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---
name: recon-nmap
description: >
Network reconnaissance and security auditing using Nmap for port scanning, service enumeration,
and vulnerability detection. Use when: (1) Conducting authorized network reconnaissance and asset
discovery, (2) Enumerating network services and identifying running versions, (3) Detecting
security vulnerabilities through NSE scripts, (4) Mapping network topology and firewall rules,
(5) Performing compliance scanning for security assessments, (6) Validating network segmentation
and access controls.
version: 0.1.0
maintainer: sirappsec@gmail.com
category: offsec
tags: [reconnaissance, nmap, port-scanning, service-enumeration, network-security, osint]
frameworks: [MITRE-ATT&CK, OWASP, PTES]
dependencies:
packages: [nmap]
tools: [python3, masscan]
references:
- https://nmap.org/book/
- https://nmap.org/nsedoc/
- https://attack.mitre.org/techniques/T1046/
---
# Nmap Network Reconnaissance
## Overview
Nmap (Network Mapper) is the industry-standard tool for network discovery, security auditing, and vulnerability assessment. This skill provides structured workflows for authorized reconnaissance operations including port scanning, service enumeration, OS fingerprinting, and vulnerability detection using Nmap Scripting Engine (NSE).
**IMPORTANT**: Network scanning may be disruptive and must only be conducted with proper authorization. Always ensure written permission before scanning networks or systems you do not own.
## Quick Start
Basic host discovery and port scanning:
```bash
# Quick scan of common ports
nmap -F <target-ip>
# Scan top 1000 ports with service detection
nmap -sV <target-ip>
# Comprehensive scan with OS detection and default scripts
nmap -A <target-ip>
```
## Core Workflow
### Network Reconnaissance Workflow
Progress:
[ ] 1. Verify authorization and scope
[ ] 2. Perform host discovery and asset enumeration
[ ] 3. Conduct port scanning on live hosts
[ ] 4. Enumerate services and versions
[ ] 5. Perform OS fingerprinting and detection
[ ] 6. Run NSE scripts for vulnerability detection
[ ] 7. Document findings and generate reports
[ ] 8. Validate results and identify false positives
Work through each step systematically. Check off completed items.
### 1. Authorization Verification
**CRITICAL**: Before any scanning activities:
- Confirm written authorization from network owner
- Review scope document for in-scope IP ranges and domains
- Verify scanning windows and rate-limiting requirements
- Document emergency contact for accidental disruption
- Confirm blacklisted hosts (production databases, critical infrastructure)
### 2. Host Discovery
Identify live hosts in target network:
```bash
# Ping sweep (ICMP echo)
nmap -sn <target-network>/24
# ARP scan (local network only, faster and more reliable)
nmap -sn -PR <target-network>/24
# TCP SYN ping (when ICMP blocked)
nmap -sn -PS22,80,443 <target-network>/24
# UDP ping (for hosts blocking TCP)
nmap -sn -PU53,161 <target-network>/24
# Disable ping, assume all hosts alive
nmap -Pn <target-network>/24
```
**Host discovery techniques**:
- **ICMP Echo (-PE)**: Standard ping, often blocked
- **TCP SYN (-PS)**: Half-open connection to specified ports
- **TCP ACK (-PA)**: Sends ACK packets, useful for stateful firewalls
- **UDP (-PU)**: Sends UDP packets to specified ports
- **ARP (-PR)**: Layer 2 discovery, only works on local network
Output live hosts to file for subsequent scanning:
```bash
nmap -sn <target-network>/24 -oG - | awk '/Up$/{print $2}' > live_hosts.txt
```
### 3. Port Scanning
Scan discovered hosts for open ports:
```bash
# Fast scan (top 100 ports)
nmap -F -iL live_hosts.txt
# Top 1000 ports (default)
nmap -iL live_hosts.txt
# Scan all 65535 ports
nmap -p- -iL live_hosts.txt
# Scan specific ports
nmap -p 22,80,443,3389,8080 -iL live_hosts.txt
# Scan port ranges
nmap -p 1-1024,3000-9000 -iL live_hosts.txt
```
**Scan techniques**:
- **TCP SYN Scan (-sS)**: Default, stealthy half-open scan (requires root)
```bash
sudo nmap -sS <target-ip>
```
- **TCP Connect Scan (-sT)**: Full TCP connection (no root required)
```bash
nmap -sT <target-ip>
```
- **UDP Scan (-sU)**: Scan UDP ports (slow but critical)
```bash
sudo nmap -sU -p 53,161,500 <target-ip>
```
- **Version Detection (-sV)**: Probe services for version information
```bash
nmap -sV <target-ip>
```
- **Aggressive Scan (-A)**: Enable OS detection, version detection, script scanning, traceroute
```bash
sudo nmap -A <target-ip>
```
**Timing and performance**:
```bash
# Paranoid (0) - Extremely slow, IDS evasion
nmap -T0 <target-ip>
# Sneaky (1) - Very slow, IDS evasion
nmap -T1 <target-ip>
# Polite (2) - Slows down to use less bandwidth
nmap -T2 <target-ip>
# Normal (3) - Default timing
nmap -T3 <target-ip>
# Aggressive (4) - Faster, assumes reliable network
nmap -T4 <target-ip>
# Insane (5) - Very fast, may miss results
nmap -T5 <target-ip>
```
**Rate limiting for safety**:
```bash
# Limit to 100 packets/second
nmap --max-rate 100 <target-ip>
# Minimum 10 packets/second
nmap --min-rate 10 <target-ip>
# Scan with delays to avoid detection
nmap --scan-delay 1s <target-ip>
```
### 4. Service Enumeration
Identify services and extract version information:
```bash
# Service version detection
nmap -sV <target-ip>
# Aggressive version detection (more probes)
nmap -sV --version-intensity 5 <target-ip>
# Light version detection (fewer probes, faster)
nmap -sV --version-intensity 0 <target-ip>
# Specific service enumeration
nmap -sV -p 80,443 --script=http-headers,http-title <target-ip>
```
**Service-specific enumeration**:
```bash
# SMB enumeration
nmap -p 445 --script=smb-os-discovery,smb-security-mode <target-ip>
# SSH enumeration
nmap -p 22 --script=ssh-hostkey,ssh-auth-methods <target-ip>
# DNS enumeration
nmap -p 53 --script=dns-nsid,dns-recursion <target-ip>
# HTTP/HTTPS enumeration
nmap -p 80,443 --script=http-methods,http-robots.txt,http-title <target-ip>
# Database enumeration
nmap -p 3306 --script=mysql-info <target-ip>
nmap -p 5432 --script=pgsql-brute <target-ip>
nmap -p 1433 --script=ms-sql-info <target-ip>
```
### 5. Operating System Detection
Identify target operating systems:
```bash
# OS detection
sudo nmap -O <target-ip>
# Aggressive OS detection with version scanning
sudo nmap -A <target-ip>
# Limit OS detection to promising targets
sudo nmap -O --osscan-limit <target-ip>
# Guess OS aggressively
sudo nmap -O --osscan-guess <target-ip>
```
**OS fingerprinting indicators**:
- TCP/IP stack characteristics
- Open port patterns
- Service banners and versions
- TTL values and TCP window sizes
### 6. NSE Script Scanning
Nmap Scripting Engine for advanced reconnaissance and vulnerability detection:
```bash
# Run default NSE scripts
nmap -sC <target-ip>
# Run all scripts in category
nmap --script=vuln <target-ip>
nmap --script=exploit <target-ip>
nmap --script=discovery <target-ip>
# Run specific script
nmap --script=http-sql-injection <target-ip>
# Multiple scripts
nmap --script=smb-vuln-ms17-010,smb-vuln-cve-2017-7494 <target-ip>
# Script with arguments
nmap --script=http-brute --script-args http-brute.path=/admin <target-ip>
```
**NSE script categories**:
- **auth**: Authentication testing
- **broadcast**: Network broadcast/multicast discovery
- **brute**: Brute-force password auditing
- **default**: Default safe scripts (-sC)
- **discovery**: Network and service discovery
- **dos**: Denial of service testing (use with caution)
- **exploit**: Exploitation attempts (authorized only)
- **external**: External resource queries (WHOIS, etc.)
