CVE-2026-93761: CWE-1333: Inefficient Regular Expression Complexity in MongoDB Inc. Mongoid
An inefficient regular expression complexity issue in the in-memory query evaluation component of the Mongoid library may allow an unauthenticated party to cause excessive processing within an embedding application process. Applications that place user-supplied text into a pattern-matching query condition on an embedded association may become unresponsive.
AI Analysis
Technical Summary
This vulnerability arises from inefficient handling of regular expressions within Mongoid's in-memory query evaluation. Specifically, when user input is embedded in pattern-matching query conditions on associations, the complexity of the regular expression can cause excessive CPU consumption. This can lead to denial of service by making the application process unresponsive. The vulnerability affects multiple versions of Mongoid from 7.2.0 through 9.1.0 as explicitly listed. There is no indication of known exploits in the wild or cloud service impact.
Potential Impact
An unauthenticated attacker can exploit this vulnerability to cause excessive processing load on the affected application, potentially leading to denial of service by making the application unresponsive. This impacts availability but does not indicate confidentiality or integrity compromise.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. No official fix or patch links are provided in the available data. Users should monitor MongoDB Inc. advisories for updates and apply patches once available. Until then, avoid placing untrusted user input directly into pattern-matching query conditions on embedded associations.
CVE-2026-93761: CWE-1333: Inefficient Regular Expression Complexity in MongoDB Inc. Mongoid
Description
An inefficient regular expression complexity issue in the in-memory query evaluation component of the Mongoid library may allow an unauthenticated party to cause excessive processing within an embedding application process. Applications that place user-supplied text into a pattern-matching query condition on an embedded association may become unresponsive.
CVSS v4.0
Score 8.7high
Affected software
MongoDB Inc.
Mongoid
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability arises from inefficient handling of regular expressions within Mongoid's in-memory query evaluation. Specifically, when user input is embedded in pattern-matching query conditions on associations, the complexity of the regular expression can cause excessive CPU consumption. This can lead to denial of service by making the application process unresponsive. The vulnerability affects multiple versions of Mongoid from 7.2.0 through 9.1.0 as explicitly listed. There is no indication of known exploits in the wild or cloud service impact.
Potential Impact
An unauthenticated attacker can exploit this vulnerability to cause excessive processing load on the affected application, potentially leading to denial of service by making the application unresponsive. This impacts availability but does not indicate confidentiality or integrity compromise.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. No official fix or patch links are provided in the available data. Users should monitor MongoDB Inc. advisories for updates and apply patches once available. Until then, avoid placing untrusted user input directly into pattern-matching query conditions on embedded associations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mongodb
- Date Reserved
- 2026-09-18T16:51:40.241Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aad759d55bf5e2cf54f30a8
Added to database: 09/18/2026, 17:32:13 UTC
Last enriched: 09/18/2026, 17:47:26 UTC
Last updated: 09/18/2026, 22:36:51 UTC
Views: 10
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