CVE-2026-81030 in Mage AI
Summary
by MITRE • 08/26/2026
Mage AI does not confine the paths accepted by its browser-items API to the project directory. BrowserItemResource in mage_ai/api/resources/BrowserItemResource.py passes a caller-supplied path to the filesystem read and write helpers without calling the containment helper that the sibling FileContentResource and FileResource classes both use, so the resource contains no such call while those two contain several. A user holding the Viewer role, which grants read access within the project and nothing outside it, can therefore read any file the server process can read by supplying an absolute path. The permission model that would otherwise separate roles is not consulted for this route in the default configuration, because the setting that enables it defaults to false. Callers holding the Editor role additionally write through the same unconfined path, though that role is already able to execute code by design, so the boundary crossed by this flaw is the read available to the Viewer role.
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Analysis
by VulDB Data Team • 08/26/2026
The vulnerability in Mage AI represents a critical directory traversal and unauthorized file access issue stemming from an inconsistent implementation of security controls within its API layer. Specifically, the BrowserItemResource class fails to enforce path confinement for user-supplied input when interacting with the filesystem. In secure software architecture, it is standard practice to restrict file operations to a designated base directory to prevent attackers from accessing sensitive system files or other project data outside their authorized scope. However, in this instance, the code passes caller-supplied paths directly to underlying read and write helpers without invoking the containment helper functions that are correctly implemented in sibling classes such as FileContentResource and FileResource. This inconsistency creates a significant security gap where the application logic does not validate or sanitize the file path against the project root directory before performing I/O operations.
From an operational perspective, this flaw allows any authenticated user with the Viewer role to read arbitrary files on the server's filesystem that the process has permission to access. The Viewer role is typically designed to provide limited visibility into project contents without granting write or execution privileges. By supplying absolute paths through the browser-items API endpoint, a malicious actor can bypass these restrictions and exfiltrate sensitive information such as configuration files containing database credentials, private keys, environment variables, or other proprietary code stored outside the intended project directory. This effectively nullifies the principle of least privilege by elevating read access beyond the boundaries defined for low-privilege users.
The severity of this vulnerability is compounded by the default configuration settings of Mage AI. The permission model that would normally enforce role-based separation and path confinement relies on a specific setting that defaults to false in standard deployments. Consequently, even if the code logic were partially secure under strict configurations, the out-of-the-box setup leaves systems exposed because the containment checks are not activated by default. This means that organizations deploying Mage AI without explicitly modifying these security settings remain vulnerable to this path traversal attack immediately upon installation and configuration.
From a classification standpoint, this vulnerability aligns with CWE-22: Improper Limitation of a Pathname to a Restricted Directory, which describes flaws where software does not properly neutralize special elements within file paths that can cause the path to resolve outside of the intended directory. Additionally, in terms of tactical behavior, this exploitation technique corresponds to ATT&CK T1083: File and Directory Discovery, as it enables an attacker to enumerate and access files across the system hierarchy rather than being confined to a specific application sandbox. The ability to read arbitrary files can serve as a stepping stone for further attacks, including credential theft or lateral movement within the network infrastructure hosting the Mage AI instance.
To mitigate this risk, immediate remediation is required at both the code level and configuration management levels. Developers must ensure that all API endpoints handling file paths implement robust path canonicalization and confinement checks similar to those present in FileContentResource and FileResource. This involves resolving the absolute path of the requested file and verifying that it resides within the allowed project directory before any read or write operation is executed. Furthermore, administrators should audit their Mage AI configurations to ensure that security-enhancing settings are explicitly enabled rather than relying on insecure defaults. Regular code reviews focusing on input validation for filesystem operations are essential to prevent similar inconsistencies in other parts of the application logic.