CVE-2026-88027 in Laravel
Summary
by MITRE • 09/10/2026
Improper neutralization of special elements in data query logic in the embedded-document relation handling of the MongoDB integration for Laravel can cause a caller-supplied embedded record identifier to be interpreted as a query condition rather than as a literal identifier. An authenticated user who can influence such an identifier may delete all embedded documents in a targeted record or overwrite an embedded document other than the intended target.
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Analysis
by VulDB Data Team • 09/10/2026
The vulnerability described constitutes a critical injection flaw within the MongoDB integration layer for Laravel applications, specifically affecting how embedded-document relations are processed. This issue stems from improper neutralization of special elements within data query logic, which allows attacker-supplied input to alter the interpretation of database commands. In standard secure coding practices, user-provided identifiers should be treated as literal values that identify specific records or fields without influencing the structure or conditions of the underlying query. However, in this flawed implementation, an embedded record identifier provided by a caller is not properly sanitized before being incorporated into the MongoDB query construction process. Consequently, if the input contains special characters or operators recognized by the database engine, such as logical operators or comparison symbols, these elements are interpreted as part of the query condition rather than as static data values. This misinterpretation represents a classic injection vulnerability where untrusted data is executed as code within the context of a database operation.
From a technical perspective, this flaw aligns with CWE-94 Improper Control of Generation of Code (Code Injection) and more specifically CWE-610 Externally Controlled Reference to a Resource in Another Domain when considering the manipulation of internal application state via external input. The root cause lies in the failure to enforce strict type checking or parameterization for embedded document identifiers during relation handling. When an authenticated user interacts with endpoints that manage these relationships, they can inject malicious payloads into the identifier field. Because MongoDB uses a flexible schema and dynamic query structures, it is particularly susceptible to such manipulations if input validation is not rigorously applied at the integration layer before the data reaches the database driver. The attacker exploits this by crafting an embedded record identifier that includes logical operators or other query-modifying syntax, effectively hijacking the intent of the original command issued by the application logic.
The operational impact of this vulnerability is severe and can lead to significant data integrity compromises. An authenticated user who successfully influences such an identifier may delete all embedded documents associated with a targeted parent record, resulting in permanent data loss for those specific entities. Furthermore, the attacker can overwrite an embedded document that was not intended as the target, leading to unauthorized modification of sensitive information stored within nested structures. This capability undermines the confidentiality and integrity guarantees expected from the application's database layer. Since MongoDB often stores complex, semi-structured data where relationships are critical, corrupting or destroying these embedded documents can disrupt downstream business logic, analytics processes, and user-facing features that rely on accurate relational data. The ability to indiscriminately delete records also poses a risk of denial of service for specific application functions dependent on those records.
To mitigate this vulnerability, developers must implement strict input validation and sanitization strategies specifically tailored for MongoDB query construction within Laravel applications. All embedded document identifiers should be validated against expected formats, such as ensuring they match the hexadecimal pattern of valid ObjectIds without allowing additional characters or operators. Parameterized queries or safe helper methods provided by the database driver should be used exclusively to construct relations, avoiding string concatenation that could introduce injection vectors. Additionally, implementing least-privilege principles for application database accounts can limit the blast radius if an exploit is attempted, although this does not prevent logical errors in query construction. Regular security audits and static code analysis focused on NoSQL injection patterns are recommended to detect similar flaws across other parts of the integration layer. Monitoring logs for unusual query structures or high volumes of delete operations may also aid in early detection of exploitation attempts.