skills/analyzing-docker-container-forensics/SKILL.md
Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.
npx skillsauth add mukul975/anthropic-cybersecurity-skills analyzing-docker-container-forensicsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
# List all containers (including stopped)
docker ps -a --no-trunc > /cases/case-2024-001/docker/container_list.txt
# Inspect the compromised container
CONTAINER_ID="abc123def456"
docker inspect $CONTAINER_ID > /cases/case-2024-001/docker/container_inspect.json
# Export container filesystem as tarball (preserves current state)
docker export $CONTAINER_ID > /cases/case-2024-001/docker/container_export.tar
# Create an image from the container's current state
docker commit $CONTAINER_ID forensic-evidence:case-2024-001
docker save forensic-evidence:case-2024-001 > /cases/case-2024-001/docker/container_image.tar
# Capture container logs
docker logs $CONTAINER_ID --timestamps > /cases/case-2024-001/docker/container_logs.txt 2>&1
# Capture running processes (if container is still running)
docker top $CONTAINER_ID > /cases/case-2024-001/docker/container_processes.txt
# Capture network connections
docker exec $CONTAINER_ID netstat -tlnp 2>/dev/null > /cases/case-2024-001/docker/container_network.txt
# Copy specific files from the container
docker cp $CONTAINER_ID:/var/log/ /cases/case-2024-001/docker/container_var_log/
docker cp $CONTAINER_ID:/tmp/ /cases/case-2024-001/docker/container_tmp/
docker cp $CONTAINER_ID:/etc/passwd /cases/case-2024-001/docker/container_passwd
# Hash all exported evidence
sha256sum /cases/case-2024-001/docker/*.tar > /cases/case-2024-001/docker/evidence_hashes.txt
# Install dive for image layer analysis
wget https://github.com/wagoodman/dive/releases/latest/download/dive_linux_amd64.deb
sudo dpkg -i dive_linux_amd64.deb
# Analyze image layers interactively
dive forensic-evidence:case-2024-001
# Non-interactive layer analysis
dive forensic-evidence:case-2024-001 --ci --json /cases/case-2024-001/docker/dive_analysis.json
# Extract and examine individual layers
mkdir -p /cases/case-2024-001/docker/layers/
tar -xf /cases/case-2024-001/docker/container_image.tar -C /cases/case-2024-001/docker/layers/
# List the image manifest and layer order
cat /cases/case-2024-001/docker/layers/manifest.json | python3 -m json.tool
# Examine each layer for changes
for layer in /cases/case-2024-001/docker/layers/*/layer.tar; do
echo "=== Layer: $(dirname $layer | xargs basename) ==="
tar -tf "$layer" | head -20
echo "..."
done
# Use container-diff to compare with original base image
# Install container-diff
curl -LO https://storage.googleapis.com/container-diff/latest/container-diff-linux-amd64
chmod +x container-diff-linux-amd64
# Compare committed image with original
./container-diff-linux-amd64 diff daemon://nginx:latest daemon://forensic-evidence:case-2024-001 \
--type=file --type=apt --type=history --json \
> /cases/case-2024-001/docker/container_diff.json
# Docker data directory (default: /var/lib/docker/)
DOCKER_ROOT="/mnt/evidence/var/lib/docker"
# Examine overlay2 filesystem layers
ls -la $DOCKER_ROOT/overlay2/
# Find the container's merged filesystem
CONTAINER_HASH=$(docker inspect $CONTAINER_ID --format '{{.GraphDriver.Data.MergedDir}}' 2>/dev/null)
# Or manually from forensic image:
# Look in /var/lib/docker/containers/<container_id>/config.v2.json
# Analyze container configuration files
cat $DOCKER_ROOT/containers/$CONTAINER_ID/config.v2.json | python3 -m json.tool \
> /cases/case-2024-001/docker/container_config.json
# Check Docker daemon configuration
cat /mnt/evidence/etc/docker/daemon.json 2>/dev/null > /cases/case-2024-001/docker/daemon_config.json
# Examine Docker events log
cat $DOCKER_ROOT/containers/$CONTAINER_ID/*.log > /cases/case-2024-001/docker/container_json_logs.txt
# Check for volume mounts (potential host filesystem access)
python3 << 'PYEOF'
import json
with open('/cases/case-2024-001/docker/container_inspect.json') as f:
data = json.load(f)
inspect = data[0] if isinstance(data, list) else data
print("=== CONTAINER SECURITY ANALYSIS ===\n")
# Check mounts
print("Volume Mounts:")
for mount in inspect.get('Mounts', []):
rw = "READ-WRITE" if mount.get('RW') else "READ-ONLY"
print(f" {mount.get('Source', 'N/A')} -> {mount.get('Destination', 'N/A')} ({rw})")
if mount.get('Source') in ('/', '/etc', '/var', '/root') and mount.get('RW'):
print(f" WARNING: Sensitive host path mounted read-write!")
