CVE-2026-59967 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, looks up BookmarkletImport by sequential primary key within the active Space without restricting created_by to the requesting user when an authenticated member of a shared Space submits another member's pending bookmarklet identifier to POST /api/recipe-from-source/. Request processing uses api/recipe-from-source/, BookmarkletImport, filter, delete. The attack works because the endpoint parses and returns the victim's stored URL and captured page content, then unconditionally deletes the victim's pending import. This can disclose authenticated or private captured page content and destroy another Space member's pending import. 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 access control mechanisms, specifically manifesting as an Insecure Direct Object Reference (IDOR). The application functions as a comprehensive tool for managing recipes, meal planning, and shopping lists, often operating within shared spaces where multiple authenticated users collaborate on content. Within this multi-tenant environment, the integrity of user-specific data is paramount to prevent unauthorized access or modification by other members of the same space.
The technical flaw resides in the implementation of the POST /api/recipe-from-source/ endpoint and its interaction with the BookmarkletImport model. When an authenticated member of a shared space submits a request containing another member's pending bookmarklet identifier, the backend logic performs a lookup based solely on sequential primary keys within the active space context. Crucially, the system fails to verify that the created_by field associated with the target import record matches the identity of the requesting user. This oversight allows any authenticated participant in the shared space to reference and manipulate resources belonging to others simply by guessing or enumerating valid identifier values.
The operational impact of this vulnerability is twofold, involving both information disclosure and data integrity compromise. Upon processing a malicious request targeting another user's pending import, the application parses the stored URL and captures page content associated with that bookmarklet. This sensitive private data, which may include personal dietary preferences or proprietary recipe sources, is then returned to the attacker in the response payload. Simultaneously, the system unconditionally deletes the victim's pending import record from the database. Consequently, this results in a denial of service for the targeted user, as their intended workflow is disrupted and their data is permanently lost without authorization.
From a classification perspective, this vulnerability aligns with CWE-284, which describes Improper Access Control, specifically highlighting the lack of ownership verification when accessing objects by identifier. It also maps to MITRE ATT&CK technique T1078, Valid Accounts, as it exploits legitimate authentication credentials within a shared environment to perform unauthorized actions against other users' data. The sequential nature of primary keys further exacerbates the risk by facilitating easy enumeration of valid targets for attackers seeking to exploit this logic flaw.
To mitigate this vulnerability and prevent similar issues in future development cycles, strict object-level authorization checks must be implemented at every point where external identifiers are used to retrieve or modify database records. Developers should ensure that queries explicitly filter resources by both the space identifier and the requesting user's identity, verifying ownership before processing any action such as reading content or deleting records. Upgrading to version 2.6.10 resolves this issue by correcting these access control logic errors. Additionally, implementing comprehensive logging for API endpoints involved in cross-user data manipulation can aid in detecting potential exploitation attempts during security audits.