Deploy DefectDojo as a centralized vulnerability management dashboard with scanner integrations, deduplication, metrics tracking, and Jira ticketing workflows.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbuilding-vulnerability-dashboard-with-defectdojoExecute the skills CLI command in your project's root directory to begin installation:
Fetches building-vulnerability-dashboard-with-defectdojo from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate building-vulnerability-dashboard-with-defectdojo. Access via /building-vulnerability-dashboard-with-defectdojo in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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| name | building-vulnerability-dashboard-with-defectdojo |
| description | Deploy DefectDojo as a centralized vulnerability management dashboard with scanner integrations, deduplication, metrics tracking, and Jira ticketing workflows. |
| domain | cybersecurity |
| subdomain | vulnerability-management |
| tags | - defectdojo - vulnerability-management - dashboard - deduplication - scanner-integration - devsecops - jira |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - ID.RA-01 - ID.RA-02 - ID.IM-02 - ID.RA-06 |
DefectDojo is an open-source application vulnerability management platform that aggregates findings from 200+ security tools, deduplicates results, tracks remediation progress, and provides executive dashboards. It serves as a central hub for vulnerability management, integrating with CI/CD pipelines, Jira for ticketing, and Slack for notifications. DefectDojo supports OWASP-based categorization and provides REST API for automation.
# Clone DefectDojo repository
git clone https://github.com/DefectDojo/django-DefectDojo.git
cd django-DefectDojo
# Start with Docker Compose (production mode)
./dc-up-d.sh
# Alternative: manual Docker Compose
docker compose up -d
# Check service status
docker compose ps
# View initial admin credentials
docker compose logs initializer 2>&1 | grep "Admin password"
# Access DefectDojo at http://localhost:8080
# Key environment variables in docker-compose.yml
DD_DATABASE_ENGINE=django.db.backends.postgresql
DD_DATABASE_HOST=postgres
DD_DATABASE_PORT=5432
DD_DATABASE_NAME=defectdojo
DD_DATABASE_USER=defectdojo
DD_DATABASE_PASSWORD=<secure_password>
DD_ALLOWED_HOSTS=*
DD_SECRET_KEY=<random_64_char_key>
DD_CREDENTIAL_AES_256_KEY=<random_128_bit_key>
DD_SOCIAL_AUTH_GOOGLE_OAUTH2_ENABLED=True
Product Type (Business Unit)
└── Product (Application/Service)
└── Engagement (Assessment/Sprint)
└── Test (Scanner Run)
└── Finding (Individual Vulnerability)
import requests
DD_URL = "http://localhost:8080/api/v2"
API_KEY = "your_api_key_here"
HEADERS = {"Authorization": f"Token {API_KEY}", "Content-Type": "application/json"}
# Create Product Type
resp = requests.post(f"{DD_URL}/product_types/", headers=HEADERS, json={
"name": "Web Applications",
"description": "Customer-facing web application portfolio"
})
product_type_id = resp.json()["id"]
# Create Product
resp = requests.post(f"{DD_URL}/products/", headers=HEADERS, json={
"name": "Customer Portal",
"description": "Main customer-facing web application",
"prod_type": product_type_id,
"sla_configuration": 1,
})
product_id = resp.json()["id"]
# Create Engagement
resp = requests.post(f"{DD_URL}/engagements/", headers=HEADERS, json={
"name": "Q1 2024 Security Assessment",
"product": product_id,
"target_start": "2024-01-01",
"target_end": "2024-03-31",
"engagement_type": "CI/CD",
"status": "In Progress",
})
engagement_id = resp.json()["id"]
# Upload Nessus scan results
curl -X POST "${DD_URL}/reimport-scan/" \
-H "Authorization: Token ${API_KEY}" \
-F "scan_type=Nessus Scan" \
-F "file=@nessus_report.csv" \
-F "product_name=Customer Portal" \
-F "engagement_name=Q1 2024 Security Assessment" \
-F "auto_create_context=true" \