- **fuzzer**: Fuzzing attacks
- **intrusive**: Intrusive scanning (may crash services)
- **malware**: Malware detection
- **safe**: Safe scripts unlikely to crash services
- **version**: Version detection enhancement
- **vuln**: Vulnerability detection
**Common vulnerability detection scripts**:
```bash
# Check for EternalBlue (MS17-010)
nmap -p 445 --script=smb-vuln-ms17-010 <target-ip>
# Heartbleed detection
nmap -p 443 --script=ssl-heartbleed <target-ip>
# Shellshock detection
nmap --script=http-shellshock --script-args uri=/cgi-bin/test.sh <target-ip>
# Check for weak SSL/TLS
nmap -p 443 --script=ssl-enum-ciphers <target-ip>
# SQL injection testing
nmap -p 80 --script=http-sql-injection <target-ip>
# Check for anonymous FTP
nmap -p 21 --script=ftp-anon <target-ip>
```
### 7. Output and Reporting
Generate reports in multiple formats:
```bash
# Normal output to screen and file
nmap <target-ip> -oN scan_results.txt
# XML output (for parsing/import)
nmap <target-ip> -oX scan_results.xml
# Grepable output (for easy parsing)
nmap <target-ip> -oG scan_results.gnmap
# All formats
nmap <target-ip> -oA scan_results
# Script kiddie output (for fun)
nmap <target-ip> -oS scan_results.skid
```
Convert and process results:
```bash
# Convert XML to HTML report
xsltproc /usr/share/nmap/nmap.xsl scan_results.xml -o report.html
# Parse XML with Python
python3 -c "import xml.etree.ElementTree as ET; tree = ET.parse('scan_results.xml'); root = tree.getroot(); [print(host.find('address').get('addr')) for host in root.findall('host')]"
# Extract open ports from grepable output
grep 'Ports:' scan_results.gnmap | awk '{print $2, $5}'
```
### 8. Firewall and IDS Evasion
Techniques to evade detection (authorized testing only):
```bash
# Fragment packets
sudo nmap -f <target-ip>
# Use decoys
sudo nmap -D RND:10 <target-ip>
sudo nmap -D decoy1,decoy2,ME,decoy3 <target-ip>
# Spoof source IP (requires raw packet privileges)
sudo nmap -S <spoofed-ip> -e <interface> <target-ip>
# Randomize target order
nmap --randomize-hosts -iL targets.txt
# Use proxy
nmap --proxies http://proxy:8080 <target-ip>
# Idle scan (zombie host required)
sudo nmap -sI <zombie-host> <target-ip>
```
## Security Considerations
### Authorization & Legal Compliance
- **Written Permission**: Obtain explicit authorization before scanning any network
- **Scope Definition**: Only scan explicitly authorized IP ranges and ports
- **Disruption Risk**: Some scans (DOS, exploit scripts) can crash services
- **Privacy**: Service enumeration may expose sensitive information
- **Log Traces**: Scanning activities are typically logged by firewalls and IDS
### Operational Security
- **Rate Limiting**: Use `--max-rate` to avoid overwhelming targets
- **Timing**: Schedule scans during approved maintenance windows
- **Bandwidth**: Consider network impact, especially for large scans
- **Noise**: Aggressive scans are easily detected by security monitoring
- **False Positives**: Validate findings before reporting vulnerabilities
### Audit Logging
Document all reconnaissance activities:
- Scan start and end timestamps
- Source IP address and scanner hostname
- Target IP ranges and ports scanned
- Nmap command-line arguments used
- Number of hosts discovered and ports found
- Vulnerabilities identified via NSE scripts
- Any service disruptions or anomalies
### Compliance
- **PTES**: Reconnaissance phase of Penetration Testing Execution Standard
- **OWASP**: ASVS verification requirements for network security
- **MITRE ATT&CK**: T1046 (Network Service Scanning)
- **PCI-DSS 11.2**: External and internal vulnerability scanning
- **ISO 27001**: A.12.6 Technical vulnerability management
## Common Patterns
### Pattern 1: External Perimeter Assessment
```bash
# Phase 1: Identify live hosts
nmap -sn -PE -PS80,443 -PA3389 <external-network>/24 -oG - | awk '/Up$/{print $2}' > external_hosts.txt
# Phase 2: Scan common external services
nmap -Pn -sV -p 21,22,25,53,80,110,143,443,587,993,995,3389,8080,8443 -iL external_hosts.txt -oA external_scan
# Phase 3: Vulnerability detection
nmap -Pn -sV --script=vuln -p 21,22,25,80,443,3389,8080,8443 -iL external_hosts.txt -oA external_vulns
# Phase 4: SSL/TLS security audit
nmap -Pn -p 443,8443 --script=ssl-enum-ciphers,ssl-cert -iL external_hosts.txt -oA ssl_audit
```
### Pattern 2: Internal Network Mapping
```bash
# Phase 1: Fast host discovery
nmap -sn -PR <internal-network>/24 -oG - | awk '/Up$/{print $2}' > internal_hosts.txt
# Phase 2: Comprehensive port scan
nmap -sV -p- -T4 -iL internal_hosts.txt -oA internal_full_scan
# Phase 3: OS fingerprinting
sudo nmap -O -iL internal_hosts.txt -oA internal_os_detection
# Phase 4: Service enumeration
nmap -sV --script=default,discovery -iL internal_hosts.txt -oA internal_services
```
### Pattern 3: Web Application Discovery
```bash
# Identify web servers
nmap -p 80,443,8000,8080,8443 --open -oG - <target-network>/24 | grep 'open' | awk '{print $2}' > web_servers.txt
# Enumerate web technologies
nmap -sV -p 80,443,8080,8443 --script=http-enum,http-headers,http-methods,http-title,http-server-header -iL web_servers.txt -oA web_enum
# Check for common web vulnerabilities
nmap -p 80,443 --script=http-sql-injection,http-csrf,http-vuln-cve2017-5638 -iL web_servers.txt -oA web_vulns
```
### Pattern 4: SMB/CIFS Security Audit
```bash
# Enumerate SMB hosts
nmap -p 445 --open <target-network>/24 -oG - | grep 'open' | awk '{print $2}' > smb_hosts.txt
# SMB version and configuration
nmap -p 445 --script=smb-protocols,smb-security-mode,smb-os-discovery -iL smb_hosts.txt -oA smb_enum
# Check for SMB vulnerabilities
nmap -p 445 --script=smb-vuln* -iL smb_hosts.txt -oA smb_vulns
# Enumerate shares (authentication may be required)
nmap -p 445 --script=smb-enum-shares,smb-enum-users -iL smb_hosts.txt -oA smb_shares
```
### Pattern 5: Database Server Discovery
```bash
# Scan for common database ports
nmap -sV -p 1433,1521,3306,5432,5984,6379,9200,27017 <target-network>/24 -oA database_scan
# MySQL enumeration
nmap -p 3306 --script=mysql-info,mysql-databases,mysql-variables <target-ip>
# PostgreSQL enumeration
nmap -p 5432 --script=pgsql-brute <target-ip>
# MongoDB enumeration
nmap -p 27017 --script=mongodb-info,mongodb-databases <target-ip>
# Redis enumeration
nmap -p 6379 --script=redis-info <target-ip>
```
## Integration Points
### CI/CD Integration
Automated security scanning in pipelines:
```bash
#!/bin/bash
# ci_network_scan.sh - Continuous network security validation
TARGET_NETWORK="$1"
OUTPUT_DIR="scan_results/$(date +%Y%m%d_%H%M%S)"
mkdir -p "$OUTPUT_DIR"
# Quick security scan
nmap -Pn -sV --script=vuln -p 21,22,25,80,443,3389,8080 \
"$TARGET_NETWORK" -oA "$OUTPUT_DIR/security_scan"
# Parse results for critical findings
if grep -i "VULNERABLE" "$OUTPUT_DIR/security_scan.nmap"; then
echo "CRITICAL: Vulnerabilities detected!"
