CVE-2026-59963 in Tandoor Recipes
Summary
by MITRE • 10/16/2026
Tandoor Recipes is an application for managing recipes, planning meals, and building shopping lists. Prior to 2.6.10, recipe utility endpoints retrieve same-Space Recipe objects without invoking the private-recipe owner or sharing permission when an authenticated member of a shared Space supplies another member's private recipe identifier to AI import, file, external-link, or share-link endpoints. Request processing uses api/ai-import/, api/get_recipe_file/, api/get_external_file_link/, api/share-link/, CustomRecipePermission. The attack works because the endpoints read private recipe files, send file bytes to the configured AI provider, or create and disclose external links without object-level authorization, and api/share-link/ can create a public link when Space sharing is enabled. This can expose private recipe files and sensitive uploaded content to another same-Space user and to configured external services. This issue is fixed in version 2.6.10.
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Analysis
by VulDB Data Team • 10/16/2026
The vulnerability identified in Tandoor Recipes prior to version 2.6.10 represents a critical failure in object-level authorization within the application's recipe management system. As an application designed for managing recipes, meal planning, and shopping lists, Tandoor relies heavily on user-specific data isolation, particularly regarding private recipes stored within shared workspaces or spaces. The core technical flaw lies in how specific utility endpoints handle requests involving recipe identifiers provided by authenticated users who are members of the same space but do not own the target recipe objects. When an authenticated member supplies a different member's private recipe identifier to certain API endpoints, the system fails to verify whether the requesting user has explicit permission to access that specific resource. This oversight bypasses the intended security controls designed to restrict access to private content based on ownership or direct sharing permissions.
The affected endpoints include api/ai-import/, api/get_recipe_file/, api/get_external_file_link/, and api/share-link/. These functions are responsible for processing recipe data through external AI providers, retrieving raw file bytes associated with recipes, generating links to external resources, and creating shareable links respectively. The vulnerability arises because these endpoints utilize a permission check mechanism that validates the user's membership in the space but neglects to enforce object-level authorization checks against the specific private recipe being accessed. Consequently, any authenticated member of a shared space can exploit this logic error by supplying the unique identifier of another member's private recipe. This allows the attacker to trigger actions on data they should not have access to, effectively circumventing the privacy boundaries established for individual users within the collaborative environment.
The operational impact of this vulnerability is significant, as it leads to the unauthorized disclosure of sensitive information and potential exposure of proprietary or personal content. By exploiting the flawed permission logic, an attacker can retrieve private recipe files directly from the server's storage. These files may contain not only culinary instructions but also potentially sensitive uploaded images, documents, or other media associated with the recipes. Furthermore, when the AI import functionality is exploited, the contents of these private recipes are transmitted to configured external artificial intelligence providers. This creates a secondary risk where confidential data leaves the organization's controlled environment and enters third-party systems without authorization. Additionally, the exploitation of the share-link endpoint can result in the creation of public links for private recipes if space sharing features are enabled, thereby exposing sensitive content to anyone with access to the generated link, regardless of their authentication status or relationship to the victim user.
This vulnerability aligns closely with CWE-284, which describes Improper Access Control, specifically highlighting failures in authorization checks that allow users to act beyond their intended privileges. It also relates to CWE-601, URL Redirection to Untrusted Site, if the external links generated are manipulated or misused, though the primary issue is unauthorized data access rather than redirection per se. In terms of the MITRE ATT&CK framework, this behavior corresponds to techniques involving Unauthorized Access to Data and potentially Exfiltration Over C2 Channels if the AI provider interaction is viewed as a communication channel for sensitive data exfiltration by an attacker with initial authenticated access. The flaw underscores the importance of implementing strict object-level permissions that validate both user identity and specific resource ownership or sharing status before processing any request involving private assets.
To mitigate this vulnerability, organizations must upgrade to Tandoor Recipes version 2.6.10 or later, where these authorization checks have been corrected. For environments unable to immediately patch, administrators should review the configuration of AI providers and external link services to ensure that sensitive data is not inadvertently exposed through third-party integrations. It is also advisable to audit existing shared spaces for any potential misuse if exploitation occurred prior to remediation. Implementing robust input validation and ensuring that all API endpoints perform comprehensive permission checks against both user roles and specific object ownership will prevent similar access control bypasses in the future, maintaining the integrity and confidentiality of user data within collaborative platforms.