CVE-2026-13064: CWE-407: Inefficient Algorithmic Complexity in MongoDB MongoDB Server
Certain query operations involving deeply nested $jsonSchema constructs can trigger disproportionate CPU consumption in affected MongoDB deployments, potentially leading to resource exhaustion. The resulting CPU-bound operation cannot be interrupted through standard administrative controls.
AI Analysis
Technical Summary
This vulnerability (CVE-2026-13064) affects MongoDB Server and arises from inefficient algorithmic complexity in processing queries with deeply nested $jsonSchema constructs. Such queries cause excessive CPU usage disproportionate to the workload, potentially exhausting system resources. The CPU-bound state resulting from exploitation cannot be interrupted through normal administrative means, increasing the risk of denial-of-service conditions. The affected versions explicitly include 8.0, 8.2.0, and 8.3.0. No official remediation or patch is currently documented, and no known exploits in the wild have been reported.
Potential Impact
Exploitation of this vulnerability can cause high CPU consumption leading to resource exhaustion on affected MongoDB deployments. The CPU-bound operations triggered by malicious queries cannot be interrupted by standard administrative controls, potentially resulting in denial-of-service conditions that degrade database availability and performance.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, avoid using deeply nested $jsonSchema constructs in queries or limit query complexity to reduce risk. Monitor MongoDB server performance for unusual CPU usage patterns related to query execution.
CVE-2026-13064: CWE-407: Inefficient Algorithmic Complexity in MongoDB MongoDB Server
Description
Certain query operations involving deeply nested $jsonSchema constructs can trigger disproportionate CPU consumption in affected MongoDB deployments, potentially leading to resource exhaustion. The resulting CPU-bound operation cannot be interrupted through standard administrative controls.
CVSS v4.0
Score 7.1high
Affected software
pkg:github/mongodb/mongoRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability (CVE-2026-13064) affects MongoDB Server and arises from inefficient algorithmic complexity in processing queries with deeply nested $jsonSchema constructs. Such queries cause excessive CPU usage disproportionate to the workload, potentially exhausting system resources. The CPU-bound state resulting from exploitation cannot be interrupted through normal administrative means, increasing the risk of denial-of-service conditions. The affected versions explicitly include 8.0, 8.2.0, and 8.3.0. No official remediation or patch is currently documented, and no known exploits in the wild have been reported.
Potential Impact
Exploitation of this vulnerability can cause high CPU consumption leading to resource exhaustion on affected MongoDB deployments. The CPU-bound operations triggered by malicious queries cannot be interrupted by standard administrative controls, potentially resulting in denial-of-service conditions that degrade database availability and performance.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, avoid using deeply nested $jsonSchema constructs in queries or limit query complexity to reduce risk. Monitor MongoDB server performance for unusual CPU usage patterns related to query execution.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mongodb
- Date Reserved
- 2026-06-23T18:00:07.375Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a61231e9c2644c7f89b2c94
Added to database: 07/22/2026, 20:07:58 UTC
Last enriched: 07/22/2026, 20:24:09 UTC
Last updated: 07/22/2026, 23:34:03 UTC
Views: 3
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