exit 1
fi
echo "Security scan completed successfully"
exit 0
```
### Security Tools Integration
- **Metasploit Integration**: Import Nmap XML with `db_import`
- **Vulnerability Scanners**: Feed Nmap results to Nessus, OpenVAS, Qualys
- **SIEM Integration**: Parse Nmap output for security monitoring
- **Asset Management**: Update CMDB with discovered hosts and services
- **Shodan/Censys**: Validate external exposure findings
### MITRE ATT&CK Mapping
Map Nmap reconnaissance to ATT&CK framework:
- **Reconnaissance**: T1595 (Active Scanning)
- T1595.001 (Scanning IP Blocks)
- T1595.002 (Vulnerability Scanning)
- **Discovery**: T1046 (Network Service Scanning)
- **Discovery**: T1040 (Network Sniffing)
- **Credential Access**: T1110 (Brute Force) - when using NSE brute scripts
## Troubleshooting
### Issue: No Results Despite Hosts Being Online
**Causes**:
- ICMP blocked by firewall
- Host-based firewall dropping probes
- Network ACLs filtering traffic
**Solutions**:
```bash
# Skip ping, assume all hosts up
nmap -Pn <target-ip>
# Try TCP ping instead of ICMP
nmap -PS80,443 -PA3389 <target-ip>
# Try multiple discovery techniques
nmap -PE -PS22,80,443 -PA3389 -PU53,161 <target-ip>
```
### Issue: Scan Too Slow
**Solutions**:
```bash
# Increase timing template
nmap -T4 <target-ip>
# Scan fewer ports
nmap -F <target-ip> # Top 100 ports
nmap --top-ports 1000 <target-ip>
# Parallelize by splitting targets
nmap -T4 192.168.1.1-50 &
nmap -T4 192.168.1.51-100 &
nmap -T4 192.168.1.101-150 &
wait
# Use masscan for very fast port scanning
masscan -p 1-65535 --rate 10000 <target-network>/24
```
### Issue: False Positives in Vulnerability Scripts
**Solutions**:
- Manually verify findings with specific exploit tools
- Check service version against CVE databases
- Use `--version-intensity 9` for more accurate version detection
- Run vulnerability-specific NSE scripts instead of broad categories
- Cross-reference with authenticated vulnerability scanners
### Issue: Getting Blocked by Firewall/IDS
**Solutions**:
```bash
# Slow down scan
nmap -T1 --scan-delay 1s <target-ip>
# Fragment packets
sudo nmap -f <target-ip>
# Randomize scan order
nmap --randomize-hosts -iL targets.txt
# Use source port 53 (often allowed)
nmap -g 53 <target-ip>
# Split into smaller scans over time
nmap -p 1-1000 <target-ip>
# Wait several hours
nmap -p 1001-2000 <target-ip>
```
## Defensive Considerations
Organizations can detect Nmap scanning by:
- **Network IDS**: Signature detection of scan patterns (vertical/horizontal sweeps)
- **Firewall Logs**: Multiple connection attempts from single source
- **Port Scan Detection**: Monitoring for SYN packets without completion
- **Honeypots**: Triggering alerts when accessing decoy services
- **Traffic Analysis**: Unusual packet patterns (fragmentation, timing anomalies)
Enhance defensive posture:
- Deploy network intrusion detection systems (Snort, Suricata)
- Enable firewall logging and monitor for scan patterns
- Use port knocking or service hiding for sensitive services
- Implement rate limiting on border firewalls
- Deploy honeypots to detect and track reconnaissance
## References
- [Nmap Network Scanning Official Guide](https://nmap.org/book/)
- [NSE Script Documentation](https://nmap.org/nsedoc/)
- [MITRE ATT&CK: Network Service Scanning](https://attack.mitre.org/techniques/T1046/)
- [PTES Technical Guidelines](http://www.pentest-standard.org/index.php/Intelligence_Gathering)
- [OWASP Testing Guide: Information Gathering](https://owasp.org/www-project-web-security-testing-guide/stable/4-Web_Application_Security_Testing/01-Information_Gathering/)

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# Assets Directory
Place files that will be used in the output Claude produces:
- Templates
- Configuration files
- Images/logos
- Boilerplate code
These files are NOT loaded into context but copied/modified in output.

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# Security-Enhanced CI/CD Pipeline Template
#
# This template demonstrates security best practices for CI/CD pipelines.
# Adapt this template to your specific security tool and workflow needs.
#
# Key Security Features:
# - SAST (Static Application Security Testing)
# - Dependency vulnerability scanning
# - Secrets detection
# - Infrastructure-as-Code security scanning
# - Container image scanning
# - Security artifact uploading for compliance
name: Security Scan Pipeline
on:
push:
branches: [main, develop]
pull_request:
branches: [main, develop]
schedule:
# Run weekly security scans on Sunday at 2 AM UTC
- cron: '0 2 * * 0'
workflow_dispatch: # Allow manual trigger
# Security: Restrict permissions to minimum required
permissions:
contents: read
security-events: write # For uploading SARIF results
pull-requests: write # For commenting on PRs
env:
# Configuration
SECURITY_SCAN_FAIL_ON: 'critical,high' # Fail build on these severities
REPORT_DIR: 'security-reports'
jobs:
# Job 1: Static Application Security Testing (SAST)
sast-scan:
name: SAST Security Scan
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0 # Full history for better analysis
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Run SAST Scanner
run: |
# Example: Using Semgrep for SAST
pip install semgrep
semgrep --config=auto \
--json \
--output ${{ env.REPORT_DIR }}/sast-results.json \
. || true
# Alternative: Bandit for Python projects
# pip install bandit
# bandit -r . -f json -o ${{ env.REPORT_DIR }}/bandit-results.json
- name: Process SAST Results
run: |
# Parse results and fail on critical/high severity
python3 -c "
import json
import sys
with open('${{ env.REPORT_DIR }}/sast-results.json') as f:
results = json.load(f)
critical = len([r for r in results.get('results', []) if r.get('extra', {}).get('severity') == 'ERROR'])
high = len([r for r in results.get('results', []) if r.get('extra', {}).get('severity') == 'WARNING'])
print(f'Critical findings: {critical}')
print(f'High findings: {high}')
if critical > 0:
print('❌ Build failed: Critical security issues found')
sys.exit(1)
elif high > 0:
print('⚠️ Warning: High severity issues found')
# Optionally fail on high severity
# sys.exit(1)
else:
print('✅ No critical security issues found')
"
- name: Upload SAST Results
if: always()
uses: actions/upload-artifact@v4
with:
name: sast-results
path: ${{ env.REPORT_DIR }}/sast-results.json
retention-days: 30
# Job 2: Dependency Vulnerability Scanning
dependency-scan:
name: Dependency Vulnerability Scan
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Scan Python Dependencies
if: hashFiles('requirements.txt') != ''
run: |
pip install safety
safety check \
--json \
--output ${{ env.REPORT_DIR }}/safety-results.json \
|| true
- name: Scan Node Dependencies
if: hashFiles('package.json') != ''
run: |
npm audit --json > ${{ env.REPORT_DIR }}/npm-audit.json || true
- name: Process Dependency Results
run: |
# Check for critical vulnerabilities
if [ -f "${{ env.REPORT_DIR }}/safety-results.json" ]; then
critical_count=$(python3 -c "import json; data=json.load(open('${{ env.REPORT_DIR }}/safety-results.json')); print(len([v for v in data.get('vulnerabilities', []) if v.get('severity', '').lower() == 'critical']))")
echo "Critical vulnerabilities: $critical_count"
if [ "$critical_count" -gt "0" ]; then
echo "❌ Build failed: Critical vulnerabilities in dependencies"
exit 1
fi
fi
- name: Upload Dependency Scan Results
if: always()
uses: actions/upload-artifact@v4
with:
name: dependency-scan-results
path: ${{ env.REPORT_DIR }}/
retention-days: 30
# Job 3: Secrets Detection
secrets-scan:
name: Secrets Detection
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0 # Full history to scan all commits
- name: Run Gitleaks
uses: gitleaks/gitleaks-action@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
GITLEAKS_ENABLE_SUMMARY: true
- name: Alternative - TruffleHog Scan
if: false # Set to true to enable
run: |
pip install truffleHog
trufflehog --json --regex --entropy=True . \
> ${{ env.REPORT_DIR }}/trufflehog-results.json || true
- name: Upload Secrets Scan Results
if: always()
uses: actions/upload-artifact@v4
with:
name: secrets-scan-results
path: ${{ env.REPORT_DIR }}/
retention-days: 30
# Job 4: Container Image Scanning
container-scan:
name: Container Image Security Scan
runs-on: ubuntu-latest
if: hashFiles('Dockerfile') != ''
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Build Docker Image
run: |
docker build -t app:${{ github.sha }} .
