cloud-iam-deep

Cloud IAM privilege escalation paths across AWS, Azure, and GCP are identified by enumerating identities, roles, and trust relationships to map chained access routes when credentials like leaked keys or service account JSONs surface.

Cross-account trust analysis in multicloud IAM evaluates STS AssumeRole chains, Azure Managed Identity exposure, and GCP service account trust to identify lateral movement opportunities and unauthenticated identity abuse across cloud boundaries.

Enumerate IAM identities and policies during a red-team engagement by analyzing IAM roles, permissions, and trust relationships using cloud CLI tools like aws iam, az role, and gcloud iam to map potential privilege escalation vectors.

Yes, Azure Managed Identity abuse and GCP service account JSON exploitation are supported escalation patterns that allow red-team operators to chain exposed credentials and identify cross-cloud lateral movement opportunities.

Yes, this approach detects SSRF routes and IMDSv1/v2 token exposure, mapping how leaked Kubernetes SA tokens or instance metadata credentials can be chained to exploit over-broad permissions and escalate privileges across cloud accounts.

Common blind spots when analyzing cloud IAM privilege exposure include cross-cloud trust misconfigurations, unauthenticated identities, and over-broad permissions that enable hidden lateral movement and unauthorized cross-account access chains.