building-vulnerability-dashboard-with-defectdojo
Deploy DefectDojo as a centralized vulnerability management dashboard that ingests findings from 200+ security scanners, deduplicates results, tracks remediation metrics, and integrates with CI/CD, Jira ticketing, and Slack notifications via its REST API
Install / Use
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-vulnerability-dashboard-with-defectdojoInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of building-vulnerability-dashboard-with-defectdojo
building-vulnerability-dashboard-with-defectdojo scores 98/100 on our quality scale, 39th of 461 Security skills we index (top 9%).
Its SKILL.md is 7.6 KB long, well organised into 36 sections with 8 code examples: a thorough specification that gives an agent plenty to work with.
With 33,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 25 days ago, so building-vulnerability-dashboard-with-defectdojo is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
building-vulnerability-dashboard-with-defectdojo compared with similar skills
All 4 of these similar skills score higher than building-vulnerability-dashboard-with-defectdojo; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| building-vulnerability-dashboard-with-defectdojo (this skill)by mukul975 | 98 | 33.3k | 25d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.4k | 9d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 83.5k | today | MCP Server |
| LocalAIby mudler | 100 | 49.3k | today | MCP Server |
Frequently asked questions
- How do I install building-vulnerability-dashboard-with-defectdojo?
- Run
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-vulnerability-dashboard-with-defectdojo. The install tabs above show the steps for each supported agent. - Which AI agents does building-vulnerability-dashboard-with-defectdojo work with?
- It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is building-vulnerability-dashboard-with-defectdojo safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is building-vulnerability-dashboard-with-defectdojo still maintained?
- The repository was last updated 25 days ago, so building-vulnerability-dashboard-with-defectdojo is actively maintained.
Skill content
View source on GitHubname: building-vulnerability-dashboard-with-defectdojo description: Deploy DefectDojo as a centralized vulnerability management dashboard that ingests findings from 200+ security scanners, deduplicates results, tracks remediation metrics, and integrates with CI/CD, Jira ticketing, and Slack notifications via its REST API. Use when consolidating scanner output into one dashboard or automating vulnerability ticketing and executive reporting. 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 mitre_attack:
- T1190
- T1203
- T1068
Building Vulnerability Dashboard with DefectDojo
Overview
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.
When to Use
- When deploying or configuring building vulnerability dashboard with defectdojo capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- Docker and Docker Compose
- 4GB+ RAM, 2+ CPU cores, 20GB+ disk
- PostgreSQL 12+ (included in Docker deployment)
- Python 3.9+ for API integration scripts
- Jira instance (optional, for ticket integration)
Deployment
Docker Compose Deployment
# 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
Environment Configuration
# 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
Organizational Structure
Hierarchy
Product Type (Business Unit)
└── Product (Application/Service)
└── Engagement (Assessment/Sprint)
└── Test (Scanner Run)
└── Finding (Individual Vulnerability)
Setup via API
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"]
Scanner Integration
Import Scan Results via API
# 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 ${API_KEY}" \
-F "scan_type=Trivy Scan" \
-F "file=@trivy_results.json" \
-F "product_name=Customer Portal" \
-F "engagement_name=Q1 2024 Security Assessment" \
-F "auto_create_context=true"
Supported Scanner Types (Partial List)
| Scanner | Type String | Format | |---------|------------|--------| | Nessus | Nessus Scan | CSV/XML | | OpenVAS | OpenVAS CSV | CSV | | Qualys | Qualys Scan | XML | | OWASP ZAP | ZAP Scan | XML/JSON | | Burp Suite | Burp XML | XML | | Trivy | Trivy Scan | JSON | | Semgrep | Semgrep JSON Report | JSON | | Snyk | Snyk Scan | JSON | | SonarQube | SonarQube Scan | JSON | | Checkov | Checkov Scan | JSON |
CI/CD Integration (GitHub Actions)
# .github/workflows/security-scan.yml
name: Security Scan
on: [push]
jobs:
scan:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Run Semgrep
run: |
pip install semgrep
semgrep --config auto --json -o semgrep_results.json .
- name: Upload to DefectDojo
run: |
curl -X POST "${{ 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"
Jira Integration
# Configure Jira integration in DefectDojo settings
jira_config = {
"url": "https://company.atlassian.net",
"username": "jira-bot@company.com",
"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,
}
Metrics and Dashboards
Key Metrics API Queries
# 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()
References
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
