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CVE-2025-53767: CWE-918: Server-Side Request Forgery (SSRF) in Microsoft Azure Open AI

0
Critical
VulnerabilityCVE-2025-53767cvecve-2025-53767cwe-918
Published: Thu Aug 07 2025 (08/07/2025, 21:01:02 UTC)
Source: CVE Database V5
Vendor/Project: Microsoft
Product: Azure Open AI

Description

Azure OpenAI Elevation of Privilege Vulnerability

AI-Powered Analysis

AILast updated: 11/14/2025, 08:19:57 UTC

Technical Analysis

CVE-2025-53767 is a critical Server-Side Request Forgery (SSRF) vulnerability identified in Microsoft Azure Open AI services. SSRF vulnerabilities occur when an attacker can manipulate a server to send unauthorized requests to internal or external systems, potentially bypassing firewall restrictions and accessing sensitive resources. In this case, the vulnerability allows an unauthenticated attacker to craft malicious requests that the Azure Open AI service processes, resulting in elevation of privilege. The attacker can leverage this to access internal endpoints, exfiltrate sensitive data, or perform further attacks within the victim's network. The CVSS 3.1 score of 10.0 reflects the vulnerability's high impact on confidentiality and integrity, with no required privileges or user interaction, and a scope change indicating that the vulnerability affects resources beyond the initially vulnerable component. Although specific affected versions are not listed, the vulnerability applies to Azure Open AI, a cloud-based AI service widely used for natural language processing and AI model deployment. No public exploits have been reported yet, but the critical nature and ease of exploitation make this a high-risk vulnerability. The lack of available patches at the time of publication necessitates immediate defensive measures to reduce exposure.

Potential Impact

For European organizations, this vulnerability poses a significant risk to data confidentiality and system integrity, especially for those leveraging Azure Open AI for AI-driven applications and services. Successful exploitation could lead to unauthorized access to internal networks, sensitive intellectual property, customer data, and potentially critical infrastructure controls. The elevation of privilege aspect means attackers could gain higher access levels than intended, facilitating lateral movement and further compromise. Given the widespread adoption of Microsoft Azure across Europe, including in sectors such as finance, healthcare, and government, the potential impact is broad and severe. Disruption of AI services or data breaches could result in regulatory penalties under GDPR, reputational damage, and operational downtime. The critical severity and no requirement for authentication or user interaction increase the likelihood of exploitation attempts targeting European entities.

Mitigation Recommendations

Until an official patch is released, European organizations should implement the following specific mitigations: 1) Restrict and monitor outbound network traffic from Azure Open AI instances to prevent unauthorized internal or external requests, using network security groups and firewall rules. 2) Employ strict access controls and identity management to limit who can configure or interact with Azure Open AI services. 3) Enable detailed logging and continuous monitoring for unusual request patterns indicative of SSRF exploitation attempts. 4) Use Azure's built-in security features such as Private Link or service endpoints to isolate Azure Open AI traffic from public networks. 5) Conduct internal audits of AI service configurations to identify and remediate any misconfigurations that could facilitate SSRF. 6) Prepare incident response plans specifically addressing SSRF attack scenarios. 7) Stay informed on Microsoft advisories and apply patches immediately upon release. These measures go beyond generic advice by focusing on network-level controls and service-specific configurations relevant to Azure Open AI.

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Technical Details

Data Version
5.1
Assigner Short Name
microsoft
Date Reserved
2025-07-09T13:25:25.500Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 689517f8ad5a09ad00fd1cce

Added to database: 8/7/2025, 9:17:44 PM

Last enriched: 11/14/2025, 8:19:57 AM

Last updated: 12/26/2025, 7:21:53 PM

Views: 105

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