- name: Run Trivy Scanner
uses: aquasecurity/trivy-action@master
with:
image-ref: app:${{ github.sha }}
format: 'sarif'
output: '${{ env.REPORT_DIR }}/trivy-results.sarif'
severity: 'CRITICAL,HIGH'
- name: Upload Trivy Results to GitHub Security
if: always()
uses: github/codeql-action/upload-sarif@v3
with:
sarif_file: '${{ env.REPORT_DIR }}/trivy-results.sarif'
- name: Upload Container Scan Results
if: always()
uses: actions/upload-artifact@v4
with:
name: container-scan-results
path: ${{ env.REPORT_DIR }}/
retention-days: 30
# Job 5: Infrastructure-as-Code Security Scanning
iac-scan:
name: IaC Security Scan
runs-on: ubuntu-latest
if: hashFiles('**/*.tf', '**/*.yaml', '**/*.yml') != ''
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Run Checkov
run: |
pip install checkov
checkov -d . \
--output json \
--output-file ${{ env.REPORT_DIR }}/checkov-results.json \
--quiet \
|| true
- name: Run tfsec (for Terraform)
if: hashFiles('**/*.tf') != ''
run: |
curl -s https://raw.githubusercontent.com/aquasecurity/tfsec/master/scripts/install_linux.sh | bash
tfsec . \
--format json \
--out ${{ env.REPORT_DIR }}/tfsec-results.json \
|| true
- name: Process IaC Results
run: |
# Fail on critical findings
if [ -f "${{ env.REPORT_DIR }}/checkov-results.json" ]; then
critical_count=$(python3 -c "import json; data=json.load(open('${{ env.REPORT_DIR }}/checkov-results.json')); print(data.get('summary', {}).get('failed', 0))")
echo "Failed checks: $critical_count"
if [ "$critical_count" -gt "0" ]; then
echo "⚠️ Warning: IaC security issues found"
# Optionally fail the build
# exit 1
fi
fi
- name: Upload IaC Scan Results
if: always()
uses: actions/upload-artifact@v4
with:
name: iac-scan-results
path: ${{ env.REPORT_DIR }}/
retention-days: 30
# Job 6: Security Report Generation and Notification
security-report:
name: Generate Security Report
runs-on: ubuntu-latest
needs: [sast-scan, dependency-scan, secrets-scan]
if: always()
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Download All Scan Results
uses: actions/download-artifact@v4
with:
path: all-results/
- name: Generate Consolidated Report
run: |
# Consolidate all security scan results
mkdir -p consolidated-report
cat > consolidated-report/security-summary.md << 'EOF'
# Security Scan Summary
**Scan Date**: $(date -u +"%Y-%m-%d %H:%M:%S UTC")
**Commit**: ${{ github.sha }}
**Branch**: ${{ github.ref_name }}
## Scan Results
### SAST Scan
See artifacts: `sast-results`
### Dependency Scan
See artifacts: `dependency-scan-results`
### Secrets Scan
See artifacts: `secrets-scan-results`
### Container Scan
See artifacts: `container-scan-results`
### IaC Scan
See artifacts: `iac-scan-results`
---
For detailed results, download scan artifacts from this workflow run.
EOF
- name: Comment on PR (if applicable)
if: github.event_name == 'pull_request'
uses: actions/github-script@v7
with:
script: |
const fs = require('fs');
const report = fs.readFileSync('consolidated-report/security-summary.md', 'utf8');
github.rest.issues.createComment({
issue_number: context.issue.number,
owner: context.repo.owner,
repo: context.repo.repo,
body: report
});
- name: Upload Consolidated Report
if: always()
uses: actions/upload-artifact@v4
with:
name: consolidated-security-report
path: consolidated-report/
retention-days: 90
# Security Best Practices Demonstrated:
#
# 1. ✅ Minimal permissions (principle of least privilege)
# 2. ✅ Multiple security scan types (defense in depth)
# 3. ✅ Fail-fast on critical findings
# 4. ✅ Secrets detection across full git history
# 5. ✅ Container image scanning before deployment
# 6. ✅ IaC scanning for misconfigurations
# 7. ✅ Artifact retention for compliance audit trail
# 8. ✅ SARIF format for GitHub Security integration
# 9. ✅ Scheduled scans for continuous monitoring
# 10. ✅ PR comments for developer feedback
#
# Compliance Mappings:
# - SOC 2: CC6.1, CC6.6, CC7.2 (Security monitoring and logging)
# - PCI-DSS: 6.2, 6.5 (Secure development practices)
# - NIST: SA-11 (Developer Security Testing)
# - OWASP: Integrated security testing throughout SDLC

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# Security Rule Template
#
# This template demonstrates how to structure security rules/policies.
# Adapt this template to your specific security tool (Semgrep, OPA, etc.)
#
# Rule Structure Best Practices:
# - Clear rule ID and metadata
# - Severity classification
# - Framework mappings (OWASP, CWE)
# - Remediation guidance
# - Example vulnerable and fixed code
rules:
# Example Rule 1: SQL Injection Detection
- id: sql-injection-string-concatenation
metadata:
name: "SQL Injection via String Concatenation"
description: "Detects potential SQL injection vulnerabilities from string concatenation in SQL queries"
severity: "HIGH"
category: "security"
subcategory: "injection"
# Security Framework Mappings
owasp:
- "A03:2021 - Injection"
cwe:
- "CWE-89: SQL Injection"
mitre_attack:
- "T1190: Exploit Public-Facing Application"
# Compliance Standards
compliance:
- "PCI-DSS 6.5.1: Injection flaws"
- "NIST 800-53 SI-10: Information Input Validation"
# Confidence and Impact
confidence: "HIGH"
likelihood: "HIGH"
impact: "HIGH"
# References
references:
- "https://owasp.org/www-community/attacks/SQL_Injection"
- "https://cwe.mitre.org/data/definitions/89.html"
- "https://cheatsheetseries.owasp.org/cheatsheets/SQL_Injection_Prevention_Cheat_Sheet.html"
# Languages this rule applies to
languages:
- python
- javascript
- java
- go
# Detection Pattern (example using Semgrep-style syntax)
pattern-either:
- pattern: |
cursor.execute($SQL + $VAR)
- pattern: |
cursor.execute(f"... {$VAR} ...")
- pattern: |
cursor.execute("..." + $VAR + "...")
# What to report when found
message: |
Potential SQL injection vulnerability detected. SQL query is constructed using
string concatenation or f-strings with user input. This allows attackers to
inject malicious SQL code.
