exploiting-cloud-platforms

To find IAM privilege escalation paths across AWS, Azure, and GCP, you perform hands-on enumeration of weak permissions and simulate post-exploitation scenarios. This validates your cloud security controls against unauthorized access vectors.

Common cloud misconfigurations include exposed S3 and Blob storage, overly permissive IAM roles, vulnerable serverless functions, and metadata service abuse. Identifying these flaws validates exposure to unauthorized access.

Testing for cloud metadata service abuse involves simulating exploitation scenarios during red-team engagements to extract credentials. This validates whether your instances and serverless functions are vulnerable to SSRF-based attacks.

Yes, this approach applies to ongoing cloud posture reviews across AWS, Azure, and GCP. It provides structured reconnaissance and misconfiguration checks to continuously identify weak IAM permissions and validate security controls.

The best way to enumerate cloud services is using structured step-by-step scenario guidance for common environments. This hands-on enumeration uncovers misconfigurations in storage, IAM roles, and serverless functions.

Yes, this method provides practical command examples and scenario guidance for validating vulnerabilities in serverless functions like Lambda and Function Apps. It supports controlled exploitation workflows during red-team engagements.