# Check privileged mode
host_config = inspect.get('HostConfig', {})
if host_config.get('Privileged'):
print("\nWARNING: Container was running in PRIVILEGED mode!")
# Check capabilities
cap_add = host_config.get('CapAdd', [])
if cap_add:
print(f"\nAdded Capabilities: {cap_add}")
dangerous_caps = ['SYS_ADMIN', 'SYS_PTRACE', 'NET_ADMIN', 'SYS_MODULE']
for cap in cap_add:
if cap in dangerous_caps:
print(f" WARNING: Dangerous capability: {cap}")
# Check PID namespace
if host_config.get('PidMode') == 'host':
print("\nWARNING: Container shares host PID namespace!")
# Check network mode
if host_config.get('NetworkMode') == 'host':
print("\nWARNING: Container shares host network namespace!")
# Check user
user = inspect.get('Config', {}).get('User', 'root (default)')
print(f"\nRunning as user: {user}")
# Check environment variables for secrets
env_vars = inspect.get('Config', {}).get('Env', [])
print(f"\nEnvironment Variables: {len(env_vars)}")
for env in env_vars:
key = env.split('=')[0]
if any(s in key.upper() for s in ['PASSWORD', 'SECRET', 'KEY', 'TOKEN', 'CREDENTIAL']):
print(f" SENSITIVE: {key}=***REDACTED***")
PYEOF
# Compare container filesystem to original image
docker diff $CONTAINER_ID > /cases/case-2024-001/docker/filesystem_changes.txt
# A = Added, C = Changed, D = Deleted
# Analyze changes
python3 << 'PYEOF'
added = []
changed = []
deleted = []
with open('/cases/case-2024-001/docker/filesystem_changes.txt') as f:
for line in f:
line = line.strip()
if line.startswith('A '):
added.append(line[2:])
elif line.startswith('C '):
changed.append(line[2:])
elif line.startswith('D '):
deleted.append(line[2:])
print(f"Files Added: {len(added)}")
print(f"Files Changed: {len(changed)}")
print(f"Files Deleted: {len(deleted)}")
# Flag suspicious additions
suspicious = [f for f in added if any(s in f for s in
['/tmp/', '/dev/shm/', '/root/', '.sh', '.py', '.elf', 'reverse', 'shell', 'backdoor'])]
if suspicious:
print(f"\nSuspicious Added Files:")
for f in suspicious:
print(f" {f}")
# Flag suspicious changes
sus_changed = [f for f in changed if any(s in f for s in
['/etc/passwd', '/etc/shadow', '/etc/crontab', '/etc/ssh', '.bashrc'])]
if sus_changed:
print(f"\nSuspicious Changed Files:")
for f in sus_changed:
print(f" {f}")
PYEOF
# Extract and examine the container export
mkdir -p /cases/case-2024-001/docker/container_fs/
tar -xf /cases/case-2024-001/docker/container_export.tar -C /cases/case-2024-001/docker/container_fs/
# Scan for webshells and malicious files
find /cases/case-2024-001/docker/container_fs/tmp/ -type f -exec file {} \;
find /cases/case-2024-001/docker/container_fs/ -name "*.php" -newer /cases/case-2024-001/docker/container_fs/etc/hostname
# Scan the image for known vulnerabilities
trivy image forensic-evidence:case-2024-001 \
--format json \
--output /cases/case-2024-001/docker/vulnerability_scan.json
# Scan the exported filesystem
trivy fs /cases/case-2024-001/docker/container_fs/ \
--format table \
--output /cases/case-2024-001/docker/fs_vulnerabilities.txt
# Check for secrets in the image
trivy image forensic-evidence:case-2024-001 \
--scanners secret \
--format json \
--output /cases/case-2024-001/docker/secrets_scan.json
| Concept | Description | |---------|-------------| | Image layers | Read-only filesystem layers stacked to form the container image | | overlay2 | Default Docker storage driver using union filesystem for layers | | Container diff | Comparison of runtime filesystem changes against the original image | | Privileged mode | Container with full host capabilities (bypasses most isolation) | | Docker socket | Unix socket (/var/run/docker.sock) controlling the Docker daemon | | Container escape | Technique for breaking out of container isolation to the host | | Volume mounts | Host filesystem paths made accessible inside the container | | Image history | Record of Dockerfile instructions used to build each layer |
| Tool | Purpose | |------|---------| | docker inspect | Detailed container configuration and state information | | docker diff | Show filesystem changes made in a running/stopped container | | dive | Interactive Docker image layer analysis tool | | container-diff | Google tool for comparing container image contents | | Trivy | Vulnerability scanner for container images and filesystems | | docker-explorer | Forensic tool for offline Docker artifact analysis | | Sysdig | Container runtime security monitoring and forensics | | Falco | Runtime threat detection for containers and Kubernetes |
Scenario 1: Web Application Container Compromise Export the container filesystem, identify webshells in web root, analyze access logs for exploitation attempts, check for added files and modified configurations, examine network connections for C2 communication, review container capabilities for escalation paths.