Use parameterized queries instead:
- Python: cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
- JavaScript: db.query("SELECT * FROM users WHERE id = $1", [userId])
See: https://owasp.org/www-community/attacks/SQL_Injection
# Suggested fix (auto-fix if supported)
fix: |
Use parameterized queries with placeholders
# Example vulnerable code
examples:
- vulnerable: |
# Vulnerable: String concatenation
user_id = request.GET['id']
query = "SELECT * FROM users WHERE id = " + user_id
cursor.execute(query)
- fixed: |
# Fixed: Parameterized query
user_id = request.GET['id']
query = "SELECT * FROM users WHERE id = ?"
cursor.execute(query, (user_id,))
# Example Rule 2: Hardcoded Secrets Detection
- id: hardcoded-secret-credential
metadata:
name: "Hardcoded Secret or Credential"
description: "Detects hardcoded secrets, API keys, passwords, or tokens in source code"
severity: "CRITICAL"
category: "security"
subcategory: "secrets"
owasp:
- "A07:2021 - Identification and Authentication Failures"
cwe:
- "CWE-798: Use of Hard-coded Credentials"
- "CWE-259: Use of Hard-coded Password"
compliance:
- "PCI-DSS 8.2.1: Use of strong cryptography"
- "SOC 2 CC6.1: Logical access controls"
- "GDPR Article 32: Security of processing"
confidence: "MEDIUM"
likelihood: "HIGH"
impact: "CRITICAL"
references:
- "https://cwe.mitre.org/data/definitions/798.html"
- "https://owasp.org/www-community/vulnerabilities/Use_of_hard-coded_password"
languages:
- python
- javascript
- java
- go
- ruby
pattern-either:
- pattern: |
password = "..."
- pattern: |
api_key = "..."
- pattern: |
secret = "..."
- pattern: |
token = "..."
pattern-not: |
$VAR = ""
message: |
Potential hardcoded secret detected. Hardcoding credentials in source code
is a critical security vulnerability that can lead to unauthorized access
if the code is exposed.
Use environment variables or a secrets management system instead:
- Python: os.environ.get('API_KEY')
- Node.js: process.env.API_KEY
- Secrets Manager: AWS Secrets Manager, HashiCorp Vault, etc.
See: https://cwe.mitre.org/data/definitions/798.html
examples:
- vulnerable: |
# Vulnerable: Hardcoded API key
api_key = "sk-1234567890abcdef"
api.authenticate(api_key)
- fixed: |
# Fixed: Environment variable
import os
api_key = os.environ.get('API_KEY')
if not api_key:
raise ValueError("API_KEY environment variable not set")
api.authenticate(api_key)
# Example Rule 3: XSS via Unsafe HTML Rendering
- id: xss-unsafe-html-rendering
metadata:
name: "Cross-Site Scripting (XSS) via Unsafe HTML"
description: "Detects unsafe HTML rendering that could lead to XSS vulnerabilities"
severity: "HIGH"
category: "security"
subcategory: "xss"
owasp:
- "A03:2021 - Injection"
cwe:
- "CWE-79: Cross-site Scripting (XSS)"
- "CWE-80: Improper Neutralization of Script-Related HTML Tags"
compliance:
- "PCI-DSS 6.5.7: Cross-site scripting"
- "NIST 800-53 SI-10: Information Input Validation"
confidence: "HIGH"
likelihood: "MEDIUM"
impact: "HIGH"
references:
- "https://owasp.org/www-community/attacks/xss/"
- "https://cwe.mitre.org/data/definitions/79.html"
- "https://cheatsheetseries.owasp.org/cheatsheets/Cross_Site_Scripting_Prevention_Cheat_Sheet.html"
languages:
- javascript
- typescript
- jsx
- tsx
pattern-either:
- pattern: |
dangerouslySetInnerHTML={{__html: $VAR}}
- pattern: |
innerHTML = $VAR
message: |
Potential XSS vulnerability detected. Setting HTML content directly from
user input without sanitization can allow attackers to inject malicious
JavaScript code.
Use one of these safe alternatives:
- React: Use {userInput} for automatic escaping
- DOMPurify: const clean = DOMPurify.sanitize(dirty);
- Framework-specific sanitizers
See: https://owasp.org/www-community/attacks/xss/
examples:
- vulnerable: |
// Vulnerable: Unsanitized HTML
function UserComment({ comment }) {
return <div dangerouslySetInnerHTML={{__html: comment}} />;
}
- fixed: |
// Fixed: Sanitized with DOMPurify
import DOMPurify from 'dompurify';
function UserComment({ comment }) {
const sanitized = DOMPurify.sanitize(comment);
return <div dangerouslySetInnerHTML={{__html: sanitized}} />;
}
# Example Rule 4: Insecure Cryptography
- id: weak-cryptographic-algorithm
metadata:
name: "Weak Cryptographic Algorithm"
description: "Detects use of weak or deprecated cryptographic algorithms"
severity: "HIGH"
category: "security"
subcategory: "cryptography"
owasp:
- "A02:2021 - Cryptographic Failures"
cwe:
- "CWE-327: Use of a Broken or Risky Cryptographic Algorithm"
- "CWE-326: Inadequate Encryption Strength"
compliance:
- "PCI-DSS 4.1: Use strong cryptography"
- "NIST 800-53 SC-13: Cryptographic Protection"
- "GDPR Article 32: Security of processing"
confidence: "HIGH"
likelihood: "MEDIUM"
impact: "HIGH"
references:
- "https://cwe.mitre.org/data/definitions/327.html"
- "https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/09-Testing_for_Weak_Cryptography/"
languages:
- python
- javascript
- java
pattern-either:
- pattern: |
hashlib.md5(...)
- pattern: |
hashlib.sha1(...)
- pattern: |
crypto.createHash('md5')
- pattern: |
crypto.createHash('sha1')
message: |
Weak cryptographic algorithm detected (MD5 or SHA1). These algorithms are
considered cryptographically broken and should not be used for security purposes.
Use strong alternatives:
- For hashing: SHA-256, SHA-384, or SHA-512
- For password hashing: bcrypt, argon2, or PBKDF2
- Python: hashlib.sha256()
- Node.js: crypto.createHash('sha256')
See: https://cwe.mitre.org/data/definitions/327.html
examples:
- vulnerable: |
# Vulnerable: MD5 hash
import hashlib
hash_value = hashlib.md5(data).hexdigest()
- fixed: |
# Fixed: SHA-256 hash
import hashlib
hash_value = hashlib.sha256(data).hexdigest()
# Rule Configuration
configuration:
# Global settings
enabled: true
severity_threshold: "MEDIUM" # Report findings at MEDIUM severity and above
# Performance tuning
max_file_size_kb: 1024
exclude_patterns:
- "test/*"
- "tests/*"
- "node_modules/*"
- "vendor/*"
- "*.min.js"
# False positive reduction
confidence_threshold: "MEDIUM" # Only report findings with MEDIUM confidence or higher
# Rule Metadata Schema
# This section documents the expected structure for rules
metadata_schema:
required:
- id: "Unique identifier for the rule (kebab-case)"
- name: "Human-readable rule name"
- description: "What the rule detects"
- severity: "CRITICAL | HIGH | MEDIUM | LOW | INFO"
- category: "security | best-practice | performance"
optional:
- subcategory: "Specific type (injection, xss, secrets, etc.)"
- owasp: "OWASP Top 10 mappings"
- cwe: "CWE identifier(s)"
- mitre_attack: "MITRE ATT&CK technique(s)"
- compliance: "Compliance standard references"
- confidence: "Detection confidence level"
- likelihood: "Likelihood of exploitation"
- impact: "Potential impact if exploited"
- references: "External documentation links"
# Usage Instructions:
#
# 1. Copy this template when creating new security rules
# 2. Update metadata fields with appropriate framework mappings
# 3. Customize detection patterns for your tool (Semgrep, OPA, etc.)
# 4. Provide clear remediation guidance in the message field
# 5. Include both vulnerable and fixed code examples
# 6. Test rules on real codebases before deployment
#
# Best Practices:
# - Map to multiple frameworks (OWASP, CWE, MITRE ATT&CK)
# - Include compliance standard references
# - Provide actionable remediation guidance
# - Show code examples (vulnerable vs. fixed)
# - Tune confidence levels to reduce false positives
# - Exclude test directories to reduce noise

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# Reference Document Template
This file demonstrates how to structure detailed reference material that Claude loads on-demand.
