CVE-2025-53767 Overview
CVE-2025-53767 is a critical elevation of privilege vulnerability affecting Microsoft Azure OpenAI. This Server-Side Request Forgery (SSRF) vulnerability (CWE-918) allows unauthenticated attackers to escalate privileges through network-based attacks without requiring user interaction. The vulnerability's scope extends beyond the vulnerable component, potentially compromising additional cloud resources and services.
Critical Impact
This vulnerability enables attackers to elevate privileges within Azure OpenAI environments, potentially gaining unauthorized access to sensitive AI model configurations, training data, and associated cloud infrastructure. The cross-scope impact means compromised resources may extend beyond the initial attack surface.
Affected Products
- Microsoft Azure OpenAI
Discovery Timeline
- 2025-08-07 - CVE-2025-53767 published to NVD
- 2025-08-14 - Last updated in NVD database
Technical Details for CVE-2025-53767
Vulnerability Analysis
This elevation of privilege vulnerability stems from an SSRF (Server-Side Request Forgery) weakness within Microsoft Azure OpenAI. The flaw allows attackers to manipulate server-side requests, enabling them to reach internal services and resources that should not be externally accessible. The vulnerability requires no authentication or privileges to exploit, and no user interaction is needed, making it highly exploitable in real-world scenarios.
The attack can be initiated remotely over the network with low complexity. The changed scope characteristic indicates that successful exploitation can affect resources beyond the vulnerable component's security authority, potentially cascading into other Azure services and tenant boundaries.
Root Cause
The underlying cause is attributed to CWE-918 (Server-Side Request Forgery), indicating improper validation or restriction of URLs and request destinations within the Azure OpenAI service. The service fails to adequately verify that server-side requests are directed only to intended, authorized endpoints, allowing attackers to craft requests that target internal infrastructure or cross-tenant resources.
Attack Vector
The attack is network-based and can be executed remotely without authentication. An attacker can exploit this vulnerability by:
- Crafting malicious requests to the Azure OpenAI service that contain manipulated URL parameters or request destinations
- Leveraging the SSRF vulnerability to pivot from the Azure OpenAI service to internal cloud infrastructure
- Accessing internal metadata services, adjacent cloud resources, or escalating privileges within the Azure environment
The vulnerability allows for high confidentiality and integrity impact, meaning attackers can read sensitive data and modify system configurations, though availability impact is not directly affected.
Detection Methods for CVE-2025-53767
Indicators of Compromise
- Anomalous outbound requests from Azure OpenAI service instances to unexpected internal IP ranges or metadata endpoints
- Unusual API calls attempting to access internal Azure infrastructure URLs (e.g., 169.254.169.254)
- Unexpected privilege escalations or access token requests within Azure OpenAI tenant environments
- Authentication attempts or resource access from Azure OpenAI services to unrelated Azure subscriptions
Detection Strategies
- Monitor Azure OpenAI API logs for requests containing internal IP addresses, localhost references, or cloud metadata service URLs
- Implement network traffic analysis to identify SSRF patterns such as requests to internal RFC 1918 address spaces
- Configure Azure Monitor and Microsoft Defender for Cloud to alert on unusual request patterns from Azure OpenAI resources
- Review Azure Activity Logs for unexpected privilege changes or cross-resource access originating from OpenAI services
Monitoring Recommendations
- Enable diagnostic logging on all Azure OpenAI resources and forward logs to Azure Sentinel for centralized analysis
- Configure alerts for requests targeting internal Azure infrastructure endpoints from Azure OpenAI services
- Implement network segmentation monitoring to detect lateral movement attempts following potential SSRF exploitation
- Regularly audit Azure OpenAI access patterns and compare against baseline behavior
How to Mitigate CVE-2025-53767
Immediate Actions Required
- Review the Microsoft Security Response Center advisory for the latest patch and mitigation guidance
- Apply any security updates provided by Microsoft for Azure OpenAI services
- Audit Azure OpenAI resource configurations and access controls for potential compromise indicators
- Implement network access restrictions to limit outbound connectivity from Azure OpenAI resources where feasible
Patch Information
Microsoft has published security guidance for this vulnerability. Organizations should consult the Microsoft CVE-2025-53767 Update for official patch details and remediation steps. As this is a cloud-based service, Microsoft may apply server-side fixes automatically; however, customers should verify their deployment configurations align with security best practices.
Workarounds
- Implement Azure Private Link for Azure OpenAI to restrict network exposure and limit SSRF attack surface
- Configure Azure Firewall or Network Security Groups to restrict outbound traffic from Azure OpenAI resources
- Enable Microsoft Defender for Cloud to monitor for exploitation attempts and privilege escalation activities
- Review and restrict API access permissions following the principle of least privilege
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
