CVE-2026-13233 in OpenAI Provider
Summary
by MITRE • 07/11/2026
Server-Side Request Forgery (SSRF) vulnerability in Drupal OpenAI Provider allows Server Side Request Forgery. This issue affects OpenAI Provider versions: from 0.0.0 to 1.1.1, from 1.2.0 to 1.2.2.
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Analysis
by VulDB Data Team • 07/11/2026
Server-Side Request Forgery vulnerabilities represent a critical class of security flaws that enable attackers to manipulate server-side applications into making unintended requests to internal or external systems. In the context of Drupal OpenAI Provider, this vulnerability creates a pathway for malicious actors to exploit the application's interaction with OpenAI services, potentially compromising the entire network infrastructure. The affected versions span across two distinct ranges from 0.0.0 to 1.1.1 and from 1.2.0 to 1.2.2, indicating that multiple release branches contained this security flaw.
The technical implementation of this vulnerability stems from inadequate input validation within the Drupal OpenAI Provider module. When the application processes user-supplied data intended for OpenAI API interactions, it fails to properly sanitize or validate the URLs or endpoints specified in the request parameters. This allows attackers to inject malicious URLs that bypass normal network restrictions and access internal services that should remain protected. The flaw operates at the core of how the module handles external communications, particularly when processing configuration settings or user inputs that determine where API requests are routed.
The operational impact of this SSRF vulnerability extends far beyond simple data exfiltration, as it enables attackers to perform reconnaissance activities against internal networks and potentially escalate privileges within the application environment. An attacker could leverage this flaw to access internal services such as databases, administrative interfaces, or other backend systems that are not directly exposed to the internet. The vulnerability also permits attackers to conduct port scanning activities or attempt to exploit other vulnerabilities present within the internal network infrastructure. This creates a significant risk for organizations using Drupal OpenAI Provider in production environments where network segmentation is not properly enforced.
From a cybersecurity perspective, this vulnerability aligns with CWE-918, which specifically addresses Server-Side Request Forgery in web applications. The flaw demonstrates how poorly validated user inputs can be transformed into dangerous network operations that bypass security controls. The ATT&CK framework categorizes this type of vulnerability under T1071.004 for Application Layer Protocol: DNS and T1566 for Credential Access, as attackers may use SSRF to gather information about internal systems or attempt to access sensitive credentials stored in nearby services. Organizations should immediately implement mitigations including input validation, network segmentation, and outbound traffic filtering to prevent exploitation of this vulnerability.
The remediation strategy requires immediate patching of affected Drupal OpenAI Provider versions to address the input validation gaps that enable this attack vector. Security teams should also implement network-level controls such as firewall rules that restrict outbound connections from the web application server to only known trusted endpoints. Additionally, organizations should consider implementing Web Application Firewalls and monitoring for suspicious outbound requests that may indicate exploitation attempts. The vulnerability serves as a reminder of the critical importance of validating all user inputs and maintaining proper network segmentation to prevent lateral movement within compromised environments.