CVE-2026-93765: CWE-470: Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection') in MongoDB Inc. Mongoid
Mongoid contains an unsafe reflection weakness in the document persistence layer of its object-document mapping code. Input whose keys are passed through from an unauthenticated party by an embedding application can cause unintended internal method invocation instead of the intended array field update. This may result in unintended removal of stored records and in the embedding application becoming unresponsive.
AI Analysis
Technical Summary
Mongoid contains an unsafe reflection vulnerability (CWE-470) in its document persistence layer. Specifically, input keys passed from unauthenticated sources can cause internal method invocations rather than safe array field updates. This behavior can result in the removal of stored records and potentially render the embedding application unresponsive. The vulnerability affects Mongoid versions >=8.0.0 <=8.0.12, >=8.1.0 <=8.1.12, >=9.0.0 <=9.0.11, and =9.1.0. The CVSS 4.0 base score is 8.3, indicating high severity, with network attack vector, low attack complexity, no privileges required, no user interaction, and high impact on confidentiality and availability.
Potential Impact
Exploitation of this vulnerability can cause unintended deletion of stored records within Mongoid and may cause the embedding application to become unresponsive, impacting data integrity and application availability. No known exploits are reported in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no patch links or official fixes are provided, users should monitor MongoDB Inc. advisories for updates. Until a fix is available, avoid processing unauthenticated input that could influence Mongoid's document persistence layer.
CVE-2026-93765: CWE-470: Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection') in MongoDB Inc. Mongoid
Description
Mongoid contains an unsafe reflection weakness in the document persistence layer of its object-document mapping code. Input whose keys are passed through from an unauthenticated party by an embedding application can cause unintended internal method invocation instead of the intended array field update. This may result in unintended removal of stored records and in the embedding application becoming unresponsive.
CVSS v4.0
Score 8.3high
Affected software
MongoDB Inc.
Mongoid
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
Mongoid contains an unsafe reflection vulnerability (CWE-470) in its document persistence layer. Specifically, input keys passed from unauthenticated sources can cause internal method invocations rather than safe array field updates. This behavior can result in the removal of stored records and potentially render the embedding application unresponsive. The vulnerability affects Mongoid versions >=8.0.0 <=8.0.12, >=8.1.0 <=8.1.12, >=9.0.0 <=9.0.11, and =9.1.0. The CVSS 4.0 base score is 8.3, indicating high severity, with network attack vector, low attack complexity, no privileges required, no user interaction, and high impact on confidentiality and availability.
Potential Impact
Exploitation of this vulnerability can cause unintended deletion of stored records within Mongoid and may cause the embedding application to become unresponsive, impacting data integrity and application availability. No known exploits are reported in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no patch links or official fixes are provided, users should monitor MongoDB Inc. advisories for updates. Until a fix is available, avoid processing unauthenticated input that could influence Mongoid's document persistence layer.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mongodb
- Date Reserved
- 2026-09-18T16:51:43.596Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aad721155bf5e2cf54a3766
Added to database: 09/18/2026, 17:17:05 UTC
Last enriched: 09/18/2026, 17:31:30 UTC
Last updated: 09/18/2026, 23:38:37 UTC
Views: 9
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.