Azure OpenAI CVE-2025-53767 SSRF Privilege Escalation: Brief Summary and Technical Review

This post provides a brief summary of CVE-2025-53767, a critical SSRF-based elevation of privilege vulnerability in Azure OpenAI services. Includes technical details, affected versions, and vendor security history when available.
CVE Analysis

7 min read

ZeroPath CVE Analysis

ZeroPath CVE Analysis

2025-08-07

Azure OpenAI CVE-2025-53767 SSRF Privilege Escalation: Brief Summary and Technical Review
Experimental AI-Generated Content

This CVE analysis is an experimental publication that is completely AI-generated. The content may contain errors or inaccuracies and is subject to change as more information becomes available. We are continuously refining our process.

If you have feedback, questions, or notice any errors, please reach out to us.

[email protected]

Introduction

Attackers have leveraged SSRF flaws in cloud AI platforms to escalate privileges and access sensitive internal resources. The disclosure of CVE-2025-53767 in Azure OpenAI services highlights a critical risk for enterprises relying on Microsoft's generative AI infrastructure for business operations.

Microsoft Azure OpenAI is a widely adopted cloud service that integrates advanced AI models into enterprise applications. Its customer base spans finance, healthcare, and technology sectors, making vulnerabilities in this platform particularly impactful for organizations with large-scale AI deployments.

Technical Information

CVE-2025-53767 is a server-side request forgery (SSRF) vulnerability in Azure OpenAI services, classified under CWE-918. SSRF occurs when an attacker can manipulate the server into making arbitrary requests to internal or external resources, often bypassing network segmentation and security controls. In this case, the vulnerability enables elevation of privilege, allowing an attacker to potentially bypass authentication and authorization mechanisms within the Azure OpenAI environment.

The root cause is insufficient validation of user-supplied input that is used to construct server-side requests. This could allow crafted input to direct requests to sensitive internal endpoints, such as the Azure Instance Metadata Service, which may expose tokens or credentials used for privilege escalation. No public code snippets or detailed exploitation flows have been disclosed for this vulnerability. The issue is notable for its potential to grant attackers elevated access to AI models, datasets, and administrative interfaces within Azure OpenAI deployments.

Affected Systems and Versions

  • Product: Microsoft Azure OpenAI services
  • Specific affected versions and configurations have not been disclosed as of the publication date.

Vendor Security History

Microsoft has previously addressed SSRF and privilege escalation vulnerabilities in Azure services, including Azure Machine Learning and other cloud offerings. The company typically issues advisories and patches in response to such findings, though some incidents have required multiple rounds of fixes. Security maturity is high, but the complexity of Azure's cloud environment has led to recurring SSRF-related issues.

References

Detect & fix
what others miss