abusing-dpapi-for-cred…
Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using…
Investigate compromised Docker containers by analyzing images, layers,
$ npx -y skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-docker-container-forensics --agent claude-codeHow it fires
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/analyzing-docker-container-forensicsContext preview
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Investigate compromised Docker containers by analyzing images, layers,
name: analyzing-docker-container-forensics description: Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence. domain: cybersecurity subdomain: digital-forensics tags: - forensics - docker - container-forensics - container-security - image-analysis - runtime-investigation version: '1.0' author: mahipal license: Apache-2.0 nist_csf: - RS.AN-03 - DE.AE-02 - RS.MA-01 mitre_attack: - T1610 - T1611 - T1613 - T1612
# 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:817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
Repo: mukul975/Anthropic-Cybersecurity-Skills
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