-F "deduplication_on_engagement=true"
# Upload OWASP ZAP results
curl -X POST "${DD_URL}/reimport-scan/" \
-H "Authorization: Token ${API_KEY}" \
-F "scan_type=ZAP Scan" \
-F "file=@zap_report.xml" \
-F "product_name=Customer Portal" \
-F "engagement_name=Q1 2024 Security Assessment" \
-F "auto_create_context=true"
# Upload Trivy container scan
curl -X POST "${DD_URL}/reimport-scan/" \
-H "Authorization: Token ${API_KEY}" \
-F "scan_type=Trivy Scan" \
-F "file=@trivy_results.json" \
-F "product_name=Customer Portal" \
-F "engagement_name=Q1 2024 Security Assessment" \
-F "auto_create_context=true"
| Scanner | Type String | Format |
|---|---|---|
| Nessus | Nessus Scan | CSV/XML |
| OpenVAS | OpenVAS CSV | CSV |
| Qualys | Qualys Scan | XML |
| OWASP ZAP | ZAP Scan | XML/JSON |
| Burp Suite | Burp XML | XML |
| Trivy | Trivy Scan | JSON |
| Semgrep | Semgrep JSON Report | JSON |
| Snyk | Snyk Scan | JSON |
| SonarQube | SonarQube Scan | JSON |
| Checkov | Checkov Scan | JSON |
# .github/workflows/security-scan.yml
name: Security Scan
on: [push]
jobs:
scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Run Semgrep
run: |
pip install semgrep
semgrep --config auto --json -o semgrep_results.json .
- name: Upload to DefectDojo
run: |
curl -X POST "${{ secrets.DD_URL }}/api/v2/reimport-scan/" \
-H "Authorization: Token ${{ secrets.DD_API_KEY }}" \
-F "scan_type=Semgrep JSON Report" \
-F "file=@semgrep_results.json" \
-F "product_name=${{ github.event.repository.name }}" \
-F "engagement_name=CI/CD" \
-F "auto_create_context=true"
# Configure Jira integration in DefectDojo settings
jira_config = {
"url": "https://company.atlassian.net",
"username": "[email protected]",
"password": "jira_api_token",
"default_issue_type": "Bug",
"critical_mapping_severity": "Blocker",
"high_mapping_severity": "Critical",
"medium_mapping_severity": "Major",
"low_mapping_severity": "Minor",
"finding_text": "**Vulnerability**: {{ finding.title }}\n**Severity**: {{ finding.severity }}\n**CVE**: {{ finding.cve }}\n**Description**: {{ finding.description }}",
"accepted_mapping_resolution": "Done",
"close_status_key": 6,
}
# Get finding counts by severity
resp = requests.get(f"{DD_URL}/findings/?limit=0&active=true",
headers=HEADERS)
findings = resp.json()
# Get SLA breach counts
resp = requests.get(f"{DD_URL}/findings/?limit=0&active=true&sla_breached=true",
headers=HEADERS)
# Get product-level metrics
resp = requests.get(f"{DD_URL}/products/{product_id}/",
headers=HEADERS)
product_data = resp.json()
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
building-vulnerability-dashboard-with-defectdojo fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: building-vulnerability-dashboard-with-defectdojo is the kind of skill you can hand to a new teammate without a long onboarding doc.
building-vulnerability-dashboard-with-defectdojo has been reliable in day-to-day use. Documentation quality is above average for community skills.
building-vulnerability-dashboard-with-defectdojo reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for building-vulnerability-dashboard-with-defectdojo matched our evaluation — installs cleanly and behaves as described in the markdown.
building-vulnerability-dashboard-with-defectdojo has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: building-vulnerability-dashboard-with-defectdojo is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: building-vulnerability-dashboard-with-defectdojo is focused, and the summary matches what you get after install.
building-vulnerability-dashboard-with-defectdojo is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for building-vulnerability-dashboard-with-defectdojo matched our evaluation — installs cleanly and behaves as described in the markdown.
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