CVE-2026-113671 in Apostrophe AI Helper
Summary
by MITRE • 10/20/2026
ApostropheCMS is an open-source Node.js content management system. From 1.0.0-beta.10 until 1.0.0-beta.13 of the AI helper, an editor with image-generation capability can create a base64-generated image record without a stored provider URL and invoke image acceptance on a deployment using local relative storage with no trusted global base URL. The server resolves the fixed uploads path against a request-controlled Host-derived origin, enabling bounded server-side requests to an attacker-selected host, port, and HTTP origin, but not arbitrary-path retrieval or the stored-provider and absolute-storage configurations. This issue is fixed in AI helper 1.0.0-beta.13.
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Analysis
by VulDB Data Team • 10/20/2026
ApostropheCMS represents a widely utilized open-source content management system built on Node.js, offering robust capabilities for digital asset management and content creation. Within its ecosystem, the AI helper module provides editors with advanced features such as image generation to streamline workflow processes. However, versions of this module ranging from 1.0.0-beta.10 through 1.0.0-beta.13 contain a critical architectural flaw related to how generated images are processed and stored during deployment scenarios that utilize local relative storage configurations. This vulnerability stems from an improper validation mechanism within the image acceptance logic, which allows for the creation of base64-encoded image records without requiring a valid, stored provider URL.
The core technical deficiency lies in the server-side resolution of file paths when handling these generated assets. The application resolves the fixed uploads directory path against a request-controlled Host-derived origin rather than enforcing strict validation against a trusted global base URL or absolute storage configuration. This design choice inadvertently enables bounded server-side requests to attacker-selected hosts, ports, and HTTP origins. While the vulnerability does not permit arbitrary-path retrieval of sensitive system files due to constraints in stored-provider and absolute-storage configurations, it still facilitates unauthorized network interactions initiated by the application itself based on malicious input parameters supplied during the image generation process.
From an operational impact perspective, this flaw allows for Server-Side Request Forgery scenarios where an authenticated attacker can leverage the AI helper feature to force the server to make HTTP requests to external destinations controlled by the adversary. This capability can be exploited to conduct internal network reconnaissance, probe backend services that are not exposed to the public internet, or potentially exfiltrate data if combined with other vulnerabilities in a broader attack chain. The ability to dictate the origin and host of these outbound requests bypasses standard security boundaries designed to prevent servers from acting as proxies for malicious actors, thereby compromising the integrity and confidentiality of the deployment environment.
This vulnerability is categorized under CWE-918 Server-Side Request Forgery (SSRF), specifically reflecting flaws in server-side input validation that allow attackers to manipulate URL resolution mechanisms. In terms of offensive security frameworks, this behavior aligns with MITRE ATT&CK technique T1571 which involves establishing a connection to an external system through the compromised application. The exploitation typically requires authentication as an editor or higher-privileged user within ApostropheCMS who has access to the AI image generation tools, making it a privilege-dependent threat vector rather than a fully remote unauthenticated exploit.
The issue was addressed in version 1.0.0-beta.13 of the AI helper module by implementing stricter validation rules for base64-generated images and ensuring that path resolution does not rely on request-controlled host headers without proper sanitization. Organizations running affected versions must upgrade to the patched release immediately to mitigate this risk. Additionally, administrators should review their deployment configurations to ensure that local relative storage is appropriately secured with web server directives that restrict outbound connections if possible, thereby adding a layer of defense-in-depth against potential SSRF exploitation attempts even after patching.