CVE-2026-18688: CWE-125: Out-of-bounds Read in MongoDB MongoDB Server
An issue in MongoDB Server's aggregation framework could allow an authenticated user to trigger an out-of-bounds memory read by providing a specially formed numeric parameter in a certain aggregation pipeline stage. This could result in a server crash (denial of service) and may potentially expose a limited amount of memory contents.
AI Analysis
Technical Summary
This vulnerability (CWE-125) exists in MongoDB Server's aggregation framework where an out-of-bounds read can be triggered by an authenticated user providing a specially formed numeric parameter in a certain aggregation pipeline stage. The flaw can cause the server to crash and potentially leak a limited amount of memory data. The affected versions explicitly include 7.0, 8.0, and 8.3.0. No official patch or remediation level has been published by the vendor as of the data provided.
Potential Impact
Successful exploitation can cause denial of service by crashing the MongoDB server and may disclose a limited amount of memory contents to an authenticated user. The impact is rated high due to the potential for service disruption and information exposure.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to trusted authenticated users only and monitor for unusual aggregation pipeline usage patterns.
CVE-2026-18688: CWE-125: Out-of-bounds Read in MongoDB MongoDB Server
Description
An issue in MongoDB Server's aggregation framework could allow an authenticated user to trigger an out-of-bounds memory read by providing a specially formed numeric parameter in a certain aggregation pipeline stage. This could result in a server crash (denial of service) and may potentially expose a limited amount of memory contents.
CVSS v4.0
Score 7.1high
Affected software
Run 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 (CWE-125) exists in MongoDB Server's aggregation framework where an out-of-bounds read can be triggered by an authenticated user providing a specially formed numeric parameter in a certain aggregation pipeline stage. The flaw can cause the server to crash and potentially leak a limited amount of memory data. The affected versions explicitly include 7.0, 8.0, and 8.3.0. No official patch or remediation level has been published by the vendor as of the data provided.
Potential Impact
Successful exploitation can cause denial of service by crashing the MongoDB server and may disclose a limited amount of memory contents to an authenticated user. The impact is rated high due to the potential for service disruption and information exposure.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict access to trusted authenticated users only and monitor for unusual aggregation pipeline usage patterns.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mongodb
- Date Reserved
- 2026-08-03T15:52:51.089Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a7b7422bf8831d539467f6c
Added to database: 08/11/2026, 19:12:34 UTC
Last enriched: 08/11/2026, 19:28:56 UTC
Last updated: 08/11/2026, 23:14:06 UTC
Views: 4
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.