CVE-2026-88024 in Rust Driver
Summary
by MITRE • 09/10/2026
Improper neutralization of special elements in data query logic in the GridFS component of the MongoDB Rust Driver can cause a caller-supplied structured file identifier to be interpreted as a query condition rather than as a literal identifier. An authenticated user who can influence the identifier passed by an affected application may obtain stored file content beyond the intended target or cause all GridFS file chunks in the affected bucket to be removed, rendering stored file content unreadable.
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Analysis
by VulDB Data Team • 09/10/2026
The vulnerability identified involves improper neutralization of special elements within data query logic, specifically affecting the GridFS component of the MongoDB Rust Driver. This flaw represents a classic injection-style issue where user-supplied input is not adequately sanitized before being incorporated into database operations. In this context, the GridFS mechanism, which handles storage and retrieval of large files by splitting them into chunks, relies on structured file identifiers to locate specific documents within the underlying collections. When an application passes a caller-supplied identifier without proper validation or escaping, the driver may inadvertently interpret special characters or structural elements within that input as part of the query syntax rather than as literal string data. This misinterpretation allows an attacker who has authenticated access and can influence the file identifier parameter to manipulate the underlying database queries in unintended ways.
From a technical perspective, this issue aligns with CWE-78 Improper Neutralization of Special Elements used in an OS Command or CWE-94 SQL Injection depending on how the driver translates Rust types into MongoDB query documents. The core failure lies in the lack of strict type enforcement or escaping for identifiers that are expected to be treated as opaque strings but are instead parsed with special attention to their internal structure. By injecting specific sequences, a malicious actor can alter the logical conditions applied during file retrieval or deletion operations. This breaks the fundamental assumption that an identifier provided by the application layer will only match exact records and not trigger broader query matches based on regex-like behavior or operator injection within the BSON document construction process.
The operational impact of this vulnerability is severe, encompassing both confidentiality and integrity violations against stored data. An authenticated user exploiting this flaw can obtain file content beyond the intended target by crafting identifiers that expand the search scope to include unauthorized files. This leads to a direct breach of data privacy and potential exposure of sensitive information stored within the GridFS bucket. Furthermore, the vulnerability poses a significant risk to system integrity through denial-of-service conditions. By manipulating the identifier logic, an attacker can cause all file chunks in the affected GridFS bucket to be removed rather than just those associated with a specific file. This results in the complete loss of stored content for that bucket, rendering data unreadable and potentially requiring complex recovery procedures from backups if available.
In terms of threat modeling, this vulnerability maps to MITRE ATT&CK techniques related to Data Injection or Query Parameter Manipulation, where an adversary leverages input validation failures to execute unauthorized actions against the database layer. The attack vector requires authentication, which limits its scope to internal threats or compromised application accounts rather than unauthenticated external attacks. However, given that many applications grant varying levels of access based on user roles, even authenticated users with limited privileges can cause significant damage if they control inputs passed to vulnerable driver methods.
Mitigation strategies should focus on ensuring strict type safety and input validation within the application layer before passing identifiers to the GridFS components. Developers must verify that file identifiers are strictly alphanumeric or conform to expected UUID formats without allowing special characters that could be interpreted as query operators. Additionally, upgrading to patched versions of the MongoDB Rust Driver is critical if a fix has been released by the maintainers. Implementing parameterized queries where possible and avoiding dynamic construction of filter documents from untrusted input can further reduce the risk of similar injection flaws in other parts of the application stack. Regular security audits focusing on database interaction patterns are recommended to identify and remediate such logic errors proactively.