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mukul975/protegiendo-imágenes-de-registro-de-contenedores

Protege imágenes de registros de contenedores (ECR, ACR, GCR, Docker Hub) escaneándolas con Trivy y Grype, firmándolas con Cosign y Sigstore, configurando controles de acceso al registro y construyendo pipelines CI/CD que bloquean imágenes no escaneadas o sin firmar. Úsalo al establecer controles de seguridad en el registro o al aplicar verificaciones de escaneo/firma antes de la promoción de imágenes.

¿Qué es protegiendo-imágenes-de-registro-de-contenedores?

Esta habilidad proporciona un conjunto completo de herramientas y configuraciones para asegurar imágenes de contenedores almacenadas en registros como Amazon ECR, Azure ACR, Google GCR y Docker Hub. Incluye la integración de herramientas de escaneo de vulnerabilidades como Trivy y Grype, así como la firma de imágenes con Cosign y el ecosistema Sigstore. Además, permite configurar controles de acceso detallados en los registros y automatizar pipelines CI/CD (por ejemplo, con GitHub Actions, GitLab CI o Jenkins) que bloqueen automáticamente cualquier imagen que no haya pasado por un escaneo o que no tenga una firma válida. Es especialmente útil para equipos que buscan implementar políticas de seguridad estrictas en el ciclo de vida de las imágenes, garantizando que solo imágenes verificadas y firmadas sean promovidas a entornos productivos.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/securing-container-registry-images

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Documentación

¿Qué hace protegiendo-imágenes-de-registro-de-contenedores?

Protege imágenes de registros de contenedores (ECR, ACR, GCR, Docker Hub) escaneándolas con Trivy y Grype, firmándolas con Cosign y Sigstore, configurando controles de acceso al registro y construyendo pipelines CI/CD que bloquean imágenes no escaneadas o sin firmar. Úsalo al establecer controles de seguridad en el registro o al aplicar verificaciones de escaneo/firma antes de la promoción de imágenes.

Características

  • Escaneo de vulnerabilidades: Integración con Trivy y Grype para detectar vulnerabilidades en las imágenes.
  • Firma de imágenes: Uso de Cosign y Sigstore para firmar imágenes criptográficamente.
  • Control de acceso: Configuración de políticas de acceso en registros como ECR, ACR y GCR.
  • Pipelines CI/CD: Creación de pipelines que verifican escaneo y firma antes de permitir la promoción de imágenes.

Requisitos

  • Herramientas CLI: trivy, grype, cosign, docker, aws (para ECR), az (para ACR), gcloud (para GCR).
  • Permisos: Acceso de lectura/escritura al registro de contenedores y permisos para firmar imágenes.

Uso

Escaneo con Trivy

trivy image --severity HIGH,CRITICAL --exit-code 1 my-image:latest

Escaneo con Grype

grype my-image:latest --fail-on high

Firma con Cosign

cosign sign --key cosign.key my-registry/my-image:latest

Verificación de firma

cosign verify --key cosign.pub my-registry/my-image:latest

Ejemplo de Pipeline CI/CD (GitHub Actions)

name: Secured Image Pipeline

on:
  push:
    branches: [main]

jobs:
  build-and-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Build Image
        run: docker build -t my-registry/my-image:latest .

      - name: Scan with Trivy
        uses: aquasecurity/trivy-action@master
        with:
          image-ref: 'my-registry/my-image:latest'
          format: 'table'
          exit-code: '1'
          severity: 'HIGH,CRITICAL'

      - name: Sign with Cosign
        run: |
          echo "${{ secrets.COSIGN_PRIVATE_KEY }}" > cosign.key
          cosign sign --key cosign.key my-registry/my-image:latest

      - name: Push Image
        run: docker push my-registry/my-image:latest

Configuración de Acceso

AWS ECR

aws ecr set-repository-policy --repository-name my-repo --policy-document file://policy.json

Azure ACR

az acr update --name myregistry --anonymous-pull-enabled false

GCR

gcloud container images add-iam-policy-binding gcr.io/my-project/my-image --member='user:[email protected]' --role='roles/storage.objectViewer'

Buenas Prácticas

  • No uses imágenes sin escanear en producción.
  • Siempre firma las imágenes después del escaneo.
  • Configura alertas para vulnerabilidades críticas.
  • Revisa periódicamente las políticas de acceso.

Recursos Adicionales

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

abusing-dpapi-for-credential-access

Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket

abusing-shadow-credentials-for-privesc

Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target

achieving-cmmc-level-2-compliance

>-

acquiring-disk-image-with-dd-and-dcfldd

Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.

analyzing-active-directory-acl-abuse

Detect dangerous ACL misconfigurations in Active Directory using ldap3

analyzing-android-malware-with-apktool

Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.

analyzing-api-gateway-access-logs

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect

analyzing-apt-group-with-mitre-navigator

Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups

analyzing-azure-activity-logs-for-threats

Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query

analyzing-bootkit-and-rootkit-samples

Analyzes bootkit and advanced rootkit malware infecting the Master

analyzing-browser-forensics-with-hindsight

Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user

analyzing-campaign-attribution-evidence

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

analyzing-certificate-transparency-for-phishing

Monitor Certificate Transparency logs using crt.sh and Certstream to

analyzing-cloud-storage-access-patterns

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.

analyzing-cobalt-strike-beacon-configuration

Extract and analyze Cobalt Strike beacon configuration from PE files

analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.

analyzing-command-and-control-communication

Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom

analyzing-cyber-kill-chain

Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain

analyzing-disk-image-with-autopsy

Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

analyzing-dns-logs-for-exfiltration

Analyzes DNS query logs to detect data exfiltration via DNS tunneling,

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