**When to use this reference**: Include a clear statement about when Claude should consult this document.
For example: "Consult this reference when analyzing Python code for security vulnerabilities and needing detailed remediation patterns."
**Document purpose**: Briefly explain what this reference provides that's not in SKILL.md.
---
## Table of Contents
**For documents >100 lines, always include a table of contents** to help Claude navigate quickly.
- [When to Use References](#when-to-use-references)
- [Document Organization](#document-organization)
- [Detailed Technical Content](#detailed-technical-content)
- [Security Framework Mappings](#security-framework-mappings)
- [OWASP Top 10](#owasp-top-10)
- [CWE Mappings](#cwe-mappings)
- [MITRE ATT&CK](#mitre-attck)
- [Remediation Patterns](#remediation-patterns)
- [Advanced Configuration](#advanced-configuration)
- [Examples and Code Samples](#examples-and-code-samples)
---
## When to Use References
**Move content from SKILL.md to references/** when:
1. **Content exceeds 100 lines** - Keep SKILL.md concise
2. **Framework-specific details** - Detailed OWASP/CWE/MITRE mappings
3. **Advanced user content** - Deep technical details for expert users
4. **Lookup-oriented content** - Rule libraries, configuration matrices, comprehensive lists
5. **Language-specific patterns** - Separate files per language/framework
6. **Historical context** - Old patterns and deprecated approaches
**Keep in SKILL.md**:
- Core workflows (top 3-5 use cases)
- Decision points and branching logic
- Quick start guidance
- Essential security considerations
---
## Document Organization
### Structure for Long Documents
For references >100 lines:
```markdown
# Title
**When to use**: Clear trigger statement
**Purpose**: What this provides
## Table of Contents
- Links to all major sections
## Quick Reference
- Key facts or commands for fast lookup
## Detailed Content
- Comprehensive information organized logically
## Framework Mappings
- OWASP, CWE, MITRE ATT&CK references
## Examples
- Code samples and patterns
```
### Section Naming Conventions
- Use **imperative** or **declarative** headings
- ✅ "Detecting SQL Injection" not "How to detect SQL Injection"
- ✅ "Common Patterns" not "These are common patterns"
- Make headings **searchable** and **specific**
---
## Detailed Technical Content
This section demonstrates the type of detailed content that belongs in references rather than SKILL.md.
### Example: Comprehensive Vulnerability Detection
#### SQL Injection Detection Patterns
**Pattern 1: String Concatenation in Queries**
```python
# Vulnerable pattern
query = "SELECT * FROM users WHERE id = " + user_id
cursor.execute(query)
# Detection criteria:
# - SQL keyword (SELECT, INSERT, UPDATE, DELETE)
# - String concatenation operator (+, f-string)
# - Variable user input (request params, form data)
# Severity: HIGH
# CWE: CWE-89
# OWASP: A03:2021 - Injection
```
**Remediation**:
```python
# Fixed: Parameterized query
query = "SELECT * FROM users WHERE id = ?"
cursor.execute(query, (user_id,))
# OR using ORM
user = User.objects.get(id=user_id)
```
**Pattern 2: Unsafe String Formatting**
```python
# Vulnerable patterns
query = f"SELECT * FROM users WHERE name = '{username}'"
query = "SELECT * FROM users WHERE name = '%s'" % username
query = "SELECT * FROM users WHERE name = '{}'".format(username)
# All three patterns are vulnerable to SQL injection
```
#### Cross-Site Scripting (XSS) Detection
**Pattern 1: Unescaped Output in Templates**
```javascript
// Vulnerable: Direct HTML injection
element.innerHTML = userInput;
document.write(userInput);
// Vulnerable: React dangerouslySetInnerHTML
<div dangerouslySetInnerHTML={{__html: userComment}} />
// Detection criteria:
# - Direct DOM manipulation (innerHTML, document.write)
# - React dangerouslySetInnerHTML with user data
# - Template engines with autoescaping disabled
// Severity: HIGH
// CWE: CWE-79
// OWASP: A03:2021 - Injection
```
**Remediation**:
```javascript
// Fixed: Escaped output
element.textContent = userInput; // Auto-escapes
// Fixed: Sanitization library
import DOMPurify from 'dompurify';
const clean = DOMPurify.sanitize(userComment);
<div dangerouslySetInnerHTML={{__html: clean}} />
```
---
## Security Framework Mappings
This section provides comprehensive security framework mappings for findings.
### OWASP Top 10
Map security findings to OWASP Top 10 (2021) categories:
| Category | Title | Common Vulnerabilities |
|----------|-------|----------------------|
| **A01:2021** | Broken Access Control | Authorization bypass, privilege escalation, IDOR |
| **A02:2021** | Cryptographic Failures | Weak crypto, plaintext storage, insecure TLS |
| **A03:2021** | Injection | SQL injection, XSS, command injection, LDAP injection |
| **A04:2021** | Insecure Design | Missing security controls, threat modeling gaps |
| **A05:2021** | Security Misconfiguration | Default configs, verbose errors, unnecessary features |
| **A06:2021** | Vulnerable Components | Outdated libraries, unpatched dependencies |
| **A07:2021** | Auth & Session Failures | Weak passwords, session fixation, missing MFA |
| **A08:2021** | Software & Data Integrity | Unsigned updates, insecure CI/CD, deserialization |
| **A09:2021** | Logging & Monitoring Failures | Insufficient logging, no alerting, log injection |
| **A10:2021** | SSRF | Server-side request forgery, unvalidated redirects |
**Usage**: When reporting findings, map to primary OWASP category and reference the identifier (e.g., "A03:2021 - Injection").
### CWE Mappings
Map to relevant Common Weakness Enumeration categories for precise vulnerability classification:
#### Injection Vulnerabilities
- **CWE-78**: OS Command Injection
- **CWE-79**: Cross-site Scripting (XSS)
- **CWE-89**: SQL Injection
- **CWE-90**: LDAP Injection
- **CWE-91**: XML Injection
- **CWE-94**: Code Injection
#### Authentication & Authorization
- **CWE-287**: Improper Authentication
- **CWE-288**: Authentication Bypass Using Alternate Path
- **CWE-290**: Authentication Bypass by Spoofing
- **CWE-294**: Authentication Bypass by Capture-replay
- **CWE-306**: Missing Authentication for Critical Function
- **CWE-307**: Improper Restriction of Excessive Authentication Attempts
- **CWE-352**: Cross-Site Request Forgery (CSRF)
