5 Open-Source AWS Security CLI Tools Worth Trying in 2026
Disclosure: I’m the creator of cloud-audit, one of the tools reviewed in this article. I’ve done my best to provide a fair and balanced comparison, but you should know this context.
TL;DR
Prowler leads with 572 checks and 41 compliance frameworks. Trivy covers containers + cloud in a single binary (34k stars). CloudFox enumerates attacker-accessible resources for pentesters. Heimdall maps 85+ IAM privilege escalation paths. cloud-audit correlates findings into 20 attack chains with CLI + Terraform remediation code, scanning in under 60 seconds.
There’s something for everyone - it’s important to choose the right one for your work style.
What are the best open-source AWS security CLI tools?
AWS security scanning splits into two camps: breadth (500+ rules, compliance coverage) and depth (attack chains, remediation code). I tested five CLI tools across both approaches. All data below is verified as of April 2026.
If you want a deeper dive into how Prowler and ScoutSuite stack up against cloud-audit, I wrote a detailed comparison.
1. Prowler - best for compliance audits
Stars: over 13k | Checks: >550 (AWS) | Language: Python
GitHub: prowler-cloud/prowler
Install: pip install prowler
Anyone responsible for AWS environment security (and others) is likely familiar with Prowler. It’s by far the most popular open-source scanner. 572 AWS checks across 84 services and 41 compliance standards (CIS, SOC 2, HIPAA, PCI-DSS, NIST 800-53, and many more). If your auditor asks, “Are you using Prowler?” - that’s a sign that it’s popular.
If you’re looking for an alternative approach to Prowler’s breadth-first scanning, see my Prowler alternative comparison.
Advantages:
- The widest range of compliance among all OSS tools
- Multi-cloud: AWS, Azure, GCP, Kubernetes, and others
- Active development, large community, commercial support
- HTML, CSV, JSON-OCSF, SARIF output
Where are the shortcomings:
- Scan time: 10-30 minutes on a standard account (572 checks take time)
- Attack path detection exists, but requires Prowler App (self-hosted Docker Compose + Neo4j + Cartography) or paid SaaS. The standard Prowler AWS CLI provides only simple results
- Remediation is performed using text hints, not copy-and-paste commands
- 572 findings can be cumbersome - you need to know which ones are relevant
Best for: Compliance-focused teams that need to check the box for CIS/SOC 2/HIPAA/PCI-DSS.
pip install prowler
prowler aws
2. Trivy - best for container + cloud in one tool
Stars: > 34k | AWS Checks: ~350-450 | Language: Go
GitHub: aquasecurity/trivy
Install: brew install trivy
This is an interesting resource. Trivy was initially designed for container vulnerability scanning, but later expanded to include cloud misconfiguration scanning. A key differentiator is the single binary that covers everything - container images, IaC files (Terraform, CloudFormation), Kubernetes, SBOM, licenses, and active AWS accounts.
What it does well:
- A single binary covers containers + IaC + cloud + secrets + SBOM
- Fast, Go-based
- Huge community (34k stars)
- CycloneDX and SPDX output for supply chain
Where it falls short:
- AWS cloud scanning seems secondary to container scanning
- No attack chain detection - no correlation between findings
- Links to documentation pages for fixes, no CLI/Terraform output
- AWS CIS compliance limited to versions 1.2 and 1.4 (not 3.0)
- The March 2026 supply chain attack (trivy’s GitHub Action was compromised for about 12 hours, resolved same day) raised trust issues
Best for: Teams already using Trivy for containers and want a single tool for everything.
trivy aws --region eu-central-1
3. CloudFox - best for penetration testing
Stars: >2300 | Commands: 24 AWS enumeration modules | Language: Go
GitHub: BishopFox/cloudfox
Install: brew install cloudfox
Here we’re dealing with a slightly different type of tool. This isn’t a typical scanner, it’s a tool for cloud penetration testers. It’s a reconnaissance tool that enumerates what an attacker with given credentials can actually do - which roles to assume, which secrets to read, which instances to reach.
What it excels at:
- An attacker’s perspective, not a defender’s checklist
- Enumeration across accounts and services
- Generates “loot files” - ready-to-use commands that an attacker could run
- Good for red teams/penetration
Where it falls short:
- No checks, no rules, no findings - just raw enumeration data
- No suggestions for remediation or fixes
- No compliance framework
- No HTML/PDF reports - just table and CSV output
- Requires manual analysis to connect facts to attack paths
Best for: Penetration testers and red teams assessing what can actually be accessed with permissions.
cloudfox aws --profile target-account all-checks
4. Heimdall - best for IAM privilege escalation
Stars: >140 | Patterns: >50 IAM escalations, >85 attack chains | Language: Python
GitHub: DenizParlak/heimdall
Install: from source (pip install -e .)
