A security issue exists in MongoDB server's JSON Pointer parser used during $jsonSchema query filter processing. When a find command includes a specially crafted $jsonSchema filter field, the parser processes the input without enforcing adequate limits on iteration count or total allocation size, resulting in significant memory amplification. Under concurrent request load, the cumulative memory consumption can exhaust available heap memory, causing the server's out-of-memory handler to terminate the mongod process and deny service to all connected clients.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 6.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts and availability (service disruption) for affected systems. Impacting 1 product from mongodb organizations running these solutions should prioritize assessment and patching.
Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.
2026-09-08T17:18:33.280
2026-09-16T20:40:15.627
Analyzed
CVSSv3.1: 6.5 (MEDIUM)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | mongodb | mongodb | < 7.0.41 | Yes |
| Application | mongodb | mongodb | < 8.0.30 | Yes |
| Application | mongodb | mongodb | ≤ 8.2.12 | Yes |
| Application | mongodb | mongodb | < 8.3.9 | Yes |
| Application | mongodb | mongodb | 9.0.0 | Yes |
| Application | mongodb | mongodb | 9.0.0 | Yes |
| Application | mongodb | mongodb | 9.1.0 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For mongodb's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.