#### Cryptographic Issues
- **CWE-256**: Plaintext Storage of Password
- **CWE-259**: Use of Hard-coded Password
- **CWE-261**: Weak Encoding for Password
- **CWE-321**: Use of Hard-coded Cryptographic Key
- **CWE-326**: Inadequate Encryption Strength
- **CWE-327**: Use of Broken or Risky Cryptographic Algorithm
- **CWE-329**: Not Using a Random IV with CBC Mode
- **CWE-798**: Use of Hard-coded Credentials
#### Input Validation
- **CWE-20**: Improper Input Validation
- **CWE-73**: External Control of File Name or Path
- **CWE-434**: Unrestricted Upload of File with Dangerous Type
- **CWE-601**: URL Redirection to Untrusted Site
#### Sensitive Data Exposure
- **CWE-200**: Information Exposure
- **CWE-209**: Information Exposure Through Error Message
- **CWE-312**: Cleartext Storage of Sensitive Information
- **CWE-319**: Cleartext Transmission of Sensitive Information
- **CWE-532**: Information Exposure Through Log Files
**Usage**: Include CWE identifier in all vulnerability reports for standardized classification.
### MITRE ATT&CK
Reference relevant tactics and techniques for threat context:
#### Initial Access (TA0001)
- **T1190**: Exploit Public-Facing Application
- **T1133**: External Remote Services
- **T1078**: Valid Accounts
#### Execution (TA0002)
- **T1059**: Command and Scripting Interpreter
- **T1203**: Exploitation for Client Execution
#### Persistence (TA0003)
- **T1098**: Account Manipulation
- **T1136**: Create Account
- **T1505**: Server Software Component
#### Privilege Escalation (TA0004)
- **T1068**: Exploitation for Privilege Escalation
- **T1548**: Abuse Elevation Control Mechanism
#### Defense Evasion (TA0005)
- **T1027**: Obfuscated Files or Information
- **T1140**: Deobfuscate/Decode Files or Information
- **T1562**: Impair Defenses
#### Credential Access (TA0006)
- **T1110**: Brute Force
- **T1555**: Credentials from Password Stores
- **T1552**: Unsecured Credentials
#### Discovery (TA0007)
- **T1083**: File and Directory Discovery
- **T1046**: Network Service Scanning
#### Collection (TA0009)
- **T1005**: Data from Local System
- **T1114**: Email Collection
#### Exfiltration (TA0010)
- **T1041**: Exfiltration Over C2 Channel
- **T1567**: Exfiltration Over Web Service
**Usage**: When identifying vulnerabilities, consider which ATT&CK techniques an attacker could use to exploit them.
---
## Remediation Patterns
This section provides specific remediation guidance for common vulnerability types.
### SQL Injection Remediation
**Step 1: Identify vulnerable queries**
- Search for string concatenation in SQL queries
- Check for f-strings or format() with SQL keywords
- Review all database interaction code
**Step 2: Apply parameterized queries**
```python
# Python with sqlite3
cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
# Python with psycopg2 (PostgreSQL)
cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,))
# Python with SQLAlchemy (ORM)
from sqlalchemy import text
result = session.execute(text("SELECT * FROM users WHERE id = :id"), {"id": user_id})
```
**Step 3: Validate and sanitize input** (defense in depth)
```python
import re
# Validate input format
if not re.match(r'^\d+$', user_id):
raise ValueError("Invalid user ID format")
# Use ORM query builders
user = User.query.filter_by(id=user_id).first()
```
**Step 4: Implement least privilege**
- Database user should have minimum required permissions
- Use read-only accounts for SELECT operations
- Never use admin/root accounts for application queries
### XSS Remediation
**Step 1: Enable auto-escaping**
- Most modern frameworks escape by default
- Ensure auto-escaping is not disabled
**Step 2: Use framework-specific safe methods**
```javascript
// React: Use JSX (auto-escapes)
<div>{userInput}</div>
// Vue: Use template syntax (auto-escapes)
<div>{{ userInput }}</div>
// Angular: Use property binding (auto-escapes)
<div [textContent]="userInput"></div>
```
**Step 3: Sanitize when HTML is required**
```javascript
import DOMPurify from 'dompurify';
// Sanitize HTML content
const clean = DOMPurify.sanitize(userHTML, {
ALLOWED_TAGS: ['b', 'i', 'em', 'strong', 'p'],
ALLOWED_ATTR: []
});
```
**Step 4: Content Security Policy (CSP)**
```html
<!-- Add CSP header -->
Content-Security-Policy: default-src 'self'; script-src 'self' 'nonce-{random}'
```
---
## Advanced Configuration
This section contains detailed configuration options and tuning parameters.
### Example: SAST Tool Configuration
```yaml
# Advanced security scanner configuration
scanner:
# Severity threshold
severity_threshold: MEDIUM
# Rule configuration
rules:
enabled:
- sql-injection
- xss
- hardcoded-secrets
disabled:
- informational-only
# False positive reduction
confidence_threshold: HIGH
exclude_patterns:
- "*/test/*"
- "*/tests/*"
- "*/node_modules/*"
- "*.test.js"
- "*.spec.ts"
# Performance tuning
max_file_size_kb: 2048
timeout_seconds: 300
parallel_jobs: 4
# Output configuration
output_format: json
include_code_snippets: true
max_snippet_lines: 10
```
---
## Examples and Code Samples
This section provides comprehensive code examples for various scenarios.
### Example 1: Secure API Authentication
```python
# Secure API key handling
import os
from functools import wraps
from flask import Flask, request, jsonify
app = Flask(__name__)
# Load API key from environment (never hardcode)
VALID_API_KEY = os.environ.get('API_KEY')
if not VALID_API_KEY:
raise ValueError("API_KEY environment variable not set")
def require_api_key(f):
@wraps(f)
def decorated_function(*args, **kwargs):
api_key = request.headers.get('X-API-Key')
if not api_key:
return jsonify({'error': 'API key required'}), 401
# Constant-time comparison to prevent timing attacks
import hmac
if not hmac.compare_digest(api_key, VALID_API_KEY):
return jsonify({'error': 'Invalid API key'}), 403
return f(*args, **kwargs)
return decorated_function
@app.route('/api/secure-endpoint')
@require_api_key
def secure_endpoint():
return jsonify({'message': 'Access granted'})
```
### Example 2: Secure Password Hashing
```python
# Secure password storage with bcrypt
import bcrypt
def hash_password(password: str) -> str:
"""Hash a password using bcrypt."""
# Generate salt and hash password
salt = bcrypt.gensalt(rounds=12) # Cost factor: 12 (industry standard)
hashed = bcrypt.hashpw(password.encode('utf-8'), salt)
return hashed.decode('utf-8')
def verify_password(password: str, hashed: str) -> bool:
"""Verify a password against a hash."""
return bcrypt.checkpw(
password.encode('utf-8'),
hashed.encode('utf-8')
)
# Usage
stored_hash = hash_password("user_password")
is_valid = verify_password("user_password", stored_hash) # True
```
### Example 3: Secure File Upload
```python
# Secure file upload with validation
import os
import magic
from werkzeug.utils import secure_filename
ALLOWED_EXTENSIONS = {'pdf', 'png', 'jpg', 'jpeg'}
ALLOWED_MIME_TYPES = {
'application/pdf',
'image/png',
'image/jpeg'
}
MAX_FILE_SIZE = 5 * 1024 * 1024 # 5 MB
def is_allowed_file(filename: str, file_content: bytes) -> bool:
"""Validate file extension and MIME type."""
# Check extension
if '.' not in filename:
return False
ext = filename.rsplit('.', 1)[1].lower()
if ext not in ALLOWED_EXTENSIONS:
return False
# Check MIME type (prevent extension spoofing)
mime = magic.from_buffer(file_content, mime=True)
if mime not in ALLOWED_MIME_TYPES:
return False
return True
def handle_upload(file):
"""Securely handle file upload."""
# Check file size
file.seek(0, os.SEEK_END)
size = file.tell()
file.seek(0)
if size > MAX_FILE_SIZE:
raise ValueError("File too large")
# Read content for validation
content = file.read()
file.seek(0)
# Validate file type
if not is_allowed_file(file.filename, content):
raise ValueError("Invalid file type")
# Sanitize filename
filename = secure_filename(file.filename)
# Generate unique filename to prevent overwrite attacks
import uuid
unique_filename = f"{uuid.uuid4()}_{filename}"
# Save to secure location (outside web root)
upload_path = os.path.join('/secure/uploads', unique_filename)
file.save(upload_path)
return unique_filename
```
---
## Best Practices for Reference Documents
1. **Start with "When to use"** - Help Claude know when to load this reference
2. **Include table of contents** - For documents >100 lines
3. **Use concrete examples** - Code samples with vulnerable and fixed versions
4. **Map to frameworks** - OWASP, CWE, MITRE ATT&CK for context
5. **Provide remediation** - Don't just identify issues, show how to fix them
6. **Organize logically** - Group related content, use clear headings
7. **Keep examples current** - Use modern patterns and current framework versions
8. **Be concise** - Even in references, challenge every sentence

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# Workflow Checklist Template
This template demonstrates workflow patterns for security operations. Copy and adapt these checklists to your specific skill needs.
## Pattern 1: Sequential Workflow Checklist
Use this pattern for operations that must be completed in order, step-by-step.
