PatchSiren cyber security CVE debrief
CVE-2026-13076 MongoDB CVE debrief
An authenticated user can cause a {{mongod}} process to be terminated by the operating system under memory pressure by performing a specific data type conversion operation within MongoDB's aggregation framework. The behavior stems from disproportionate memory consumption during this operation, and requires both write access to the database and the ability to run aggregation queries.
- Vendor
- MongoDB
- Product
- MongoDB Server
- CVSS
- HIGH 7.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-07-22
- Original CVE updated
- 2026-08-18
- Advisory published
- 2026-07-22
- Advisory updated
- 2026-08-18
Who should care
MongoDB administrators and users with write access to the database and ability to run aggregation queries should assess potential exposure and impact. This includes operators managing MongoDB deployments, security teams responsible for vulnerability management, and platform owners ensuring the security of their environments. These stakeholders should verify their exposure, review the potential impact on their operations, and take necessary mitigations.
Why it matters
CVE-2026-13076 is a high-severity vulnerability in MongoDB that allows an authenticated user to cause a {{mongod}} process to be terminated under memory pressure. Defenders should prioritize verifying exposure, assessing potential impact, and monitoring for abnormal memory consumption.
- Potential termination of {{mongod}} process under memory pressure
- Disruption of database operations and services
- Need for verification of MongoDB version and aggregation query usage
- Potential for abnormal memory consumption and system instability
Technical summary
The vulnerability requires an authenticated user to perform a specific data type conversion operation within MongoDB's aggregation framework, leading to disproportionate memory consumption and potential termination of the {{mongod}} process. This occurs under memory pressure and requires both write access to the database and the ability to run aggregation queries. The behavior stems from the specific operation's memory consumption characteristics. Defenders should focus on verifying exposure, assessing potential impact, and monitoring for abnormal memory consumption.
Defensive priority
Defenders should prioritize verifying exposure and assessing potential impact, focusing on MongoDB deployments with aggregation queries and write access.
Recommended defensive actions
- Verify MongoDB version and aggregation query usage
- Assess write access and potential impact on {{mongod}} process
- Monitor for abnormal memory consumption and system termination
- Review compensating controls for exposed systems while remediation is scheduled and verified
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected versions. Defenders should verify exposure, assess potential impact, and monitor for abnormal memory consumption. The vulnerability requires write access to the database and the ability to run aggregation queries. Evidence is based on CVE and NVD information, with limitations on affected scope and potential impact.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-13076 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-13076
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-13076 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-13076
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://jira.mongodb.org/browse/SERVER-128584
[email protected] - Vendor Advisory
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.