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AWS IAM ACCESS ANALYSIS & REPORTS

AWS IAM ACCESS ANALYSIS & REPORTS Deep Dive aws #iam #security #devops 📌 This article is part of the AWS IAM Deep Dive series. Part 1: IAM Users Deep Dive Part 2: IAM Groups Deep Dive Part 3: IAM Roles Deep Di…

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AWS IAM ACCESS ANALYSIS & REPORTS Deep Dive






aws #iam #security #devops



📌 This article is part of the AWS IAM Deep Dive series.











1. What is Access Analysis & Reports in IAM?



AWS IAM Access Analysis & Reports are built-in tools that help you monitor, audit, and understand permissions across your AWS environment.


They help you detect unused, excessive, or risky permissions — ensuring you always follow the principle of least privilege.









2. Key Components






Access Analyzer




  • Scans resource-based policies to identify public or cross-account access.

  • Detects exposure in S3, KMS, IAM roles, and Lambda layers.

  • Automatically monitors and flags new findings.



Example: Detect if an S3 bucket policy accidentally allows "Principal": "*"









Resource Analysis (New)




  • Extends Access Analyzer to perform deep inspection at the resource level.

  • Reveals who can access specific resources and how that access is granted.

  • Ideal for pinpointing permission paths and exposure.



Example: Check who can modify an EC2 security group or delete a Lambda function.









Unused Access




  • Identifies permissions that have not been used within a set period (usually 90 days).

  • Helps you safely remove or restrict policies without affecting workloads.



Example: Remove ec2:DescribeInstances from users who haven’t accessed EC2 in 3 months.









Access Reports




  • Generate detailed reports for users, groups, and roles.

  • View permissions and service last accessed data for better auditing.



Example: Review if a role still needs access to RDS or Lambda.









🔑 Credential Reports



Generate an account-wide CSV showing:




  • Password last used

  • Access key age

  • MFA status

  • Last rotation date



Essential for compliance and governance reviews.



Example: Identify users with no MFA or old access keys.









3. Why It Matters



Access Analysis & Reports help you:




  • Detect over-permissioned users and roles.

  • Identify publicly exposed resources.

  • Enforce compliance (SOC2, ISO, PCI).

  • Simplify audits and maintain governance visibility.









4. Hands-On Guide



🎯 Goal: Detect and Fix Over-Permissive Access






Step 1: Enable Access Analyzer




  1. Go to IAM → Access Analyzer → Create Analyzer



Access Analyzer




  1. Choose your region

  2. Select Organization or Account scope


    IAccount scope


  3. Click Create Analyzer




Create Analyzer




  • AWS now continuously scans your environment for risky access.









Step 2: Review Findings




  • Go to Findings tab

  • Sort by Public access or Cross-account access

  • Review each finding → Resolve or Archive



Tip: Use tags or filters to focus on sensitive resources only.









Step 3: Generate a Credential Report






aws iam generate-credential-report  
aws iam get-credential-report --query 'Content' --output text | base64 --decode > credential-report.csv









Review the CSV for:




  • Users without MFA

  • Expired access keys

  • Root account usage









Step 4: Clean Up Unused Access




  1. Go to IAM → Users → Access Advisor

  2. Remove permissions from inactive or unused services.




  • You’ve just completed a mini IAM audit!









5. Best Practices




  • Review Access Analyzer findings weekly

  • Rotate access keys every 90 days or less

  • Delete inactive users and roles immediately

  • Grant least privilege only

  • Automate credential report checks via Lambda or AWS Config









6. Industry Examples



Enterprise: Uses Access Analyzer org-wide to detect cross-account S3 exposure.


Finance: Monthly credential report audits to maintain PCI compliance.


DevOps: Automated alerts when new public access findings appear.


Startup: Regular cleanup of unused IAM roles post-project delivery.









7. Interview Questions






🟢 Basic




  • What is AWS Access Analyzer?

  • What’s the difference between Access Analyzer and Access Reports?






🟡 Intermediate




  • How do you detect unused IAM permissions?

  • What information does a Credential Report contain?






🔴 Advanced




  • How can you automate IAM auditing using AWS Config or Lambda?

  • How would you secure multi-account Access Analyzer configurations?









🙏 Wrapping Up



Access Analysis & Reports act as your AWS security microscope — revealing what’s open, unused, or unsafe in your IAM setup.


Mastering these tools helps you maintain visibility, control, and compliance across all AWS accounts.









🔑 Key Takeaways




  • Use Access Analyzer to detect risky access.

  • Generate credential reports regularly.

  • Remove unused permissions proactively.

  • Enforce least privilege continuously.






Thanks for reading!


If this helped:


❤️ Leave a like and follow for more AWS/DevOps deep dives


💬 Comment your IAM audit tips or questions


🔗 Share with your team to promote better AWS security hygiene



🚀 Hurray you've completed the IAM Deep Dive Series

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
SOC Incident Playbook: Remote Code Execution (RCE) Defense
title: Detect Exploitation - AWS IAM ACCESS ANALYSIS & REPORTS
id: dc4871db-ee94-40cb-a952-344ae4376ea8
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-24
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-24"
        description = "YARA Signature for "
    strings:
        $str = "AWS IAM ACCESS ANALYSIS & REPO" ascii wide
    condition:
        any of them
}
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