Confused Deputy Vulnerabilities Persist in Google Cloud and Microsoft Azure, Threatening Admin Access
What Happened — Researchers highlighted that “confused deputy” flaws—where a service unintentionally acts on behalf of an attacker—continue to exist in Google Cloud Platform and Microsoft Azure. These weaknesses can let a malicious actor obtain administrative‑level permissions and bypass the cloud providers’ native access controls.
Why It Matters for Compliance & Audit Readiness
- The scenario maps directly to SOC 2 CC6.1 (Logical Access) and CC7.1 (System Operations) – controls that require documented, continuously‑monitored IAM policies and evidence that privilege‑escalation paths are closed.
- Persistent mis‑trust relationships undermine the “defensible audit trail” auditors expect; without systematic control mapping, organizations struggle to prove due diligence.
- Verisq’s Control Mapping capability can automatically surface these trust‑relationship gaps, generate continuous evidence, and feed it into your SOC 2 audit package.
Who Is Affected — Cloud service providers (Google Cloud, Microsoft Azure) and any of their customers that rely on default IAM configurations, spanning finance, SaaS, and enterprise IT.
Recommended Actions
- Conduct a comprehensive review of IAM role trust relationships and service‑account permissions against the SOC 2 access‑control criteria.
- Implement continuous monitoring of IAM policy changes; capture and retain evidence of each change for audit readiness.
- Apply least‑privilege principles and enforce separation of duties for privileged cloud resources.
Source: Dark Reading – Confused Deputy Flaws Persist in Google Cloud, Microsoft Azure
Technical Notes
- Attack vector: exploitation of improperly scoped service‑account trust relationships (confused deputy).
- No specific CVE disclosed; the issue stems from design‑level permission delegation patterns in GCP IAM and Azure RBAC.
- Potential impact: administrative‑level data access, configuration changes, and lateral movement across cloud workloads.