Scenario 2: Supply Chain Attack via Malicious Image Analyze image layers with dive to identify which layer added malicious content, compare with the official base image using container-diff, check image history for suspicious RUN commands, scan for embedded backdoors and cryptocurrency miners, trace the image pull from registry logs.
Scenario 3: Container Escape Investigation Check if container ran privileged or with dangerous capabilities, examine host filesystem mount points for unauthorized access, review Docker socket mount enabling Docker-in-Docker abuse, analyze host system logs for container escape indicators, check for kernel exploit artifacts.
Scenario 4: Cryptojacking in Container Environment Identify high-CPU containers, export and analyze the container image for mining binaries, check for unauthorized images in the registry, review container creation events for rogue deployments, examine network connections for mining pool communications.
Docker Container Forensics Summary:
Container: abc123def456 (nginx-app)
Image: company/web-app:v2.1
Status: Running (started 2024-01-10 09:00 UTC)
Host: docker-host-01.corp.local
Security Configuration:
Privileged: No
Capabilities Added: NET_ADMIN (WARNING)
Volume Mounts: /var/log -> /host-logs (RW)
Network Mode: bridge
User: root (WARNING)
Filesystem Changes:
Added: 23 files (5 suspicious)
Changed: 12 files (2 suspicious)
Deleted: 0 files
Suspicious Findings:
/tmp/reverse.sh - Reverse shell script (Added)
/var/www/html/.hidden/shell.php - PHP webshell (Added)
/etc/crontab - Modified (persistence cron entry added)
/root/.ssh/authorized_keys - Modified (unauthorized key added)
Vulnerability Scan:
Critical: 3 (CVE-2024-xxxx in base image)
High: 12
Medium: 34
Evidence: /cases/case-2024-001/docker/
tools
Executes authorized phishing simulation campaigns to assess an organization's susceptibility to email-based social engineering attacks. The tester designs realistic phishing scenarios, builds credential harvesting infrastructure, sends targeted phishing emails, and tracks open rates, click-through rates, and credential submission rates to measure human security awareness. Activates for requests involving phishing simulation, social engineering assessment, email security testing, or security awareness measurement.
development
Drive a federal system through the NIST Risk Management Framework (SP 800-37 Rev 2) to an Authorization to Operate (ATO): Prepare, Categorize (FIPS 199), Select a control baseline (FIPS 200 / SP 800-53 Rev 5), Implement, Assess (SP 800-53A), Authorize, and Monitor continuously. Use when a system needs an ATO or a renewal, when working a FISMA/FedRAMP authorization package, when building or reviewing an SSP, SAR, or POA&M, when categorizing a system as Low/Moderate/High impact, when selecting or tailoring a control baseline, or when standing up continuous monitoring (ConMon) after authorization. Covers ATO, conditional ATO (cATO), and the artifacts assessors expect. Keywords: NIST RMF, 800-37, ATO, authorization to operate, FISMA, FedRAMP, SSP, SAR, POA&M, FIPS 199, FIPS 200, 800-53, 800-53A, control baseline, security categorization, continuous monitoring, authorizing official, system boundary, ongoing authorization.
development
Executes authorized attack simulations against Active Directory environments to identify misconfigurations, weak credentials, dangerous privilege paths, and exploitable trust relationships that could lead to domain compromise. The tester uses BloodHound for attack path analysis, Mimikatz for credential extraction, and Impacket for protocol-level attacks including Kerberoasting, AS-REP Roasting, and delegation abuse. Activates for requests involving Active Directory pentest, AD attack simulation, domain compromise testing, or Kerberos attack assessment.
tools
Evaluates and selects Threat Intelligence Platform (TIP) products based on organizational requirements including feed integration capability, STIX/TAXII support, workflow automation, analyst interface, and total cost of ownership. Use when conducting a TIP procurement, migrating between TIP solutions, or assessing whether the current TIP meets program maturity requirements. Activates for requests involving ThreatConnect, MISP, OpenCTI, Anomali, EclecticIQ, or TIP procurement decisions.