How to Scan AWS Infrastructure for Vulnerabilities Using Pacu and ScoutSuite

Introduction

AWS environments rarely fail in one dramatic moment. They fail quietly through over-permissive IAM policies, exposed resources, weak trust relationships, and missed detection coverage. If your team only runs occasional audits, you’re probably carrying exploitable risk right now.

This guide walks through a practical AWS vulnerability scanning workflow using ScoutSuite for posture visibility and Pacu for adversarial validation. If you want the broader foundation first, start with How to Scan Cloud Infrastructure for Vulnerabilities and the full program strategy in Vulnerability Scanning Guide.

Why Use Pacu and ScoutSuite Together

Running only one tool gives partial truth.

ScoutSuite for broad posture analysis

ScoutSuite identifies high-volume misconfigurations across IAM, networking, storage, and logging controls.

Pacu for exploitation-oriented testing

Pacu helps validate whether risky configurations can be abused for privilege escalation, lateral movement, or sensitive data access.

Combined value

ScoutSuite tells you where risk likely exists. Pacu tells you which risks are operationally dangerous.

Prerequisites Before You Scan

Set this up before running assessments in AWS.

Authorized scope and credentials

Use explicitly approved accounts, scoped audit roles, and short-lived credentials whenever possible.

Controlled testing boundaries

Define what can and cannot be tested in production to avoid disruption and reduce operational surprises.

Ownership mapping

Map findings to actual service owners so remediation doesn’t die in triage.

Step 1: Run ScoutSuite for Baseline Findings

Start with posture-level coverage to quickly surface weak controls.

Prioritize high-impact categories

Focus first on:

• IAM entities with excessive privileges
• Publicly exposed services or data stores
• Missing or weak logging and detection controls
• Network segmentation failures

Convert output into triage-ready groups

Organize findings by impact and exploitability, not by raw tool category.

Step 2: Use Pacu to Validate Real Attack Paths

After posture discovery, validate exploitability on top-risk findings.

Test privilege escalation vectors

Identify whether lower-privileged identities can become high-privileged through policy combinations or role abuse.

Test cross-service pivots

Validate whether access in one AWS service can be leveraged into broader account compromise.

Record blast radius clearly

Document what assets, data, and controls become reachable if the path is exploited.

Step 3: Prioritize Remediation by Business Risk

Not all findings deserve equal urgency.

Risk-based scoring model

Prioritize based on:

• Privilege level exposed
• Sensitivity of reachable data
• Exploitation complexity
• Lateral movement potential
• Detection coverage quality

Assign accountable owners

Every validated issue needs a direct owner, remediation target state, and due date.

Common AWS Vulnerability Patterns This Workflow Catches

IAM over-permissioning

Policies with broad actions/resources that violate least privilege.

Trust policy misconfiguration

Role trust relationships that allow unintended principals or unsafe cross-account assumption.

Public resource exposure

Storage and endpoints exposed beyond intended access boundaries.

Detection and logging blind spots

Insufficient telemetry that delays incident detection and response.

For IAM-heavy investigations, pair this with How to Detect Misconfigured IAM Permissions in Cloud Environments Using Open-Source Tools.

Conclusion

Scanning AWS with ScoutSuite plus Pacu gives you both breadth and depth: posture visibility and exploitability validation. If you want this running continuously without manual bottlenecks, operationalize it with Layer8 Sentinel.