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Agent Skill · 研究检索

defectdojo(defectdojo 搜索)

defectdojo 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

defectdojo 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 44,337。

总安装 921周安装 38GitHub Stars 61下载 301核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:defectdojo(defectdojo 搜索)
来源仓库:https://github.com/julianobarbosa/claude-code-skills
仓库路径:skills/defectdojo
安装命令:
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill defectdojo
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill defectdojo

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

DefectDojo 漏洞管理平台集成,统一纳管 200+ 种安全扫描工具输出。自动去重、分配 SLA 与生成合规报告,对接 JIRA 实现闭环处置。提供 REST API v2 供 Claude Code 调用,支持扫描导入与态势查询。需配置扫描器 webhook 或定期拉取结果以保持数据新鲜度。

defectdojo 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/defectdojo

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/julianobarbosa/claude-code-skills --skill defe…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

defectdojo 怎么安装?

在终端执行 npx skills add https://github.com/julianobarbosa/claude-code-skills --skill defectdojo。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

defectdojo 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

defectdojo 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

defectdojo 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

defectdojo 用的人多吗?

公开数据是累计安装 921 次,近一周安装 38 次,下载 301 次,GitHub 61 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

defectdojo 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
defectdojo

defectdojo 搜索 · 本页

92161接触敏感数据MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

DefectDojo Skill

Overview

DefectDojo is an open-source DevSecOps, Application Security Posture Management (ASPM), and vulnerability management platform. It orchestrates end-to-end security testing, vulnerability tracking, deduplication, remediation, and reporting.

Key Capabilities:

  • Unified vulnerability management across 200+ security tools
  • Automated scan import and deduplication
  • CI/CD pipeline integration
  • Bidirectional JIRA integration
  • Role-based access control
  • SLA tracking and reporting
  • REST API v2 for automation
  • MCP Tools for Claude Code integration

Official Resources:

MCP Tools (Primary Interface)

This skill provides 12 MCP tools for direct DefectDojo API interaction. Use these tools instead of manual API calls.

Read Operations

ToolDescriptionKey Parameters
defectdojo_list_productsList and search productsname_contains, prod_type, limit
defectdojo_get_productGet detailed product infoproduct_id (required)
defectdojo_list_engagementsList engagements with filtersproduct_id, status, engagement_type
defectdojo_list_testsList tests in engagementsengagement_id, test_type
defectdojo_list_findingsPrimary tool - Search findingsseverity, active, product_id, cwe
defectdojo_get_findingGet finding detailsfinding_id (required)
defectdojo_get_statisticsVulnerability statisticsproduct_id, engagement_id
defectdojo_list_endpointsList product endpointsproduct_id, host, protocol
defectdojo_list_test_typesList scanner typesname_contains

Write Operations

ToolDescriptionKey Parameters
defectdojo_create_engagementCreate new engagementproduct_id, name, engagement_type
defectdojo_update_findingUpdate finding statusfinding_id, active, verified, false_p
defectdojo_close_engagementClose engagementengagement_id

Usage Examples

List all critical active findings:

Use defectdojo_list_findings with:
- severity: "Critical"
- active: true

Get vulnerability statistics for a product:

Use defectdojo_get_statistics with:
- product_id: 1

Search for SQL injection findings:

Use defectdojo_list_findings with:
- cwe: 89
- active: true

Mark a finding as false positive:

Use defectdojo_update_finding with:
- finding_id: 123
- false_p: true
- active: false

Create a CI/CD engagement:

Use defectdojo_create_engagement with:
- product_id: 1
- name: "Pipeline Security Scan"
- engagement_type: "CI/CD"

Response Formats

All tools support two output formats via the response_format parameter:

  • markdown (default) - Human-readable formatted output
  • json - Raw JSON for programmatic processing

MCP Server Configuration

The MCP server is configured in .mcp.json:

{
  "mcpServers": {
    "defectdojo": {
      "command": "python",
      "args": [".claude/mcp-servers/defectdojo-mcp/defectdojo_mcp.py"],
      "env": {
        "DEFECTDOJO_URL": "https://defectdojo.dev.cafehyna.com.br",
        "DEFECTDOJO_API_TOKEN": "${DEFECTDOJO_API_TOKEN}"
      }
    }
  }
}

Environment Variables:

  • DEFECTDOJO_URL - Your DefectDojo instance URL
  • DEFECTDOJO_API_TOKEN - API token from /api/key-v2

Data Model (Product Hierarchy)

DefectDojo uses five interconnected data classes to organize security work:

Product Type
    └── Product
        └── Engagement (CI/CD or Interactive)
            └── Test
                └── Finding
                    └── Endpoint

Product Types

The topmost organizational level that categorizes products by business domain, team, or security area. Enables role-based access control at the category level.

Products

Individual applications or systems under security testing. Each product maintains:

  • Its own testing history
  • Deduplication scope (findings deduplicate within products)
  • SLA configuration
  • Team assignments

Engagements

Scheduled testing periods containing one or more tests. Two types:

TypePurposeUse Case
CI/CDAutomated pipeline integrationAutomated scans per build/commit
InteractiveManual testing by engineersPenetration tests, manual reviews

Tests

Individual security scans grouped by tool type. Tests support:

  • Reimporting (add findings to existing test)
  • Environment tagging
  • Version tracking

Findings

Specific vulnerabilities discovered during testing:

SeverityDescription
CriticalImmediate action required
HighHigh priority remediation
MediumStandard priority
LowLow priority
InfoInformational only

Finding States:

  • Active / Inactive
  • Verified / Unverified
  • Duplicate
  • Mitigated
  • False Positive
  • Risk Accepted
  • Out of Scope

Endpoints

References to affected hosts, URLs, or systems. Enables vulnerability tracking by infrastructure component.

API v2 Reference

Note: For most operations, use the MCP Tools above instead of direct API calls. Use direct API calls only for scan imports or operations not covered by MCP tools.

Authentication

Generate API token at: <your-instance>/api/key-v2

# Header format
Authorization: Token <api_key>

Environment Variables:

  • DD_API_TOKENS_ENABLED=False - Disable API tokens entirely
  • DD_API_TOKEN_AUTH_ENDPOINT_ENABLED=False - Disable only token auth endpoint

Core Endpoints

EndpointMethodPurpose
/api/v2/import-scan/POSTInitial scan import
/api/v2/reimport-scan/POSTSubsequent imports (deduplication)
/api/v2/products/GET/POSTManage products
/api/v2/engagements/GET/POSTManage engagements
/api/v2/tests/GET/POSTManage tests
/api/v2/findings/GET/POST/PATCHManage findings
/api/v2/endpoints/GET/POSTManage endpoints
/api/v2/users/GETList users

Import Scan Parameters

curl -X POST "https://defectdojo.example.com/api/v2/import-scan/" \
  -H "Authorization: Token <api-token>" \
  -F "scan_type=<scanner-type>" \
  -F "file=@results.json" \
  -F "engagement=<engagement-id>" \
  -F "minimum_severity=Info" \
  -F "active=true" \
  -F "verified=false" \
  -F "scan_date=2024-01-15"

Key Parameters:

ParameterDescription
scan_typeScanner identifier (e.g., "Trivy Scan", "Semgrep JSON Report")
engagementTarget engagement ID
test_titleCustom test name
minimum_severityFilter threshold (Info, Low, Medium, High, Critical)
activeMark findings as active (boolean)
verifiedMark findings as verified (boolean)
scan_dateOverride scan completion date
do_not_reactivatePrevent reopening closed findings
auto_create_contextAuto-create Product/Engagement if missing

Reimport Scan (Deduplication)

curl -X POST "https://defectdojo.example.com/api/v2/reimport-scan/" \
  -H "Authorization: Token <api-token>" \
  -F "scan_type=Trivy Scan" \
  -F "file=@trivy-results.json" \
  -F "test=<test-id>" \
  -F "do_not_reactivate=true"

The reimport endpoint:

  • Detects new vs. existing findings
  • Updates existing findings
  • Closes findings not in the new scan
  • Can auto-create context when auto_create_context=true

Interactive API Documentation

Access Swagger UI at: <your-instance>/api/v2/oa3/swagger-ui/

CI/CD Integration

Pipeline Integration Pattern

# GitLab CI Example
stages:
  - security-scan
  - upload-results

trivy-scan:
  stage: security-scan
  script:
    - trivy image --format json -o trivy-results.json $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
  artifacts:
    paths:
      - trivy-results.json

upload-to-defectdojo:
  stage: upload-results
  script: |
    curl -X POST "${DEFECTDOJO_URL}/api/v2/reimport-scan/" \
      -H "Authorization: Token ${DEFECTDOJO_API_TOKEN}" \
      -F "scan_type=Trivy Scan" \
      -F "file=@trivy-results.json" \
      -F "product_name=${CI_PROJECT_NAME}" \
      -F "engagement_name=CI/CD-${CI_PIPELINE_ID}" \
      -F "auto_create_context=true" \
      -F "minimum_severity=Low"

Jenkins Integration

Install the DefectDojo Jenkins plugin from: https://plugins.jenkins.io/defectdojo/

Pipeline Configuration:

pipeline {
    agent any
    environment {
        DEFECTDOJO_URL = 'https://defectdojo.example.com'
        DEFECTDOJO_API_KEY = credentials('defectdojo-api-key')
    }
    stages {
        stage('Security Scan') {
            steps {
                sh 'trivy image --format json -o trivy.json myapp:latest'
            }
        }
        stage('Upload to DefectDojo') {
            steps {
                defectDojoPublisher(
                    artifact: 'trivy.json',
                    productName: 'MyApp',
                    scanType: 'Trivy Scan',
                    engagementName: "Build-${BUILD_NUMBER}"
                )
            }
        }
    }
}

GitHub Actions Integration

name: Security Scan
on: [push]

jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Run Trivy
        uses: aquasecurity/trivy-action@master
        with:
          scan-type: 'fs'
          format: 'json'
          output: 'trivy-results.json'

      - name: Upload to DefectDojo
        run: |
          curl -X POST "${{ secrets.DEFECTDOJO_URL }}/api/v2/reimport-scan/" \
            -H "Authorization: Token ${{ secrets.DEFECTDOJO_TOKEN }}" \
            -F "scan_type=Trivy Scan" \
            -F "file=@trivy-results.json" \
            -F "product_name=${{ github.repository }}" \
            -F "engagement_name=GitHub-${{ github.run_id }}" \
            -F "auto_create_context=true"

Python API Examples

Tip: For Claude Code interactions, use the MCP tools (defectdojo_list_findings, etc.) instead of writing Python code. The examples below are for CI/CD scripts and external integrations.

Basic API Connection

import requests

class DefectDojoAPI:
    def __init__(self, url, api_token):
        self.url = url.rstrip('/')
        self.headers = {
            'Authorization': f'Token {api_token}',
            'Accept': 'application/json'
        }

    def get_products(self):
        response = requests.get(
            f'{self.url}/api/v2/products/',
            headers=self.headers
        )
        response.raise_for_status()
        return response.json()

    def import_scan(self, engagement_id, scan_type, file_path, **kwargs):
        with open(file_path, 'rb') as f:
            data = {
                'engagement': engagement_id,
                'scan_type': scan_type,
                'minimum_severity': kwargs.get('minimum_severity', 'Info'),
                'active': kwargs.get('active', True),
                'verified': kwargs.get('verified', False),
            }
            files = {'file': f}
            response = requests.post(
                f'{self.url}/api/v2/import-scan/',
                headers={'Authorization': self.headers['Authorization']},
                data=data,
                files=files
            )
        response.raise_for_status()
        return response.json()

# Usage
api = DefectDojoAPI('https://defectdojo.example.com', 'your-api-token')
products = api.get_products()

Create Product and Engagement

def create_product(api, name, prod_type_id, description=''):
    response = requests.post(
        f'{api.url}/api/v2/products/',
        headers=api.headers,
        json={
            'name': name,
            'prod_type': prod_type_id,
            'description': description
        }
    )
    response.raise_for_status()
    return response.json()

def create_engagement(api, product_id, name, target_start, target_end,
                      engagement_type='CI/CD'):
    response = requests.post(
        f'{api.url}/api/v2/engagements/',
        headers=api.headers,
        json={
            'name': name,
            'product': product_id,
            'target_start': target_start,
            'target_end': target_end,
            'engagement_type': engagement_type,
            'status': 'In Progress'
        }
    )
    response.raise_for_status()
    return response.json()

Query Findings

def get_findings(api, product_id=None, severity=None, active=True):
    params = {'active': active}
    if product_id:
        params['test__engagement__product'] = product_id
    if severity:
        params['severity'] = severity

    response = requests.get(
        f'{api.url}/api/v2/findings/',
        headers=api.headers,
        params=params
    )
    response.raise_for_status()
    return response.json()

# Get all critical findings
critical = get_findings(api, severity='Critical')

Supported Security Tools (200+)

SAST / Code Analysis

  • Bandit, Checkmarx, Fortify, SonarQube, Semgrep
  • CodeQL, Horusec, Brakeman, SpotBugs

Dependency / SCA

  • Snyk, OWASP Dependency-Check, Dependency-Track
  • npm Audit, pip-audit, Trivy, Safety

DAST / Web Scanning

  • Burp Suite, OWASP ZAP, Nikto, Nessus
  • Qualys, OpenVAS, Acunetix, AppScan

Container / Infrastructure

  • Trivy, Aqua, Anchore, Wiz, NeuVector
  • kube-bench, Kubescape, Prisma Cloud

Secrets Detection

  • Gitleaks, Trufflehog, Detect-secrets
  • GitHub Secret Scanning

Cloud Security

  • AWS Inspector, AWS Prowler, ScoutSuite
  • Azure Security Center, Checkov

IaC Scanning

  • Checkov, Terrascan, KICS, TFSec, Dockle

Full list: https://docs.defectdojo.com/supported_tools/

JIRA Integration

Configuration

  1. Enable in System Settings: Configuration > System Settings > Enable JIRA Integration
  2. Add JIRA Instance: Enterprise Settings > JIRA Instances > + New JIRA Instance
  3. Configure Webhook (bidirectional sync):

- Create webhook in JIRA pointing to: https://<defectdojo>/jira/webhook/<webhook-secret> - Enable in DefectDojo: "Enable JIRA web hook"

Environment Variables

extraEnv:
  - name: DD_JIRA_URL
    value: "https://your-jira.atlassian.net"
  - name: DD_JIRA_MAX_RETRIES
    value: "3"

Features

  • Push findings to JIRA as issues
  • Bidirectional comment sync
  • Auto-close findings when JIRA issues close
  • SLA notifications as JIRA comments

Project File Locations

File TypePath
ApplicationSetinfra-team/applicationset/defectdojo.yaml
Helm Valuesargo-cd-helm-values/kube-addons/defectdojo/<cluster>/values.yaml
SecretProviderClassargo-cd-helm-values/kube-addons/defectdojo/<cluster>/secretproviderclass.yaml

Environment Configuration

ClusterKey VaultAzure AD Tenant ID
cafehyna-devkv-cafehyna-dev-hlg3f7a3df4-f85b-4ca8-98d0-08b1034e6567

Azure AD App Registration

SettingValue
Application (Client) ID79ada8c7-4270-41e8-9ea0-1e1e62afff3d
Tenant ID3f7a3df4-f85b-4ca8-98d0-08b1034e6567
Redirect URIhttps://defectdojo.dev.cafehyna.com.br/complete/azuread-tenant-oauth2/

Azure AD SSO Configuration

Required Environment Variables

extraEnv:
  # Enable Azure AD OAuth2
  - name: DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_ENABLED
    value: "True"
  # Application (Client) ID
  - name: DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_KEY
    value: "<client-id>"
  # Directory (Tenant) ID
  - name: DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_TENANT_ID
    value: "<tenant-id>"
  # Client Secret (from Key Vault)
  - name: DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_SECRET
    valueFrom:
      secretKeyRef:
        name: defectdojo
        key: DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_SECRET

Group Synchronization

extraEnv:
  # Sync groups from Azure AD token
  - name: DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_GET_GROUPS
    value: "True"
  # Remove users from groups when removed in Azure AD
  - name: DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_CLEANUP_GROUPS
    value: "True"
  # Filter to only sync DefectDojo groups
  - name: DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_GROUPS_FILTER
    value: "^G-Usuarios-DefectDojo-.*"

Required Azure AD Permissions (Application type, Admin consent required):

  • Group.Read.All
  • GroupMember.Read.All
  • User.Read.All

For complete Azure AD SSO details, see references/azure-ad-sso.md.

DefectDojo Roles

RolePermissions
SuperuserFull system access, manage users, system settings
OwnerDelete products, designate other owners
MaintainerEdit products, add members, delete findings
WriterAdd/edit engagements, tests, findings
ReaderView-only, add comments
API ImporterLimited API access for CI/CD pipelines

Azure AD Groups for Role Mapping

Azure AD GroupDefectDojo Role
G-Usuarios-DefectDojo-SuperuserSuperuser
G-Usuarios-DefectDojo-OwnerOwner
G-Usuarios-DefectDojo-MaintainerMaintainer
G-Usuarios-DefectDojo-WriterWriter
G-Usuarios-DefectDojo-ReaderReader

Helm Chart Quick Reference

Key Values

# Host configuration
host: defectdojo.dev.cafehyna.com.br
siteUrl: https://defectdojo.dev.cafehyna.com.br

# Secrets (use CSI driver)
createSecret: false
disableHooks: true

# Django
django:
  replicas: 1
  ingress:
    enabled: true
    activateTLS: true
    className: nginx

# Celery (keep beat at 1 replica)
celery:
  beat:
    enabled: true
    replicas: 1
  worker:
    enabled: true
    replicas: 1

# Database
postgresql:
  enabled: true

# Cache
redis:
  enabled: true

For complete Helm values reference, see references/helm-values.md.

Kubernetes Deployment

Basic Helm Install

git clone https://github.com/DefectDojo/django-DefectDojo
cd django-DefectDojo

helm install defectdojo ./helm/defectdojo \
  -n defectdojo --create-namespace \
  --set django.ingress.enabled=true \
  --set django.ingress.activateTLS=false \
  --set createSecret=true \
  --set createRabbitMqSecret=true \
  --set createPostgresqlSecret=true

Access DefectDojo

kubectl port-forward --namespace=defectdojo service/defectdojo-django 8080:80

Secrets Management

Secrets are managed via Azure Key Vault CSI Driver:

Key Vault SecretK8s Secret KeyPurpose
defectdojo-admin-passwordDD_ADMIN_PASSWORDAdmin user password
defectdojo-secret-keyDD_SECRET_KEYDjango secret key
defectdojo-credential-aes-keyDD_CREDENTIAL_AES_256_KEYCredential encryption
defectdojo-azuread-client-secretDD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_SECRETAzure AD client secret

Common Troubleshooting

User Not in Groups After SSO Login

Symptoms: User logged in via Azure AD but shows "No group members found"

Solutions:

  1. Verify DD_SOCIAL_AUTH_AZUREAD_TENANT_OAUTH2_GET_GROUPS=True
  2. Check Azure AD API permissions (Group.Read.All with admin consent)
  3. Verify Azure AD token includes group claim (not role claims)
  4. User must log out and log back in to sync groups
  5. Create matching groups in DefectDojo UI

HTTPS Redirect URI Mismatch (ADSTS50011)

Error: "The redirect URI specified in the request does not match"

Solution: Ensure these are set:

- name: DD_SESSION_COOKIE_SECURE
  value: "True"
- name: DD_CSRF_COOKIE_SECURE
  value: "True"
- name: DD_SECURE_PROXY_SSL_HEADER
  value: "True"

ERR_TOO_MANY_REDIRECTS

Cause: DD_SECURE_SSL_REDIRECT=True with TLS-terminating proxy

Solution: Set DD_SECURE_SSL_REDIRECT=False when behind NGINX Ingress

Emergency Login Access

If SSO breaks, access standard login form:

https://defectdojo.dev.cafehyna.com.br/login?force_login_form

For complete troubleshooting guide, see references/troubleshooting.md.

Useful Commands

Check Pod Status

KUBECONFIG=~/.kube/aks-rg-hypera-cafehyna-dev-config kubectl get pods -n defectdojo

View Logs

KUBECONFIG=~/.kube/aks-rg-hypera-cafehyna-dev-config kubectl logs -n defectdojo -l app.kubernetes.io/name=defectdojo -c uwsgi

Restart Deployment

KUBECONFIG=~/.kube/aks-rg-hypera-cafehyna-dev-config kubectl rollout restart deployment/defectdojo-django -n defectdojo

Additional References

MCP Server

Skill References

External

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