### Security Assessment Workflow
Progress:
[ ] 1. Identify application entry points and attack surface
[ ] 2. Map authentication and authorization flows
[ ] 3. Identify data flows and sensitive data handling
[ ] 4. Review existing security controls
[ ] 5. Document findings with framework references (OWASP, CWE)
[ ] 6. Prioritize findings by severity (CVSS scores)
[ ] 7. Generate report with remediation recommendations
Work through each step systematically. Check off completed items.
---
## Pattern 2: Conditional Workflow
Use this pattern when the workflow branches based on findings or conditions.
### Vulnerability Remediation Workflow
1. Identify vulnerability type
- If SQL Injection → See [sql-injection-remediation.md](sql-injection-remediation.md)
- If XSS (Cross-Site Scripting) → See [xss-remediation.md](xss-remediation.md)
- If Authentication flaw → See [auth-remediation.md](auth-remediation.md)
- If Authorization flaw → See [authz-remediation.md](authz-remediation.md)
- If Cryptographic issue → See [crypto-remediation.md](crypto-remediation.md)
2. Assess severity using CVSS calculator
- If CVSS >= 9.0 → Priority: Critical (immediate action)
- If CVSS 7.0-8.9 → Priority: High (action within 24h)
- If CVSS 4.0-6.9 → Priority: Medium (action within 1 week)
- If CVSS < 4.0 → Priority: Low (action within 30 days)
3. Apply appropriate remediation pattern
4. Validate fix with security testing
5. Document changes and update security documentation
---
## Pattern 3: Iterative Workflow
Use this pattern for operations that repeat across multiple targets or items.
### Code Security Review Workflow
For each file in the review scope:
1. Identify security-sensitive operations (auth, data access, crypto, input handling)
2. Check against secure coding patterns for the language
3. Flag potential vulnerabilities with severity rating
4. Map findings to CWE and OWASP categories
5. Suggest specific remediation approaches
6. Document finding with code location and fix priority
Continue until all files in scope have been reviewed.
---
## Pattern 4: Feedback Loop Workflow
Use this pattern when validation and iteration are required.
### Secure Configuration Generation Workflow
1. Generate initial security configuration based on requirements
2. Run validation script: `./scripts/validate_config.py config.yaml`
3. Review validation output:
- Note all errors (must fix)
- Note all warnings (should fix)
- Note all info items (consider)
4. Fix identified issues in configuration
5. Repeat steps 2-4 until validation passes with zero errors
6. Review warnings and determine if they should be addressed
7. Apply configuration once validation is clean
**Validation Loop**: Run validator → Fix errors → Repeat until clean
---
## Pattern 5: Parallel Analysis Workflow
Use this pattern when multiple independent analyses can run concurrently.
### Comprehensive Security Scan Workflow
Run these scans in parallel:
**Static Analysis**:
[ ] 1a. Run SAST scan (Semgrep/Bandit)
[ ] 1b. Run dependency vulnerability scan (Safety/npm audit)
[ ] 1c. Run secrets detection (Gitleaks/TruffleHog)
[ ] 1d. Run license compliance check
**Dynamic Analysis**:
[ ] 2a. Run DAST scan (ZAP/Burp)
[ ] 2b. Run API security testing
[ ] 2c. Run authentication/authorization testing
**Infrastructure Analysis**:
[ ] 3a. Run infrastructure-as-code scan (Checkov/tfsec)
[ ] 3b. Run container image scan (Trivy/Grype)
[ ] 3c. Run configuration review
**Consolidation**:
[ ] 4. Aggregate all findings
[ ] 5. Deduplicate and correlate findings
[ ] 6. Prioritize by risk (CVSS + exploitability + business impact)
[ ] 7. Generate unified security report
---
## Pattern 6: Research and Documentation Workflow
Use this pattern for security research and documentation tasks.
### Threat Modeling Workflow
Research Progress:
[ ] 1. Identify system components and boundaries
[ ] 2. Map data flows between components
[ ] 3. Identify trust boundaries
[ ] 4. Enumerate assets (data, services, credentials)
[ ] 5. Apply STRIDE framework to each component:
- Spoofing threats
- Tampering threats
- Repudiation threats
- Information disclosure threats
- Denial of service threats
- Elevation of privilege threats
[ ] 6. Map threats to MITRE ATT&CK techniques
[ ] 7. Identify existing mitigations
[ ] 8. Document residual risks
[ ] 9. Recommend additional security controls
[ ] 10. Generate threat model document
Work through each step systematically. Check off completed items.
---
## Pattern 7: Compliance Validation Workflow
Use this pattern for compliance checks against security standards.
### Security Compliance Audit Workflow
**SOC 2 Controls Review**:
[ ] 1. Review access control policies (CC6.1, CC6.2, CC6.3)
[ ] 2. Verify logical access controls implementation (CC6.1)
[ ] 3. Review authentication mechanisms (CC6.1)
[ ] 4. Verify encryption implementation (CC6.1, CC6.7)
[ ] 5. Review audit logging configuration (CC7.2)
[ ] 6. Verify security monitoring (CC7.2, CC7.3)
[ ] 7. Review incident response procedures (CC7.3, CC7.4)
[ ] 8. Verify backup and recovery processes (A1.2, A1.3)
**Evidence Collection**:
[ ] 9. Collect policy documents
[ ] 10. Collect configuration screenshots
[ ] 11. Collect audit logs
[ ] 12. Document control gaps
[ ] 13. Generate compliance report
---
## Pattern 8: Incident Response Workflow
Use this pattern for security incident handling.
### Security Incident Response Workflow
**Detection and Analysis**:
[ ] 1. Confirm security incident (rule out false positive)
[ ] 2. Determine incident severity (SEV1/2/3/4)
[ ] 3. Identify affected systems and data
[ ] 4. Preserve evidence (logs, memory dumps, network captures)
**Containment**:
[ ] 5. Isolate affected systems (network segmentation)
[ ] 6. Disable compromised accounts
[ ] 7. Block malicious indicators (IPs, domains, hashes)
[ ] 8. Implement temporary compensating controls
**Eradication**:
[ ] 9. Identify root cause
[ ] 10. Remove malicious artifacts (malware, backdoors, webshells)
[ ] 11. Patch vulnerabilities exploited
[ ] 12. Reset compromised credentials
**Recovery**:
[ ] 13. Restore systems from clean backups (if needed)
[ ] 14. Re-enable systems with monitoring
[ ] 15. Verify system integrity
[ ] 16. Resume normal operations
**Post-Incident**:
[ ] 17. Document incident timeline
[ ] 18. Identify lessons learned
[ ] 19. Update security controls to prevent recurrence
[ ] 20. Update incident response procedures
[ ] 21. Communicate with stakeholders
---
## Usage Guidelines
### When to Use Workflow Checklists
**Use checklists for**:
- Complex multi-step operations
- Operations requiring specific order
- Security assessments and audits
- Incident response procedures
- Compliance validation tasks
**Don't use checklists for**:
- Simple single-step operations
- Highly dynamic exploratory work
- Operations that vary significantly each time
### Adapting This Template
1. **Copy relevant pattern** to your skill's SKILL.md or create new reference file
2. **Customize steps** to match your specific security tool or process
3. **Add framework references** (OWASP, CWE, NIST) where applicable
4. **Include tool-specific commands** for automation
5. **Add decision points** where manual judgment is required
### Checklist Best Practices
- **Be specific**: "Run semgrep --config=auto ." not "Scan the code"
- **Include success criteria**: "Validation passes with 0 errors"
- **Reference standards**: Link to OWASP, CWE, NIST where relevant
- **Show progress**: Checkbox format helps track completion
- **Provide escape hatches**: "If validation fails, see troubleshooting.md"
### Integration with Feedback Loops
Combine checklists with validation scripts for maximum effectiveness:
1. Create checklist for the workflow
2. Provide validation script that checks quality
3. Include "run validator" step in checklist
4. Loop: Complete step → Validate → Fix issues → Re-validate
This pattern dramatically improves output quality through systematic validation.