators** — Parse and extract relevant docker container forensics data points from collected artifacts.
4. **Correlate Findings** — Cross-reference extracted data with other sources (threat intel, logs, timelines).
5. **Build Timeline** — Construct a chronological sequence of events related to docker container forensics.
6. **Document Analysis** — Write findings report with evidence, conclusions, and recommendations.

## Tools

- **Forensic Toolkit** — Evidence collection and analysis
- **Timeline Tools** — Chronological event reconstruction
- **Log Analysis Platform** — Centralized log parsing and search


## Process

1. **Reconnaissance** — Gather target information, identify attack surface, enumerate services
1. **Analysis/Exploitation** — Execute the technique, analyze results, document findings
1. **Reporting** — Document IOCs, write findings, provide remediation recommendations

## Verification

- [ ] All docker container forensics procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |