Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
GitLab provides an integrated DevSecOps platform that embeds security testing directly into the CI/CD pipeline. By leveraging GitLab's built-in security scanners---SAST, DAST, container scanning, dependency scanning, secret detection, and license compliance---teams can shift security left, catching vulnerabilities during development rather than post-deployment. GitLab Duo AI assists with false positive detection for SAST vulnerabilities, helping security teams focus on genuine issues.
.gitlab-ci.yml pipeline configuration familiaritySAST analyzes source code for vulnerabilities before compilation. GitLab supports 14+ languages using analyzers such as Semgrep, SpotBugs, Gosec, Bandit, and NodeJsScan. The simplest inclusion uses GitLab's managed templates.
DAST tests running applications by simulating attack payloads against HTTP endpoints. It detects XSS, SQLi, CSRF, and other runtime vulnerabilities that static analysis cannot find. DAST requires a deployed, accessible target URL.
Uses Trivy to scan Docker images for known CVEs in OS packages and application dependencies. Runs after the Docker build stage to gate images before they reach a registry.
Inspects dependency manifests (package.json, requirements.txt, pom.xml, Gemfile.lock) for known vulnerable versions. Operates at the source code level, complementing container scanning.
Scans commits for accidentally committed credentials, API keys, tokens, and private keys using pattern matching and entropy analysis. Runs on every commit to prevent secrets from reaching the repository.
# .gitlab-ci.yml
stages:
- build
- test
- security
- deploy-staging
- dast
- deploy-production
variables:
DOCKER_IMAGE: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHORT_SHA
SECURE_LOG_LEVEL: "info"
# Include GitLab managed security templates
include:
- template: Security/SAST.gitlab-ci.yml
- template: Security/Secret-Detection.gitlab-ci.yml
- template: Security/Dependency-Scanning.gitlab-ci.yml
- template: Security/Container-Scanning.gitlab-ci.yml
- template: DAST.gitlab-ci.yml
- template: Security/License-Scanning.gitlab-ci.yml
build:
stage: build
image: docker:24.0
services:
- docker:24.0-dind
variables:
DOCKER_TLS_CERTDIR: "/certs"
script:
- docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
- docker build -t $DOCKER_IMAGE .
- docker push $DOCKER_IMAGE
rules:
- if: $CI_COMMIT_BRANCH
unit-tests:
stage: test
image: $DOCKER_IMAGE
script:
- npm ci
- npm run test:coverage
coverage: '/Lines\s*:\s*(\d+\.?\d*)%/'
artifacts:
reports:
junit: junit-report.xml
coverage_report:
coverage_format: cobertura
path: coverage/cobertura-coverage.xml
# Override SAST to run in security stage
sast:
stage: security
variables:
SAST_EXCLUDED_PATHS: "spec,test,tests,tmp,node_modules"
SEARCH_MAX_DEPTH: 10
# Override container scanning
container_scanning:
stage: security
variables:
CS_IMAGE: $DOCKER_IMAGE
CS_SEVERITY_THRESHOLD: "HIGH"
# Override dependency scanning
dependency_scanning:
stage: security
# Override secret detection
secret_detection:
stage: security
# License compliance scanning
license_scanning:
stage: security
deploy-staging:
stage: deploy-staging
image: bitnami/kubectl:latest
script:
- kubectl set image deployment/app app=$DOCKER_IMAGE -n staging
- kubectl rollout status deployment/app -n staging --timeout=300s
environment:
name: staging
url: https://staging.example.com
rules:
- if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
# DAST runs against deployed staging
dast:
stage: dast
variables:
DAST_WEBSITE: https://staging.example.com
DAST_FULL_SCAN_ENABLED: "true"
DAST_BROWSER_SCAN: "true"
needs:
- deploy-staging
rules:
- if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
deploy-production:
stage: deploy-production
image: bitnami/kubectl:latest
script:
- kubectl set image deployment/app app=$DOCKER_IMAGE -n production
- kubectl rollout status deployment/app -n production --timeout=300s
environment:
name: production
url: https://app.example.com
when: manual
rules:
- if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH
Configure scan execution policies to enforce mandatory security scans:
Create .gitlab/sast-ruleset.toml to customize analyzer behavior:
[semgrep]
[[semgrep.ruleset]]
dirs = ["src"]
[[semgrep.passthrough]]
type = "url"
target = "/sgrep-rules/custom-rules.yml"
value = "https://semgrep.dev/p/owasp-top-ten"
[[semgrep.passthrough]]
type = "url"
target = "/sgrep-rules/java-rules.yml"
value = "https://semgrep.dev/p/java"
GitLab consolidates all scanner findings into a single Vulnerability Report accessible at Security & Compliance > Vulnerability Report. Each vulnerability includes:
Every merge request displays a security scanning widget showing:
SAST_INCREMENTAL: "true"allow_failure: false on critical scanners to enforce quality gates| Metric | Description | Target |
|---|---|---|
| Pipeline security coverage | Percentage of projects with all scanners enabled | > 95% |
| Critical vulnerability MTTR | Time from detection to resolution for critical findings | < 48 hours |
| False positive rate | Percentage of dismissed-as-false-positive findings | < 15% |
| Secret detection block rate | Percentage of secret commits blocked by push rules | > 99% |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。