Heimdall primarily focuses on IAM privilege escalation. It checks whether a user with limited privileges could accidentally become an administrator. It maps trust relationships between IAM roles, policies, and services to find multi-hop escalation paths (A assumes B, B has a PassRole to C, C is an administrator). For more on IAM privilege escalation debugging, see my article on debugging IAM with multi-model AI.
What it does well:
- Focuses on a difficult problem (privilege escalation) that most scanners miss
- Over 85 attack chain patterns with MITRE ATT&CK mapping
- Multi-hop detection (not just direct admin access)
- Interactive terminal user interface
- Ability to scan Terraform before deployment
Where it falls short:
- Last commit: December 2025 (appears outdated)
- No pip installation - cloning and installing from source required
- Lack of compliance frameworks (CIS, SOC 2, etc.)
- No remediation commands
- Small community (146 stars, 4 commits)
- AWS only
Best for: IAM-focused security reviews where the question “who can become an admin?” needs to be answered.
git clone https://github.com/DenizParlak/heimdall
cd heimdall && pip install -e .
heimdall scan
5. cloud-audit - best for attack chains with fixes
Stars: >30 | Checks: 80 | Language: Python
GitHub: gebalamariusz/cloud-audit
Install: pip install cloud-audit
Website: haitmg.pl/cloud-audit
I created this tool. I tried to gather everything I needed most for my work. I used to conduct the same security reviews at AWS, but I was missing one tool that would truly streamline my work, hence the idea. I needed a scanner that would show how findings connect to actual attack paths, not just a flat list.
What it does well:
- 20 attack chain rules that correlate findings (e.g., public SG + IMDSv1 + admin role = account takeover path)
- Each finding includes AWS CLI + Terraform remediation code, not just descriptions
- Compliance with AWS CIS v3.0 (62 checks) and SOC 2 Type II (43 criteria) with evidence for each check
- Breach cost estimation per finding and attack chain (sources cited: IBM, Verizon DBIR)
- Scan diff to track drift between runs
- MCP server for AI agent integration (Claude, Cursor)
- Under 60 seconds on a standard account
Where it falls short:
- 80 checks compared to 572 in Prowler - smaller coverage
- AWS only
- Small community (31 stars)
- Newer and less battle-tested
- No multi-cloud
Best for: Teams that need fewer, high-signal findings with attack context and ready-to-paste fixes.
If you want to see it in action, here’s a 4-minute walkthrough on YouTube where I scan a real AWS account and find 3 attack chains.
pip install cloud-audit
cloud-audit scan -R
How do the 5 AWS security CLI tools compare?
| Prowler | Trivy | CloudFox | Heimdall | cloud-audit | |
|---|---|---|---|---|---|
| AWS checks | 572 | ~400 | 24 commands | 50+ patterns | 80 |
| Attack chains | App only | No | No | Yes (85+) | Yes (20) |
| Remediation | Text | Doc links | No | No | CLI + Terraform |
| Compliance | 41 frameworks | CIS 1.2/1.4 | None | MITRE only | CIS v3.0, SOC 2 |
| Multi-cloud | Yes (12+) | Yes | Yes (3) | No | No |
| Scan time | 10-30 min | 2-5 min | 1-3 min | 1-2 min | <60 sec |
| Output | HTML, CSV, SARIF, JSON | Table, SARIF, SPDX | Table, CSV, JSON | SARIF, CSV, JSON | HTML, SARIF, JSON, MD |
| Cost estimation | No | No | No | No | Yes |
Which AWS security scanner should you pick?
For a compliance audit: Prowler. Nothing else comes close on framework coverage.
For a pentest: CloudFox. It thinks like an attacker.
For container + cloud in one pipeline: Trivy. Single binary, single CI step.
For a quick “what can an attacker actually do with my account”: cloud-audit or Heimdall. Depends on whether you want IAM escalation depth (Heimdall) or broader attack chains with fixes (cloud-audit).
There is no reason to pick just one. I run Prowler for compliance evidence and cloud-audit for the attack chain context and fix code. They complement each other.
If you’re looking for a more detailed breakdown of how these tools compare on specific AWS security checks, I covered that in my AWS Security Scanners Compared article. And if you’re setting up security scanning in CI/CD, check out the AWS Security Audit Checklist for a step-by-step approach. For securing your GitHub Actions OIDC pipelines, that’s another common gap I find in audits.
Tools and star counts verified as of April 2026. Check each project’s GitHub for the latest.