Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
# 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/
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
日本語の概要は準備中です。原文の説明を表示しています。