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Curriculum/Cybersecurity/Cloud Security/Cloud Security Tooling and Secrets
40 minIntermediate

Cloud Security Tooling and Secrets

After this lesson, you will be able to: Audit cloud accounts with Prowler and ScoutSuite, scan container images with Trivy, and manage cloud secrets correctly instead of hardcoding them.

Finding misconfigurations by hand does not scale. This lesson covers automated cloud auditing (Prowler, ScoutSuite), container image scanning (Trivy), and proper secrets management in the cloud.

Prerequisites:Cloud Attack Techniques

Automated cloud auditing

Prowler is an open-source tool that runs hundreds of security checks against an AWS (and now multi-cloud) account, mapped to CIS benchmarks and other frameworks, and reports misconfigurations: public buckets, over-broad IAM, disabled logging, and more. ScoutSuite is a multi-cloud auditing tool that produces an HTML report of an account's security posture. Run these regularly; they turn a manual review into a repeatable scan and are exactly what cloud security teams use.

Container image scanning with Trivy

Cloud workloads ship as container images, and those images carry OS packages and dependencies with known vulnerabilities. Trivy scans an image (or filesystem, or IaC) against vulnerability databases and reports CVEs by severity. Wire it into CI so a build fails on high-severity findings, and scan images in your registry. It also detects misconfigurations and secrets, making it a versatile one-stop scanner.

Secrets in the cloud

Never hardcode credentials in code, AMIs, or environment variables baked into images. Use a managed secrets store: AWS Secrets Manager (with rotation) or Parameter Store (SecureString) for AWS, and equivalents on other clouds. Grant access via least-privilege roles so a workload fetches its secret at runtime rather than carrying it. Rotate credentials regularly, and detect leaked cloud keys with GitHub secret scanning (and rotate immediately if one leaks).

Trivy in CI

Fail the build on high/critical image vulnerabilities.

tsx
# .github/workflows/security.yml
- name: Scan image with Trivy
uses: aquasecurity/trivy-action@master
with:
image-ref: myorg/myapp:${{ github.sha }}
severity: HIGH,CRITICAL
exit-code: "1" # fail the build on findings
Quick Check

What is the right place to store a database password used by a cloud workload?

Pick one.

Common mistakes only experienced engineers catch

Running Prowler/ScoutSuite once and never again (posture drifts). Ignoring Trivy findings as 'just the base image.' Hardcoding secrets in images or env files committed to Git. Not rotating credentials. Giving the secrets-store read permission to far more identities than need it. Treating a passing scan as proof of security rather than absence of known issues.

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