CVE-2026-9100 Overview
CVE-2026-9100 affects the MongoDB C Driver's legacy GridFS application programming interface (API). The driver accepts malformed file metadata from the database without performing adequate validation. Applications that read GridFS files through the legacy API can crash from a division-by-zero condition or silently leak process memory through an out-of-bounds read.
The weakness is categorized under [CWE-1285] (Improper Validation of Specified Index, Position, or Offset in Input). An authenticated attacker who can write crafted documents into a GridFS collection can trigger the unsafe parsing path in any downstream consumer using the legacy API.
Critical Impact
Crafted GridFS metadata can crash consuming applications or expose sensitive process memory contents to attackers with write access to the GridFS collection.
Affected Products
- MongoDB C Driver — legacy GridFS API
- Applications linking against the MongoDB C Driver and using the legacy GridFS read path
- Downstream language bindings that wrap the legacy C Driver GridFS interface
Discovery Timeline
- 2026-05-20 - CVE-2026-9100 published to the National Vulnerability Database (NVD)
- 2026-05-20 - Last updated in NVD database
Technical Details for CVE-2026-9100
Vulnerability Analysis
GridFS is the MongoDB convention for storing files larger than the BSON document size limit. Files are split into chunks and tracked through a metadata document in the fs.files collection. The legacy GridFS API in the MongoDB C Driver reads this metadata to reconstruct files for consumers.
The driver trusts metadata field values without enforcing structural invariants. Crafted metadata can specify zero, negative, or out-of-range values for fields that the driver uses in arithmetic and indexing operations. This produces two distinct failure modes in the same code path.
The first failure mode is a division-by-zero crash that terminates the consuming process, yielding a denial-of-service condition. The second is an out-of-bounds read that returns adjacent process memory to the caller. Because the read is silent, leaked bytes may flow into application responses, logs, or downstream files without any error signal.
Root Cause
The root cause is improper validation of database-supplied input. The legacy GridFS code path treats values pulled from fs.files as trustworthy. It does not bound-check chunk size, length, or offset fields before using them in division or buffer indexing. See the upstream tracker entry for the maintainer's diagnosis at MongoDB Issue Tracker CDRIVER-6281.
Attack Vector
Exploitation requires write access to a GridFS collection that a target application later reads through the legacy API. An attacker with low-privilege database credentials inserts a file document with malformed metadata fields. When a consuming application opens the file, the driver dereferences the malformed values during chunk computation and either crashes or returns out-of-bounds memory contents.
The attack vector is network-reachable because GridFS collections are typically accessed across application and database tiers. No user interaction is required on the victim application. The attack does not yield code execution but can be chained with information disclosure to recover secrets resident in process memory.
No verified public proof-of-concept code is available. Technical reproduction details are tracked in CDRIVER-6281.
Detection Methods for CVE-2026-9100
Indicators of Compromise
- Unexpected crashes or SIGFPE signals in processes that read GridFS data through the MongoDB C Driver legacy API
- Insertions into fs.files containing chunk size, length, or offset fields with zero, negative, or implausibly large values
- Anomalous read patterns from low-privilege accounts that write GridFS metadata followed by high-privilege consumers reading it
Detection Strategies
- Audit fs.files documents for schema conformance, flagging records where chunkSize, length, or related numeric fields fall outside expected ranges
- Monitor application logs and process supervisors for repeated abnormal terminations correlated with GridFS read operations
- Inspect outbound application responses for binary artifacts that exceed the declared file length, which can indicate out-of-bounds memory exposure
Monitoring Recommendations
- Enable MongoDB auditing for write operations against GridFS collections and forward events to a centralized analytics platform
- Track the version of the MongoDB C Driver linked into each production binary and alert when versions predate the CDRIVER-6281 fix
- Correlate database write events with subsequent application crashes to identify suspect actors writing malformed metadata
How to Mitigate CVE-2026-9100
Immediate Actions Required
- Inventory all applications linking against the MongoDB C Driver and identify those using the legacy GridFS API
- Restrict write permissions on GridFS collections to trusted service accounts only
- Validate existing fs.files documents against expected schema constraints and remove or quarantine malformed records
Patch Information
Monitor MongoDB Issue Tracker CDRIVER-6281 for the fixed driver release. Rebuild and redeploy applications against the patched version once it is available. Confirm that language bindings that wrap the C Driver have picked up the updated dependency.
Workarounds
- Migrate consuming applications from the legacy GridFS API to the modern GridFS bucket API, which does not share the unvalidated parsing path
- Add an application-layer validator that rejects fs.files documents whose numeric fields fall outside acceptable ranges before invoking driver read functions
- Apply least-privilege role definitions in MongoDB so that only vetted writers can create GridFS metadata
# Example: restrict GridFS write access in MongoDB
use admin
db.createRole({
role: "gridfsReadOnly",
privileges: [
{ resource: { db: "appdb", collection: "fs.files" }, actions: ["find"] },
{ resource: { db: "appdb", collection: "fs.chunks" }, actions: ["find"] }
],
roles: []
})
db.grantRolesToUser("app_reader", ["gridfsReadOnly"])
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


