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CVE-2026-88022 MongoDB CVE debrief

CVE-2026-88022 Improper neutralization of special elements in data query logic in the MongoDB integration for Laravel can cause an array supplied to an explicit equality filter to be interpreted as a query condition rather than as a literal value, potentially leading to unauthorized data access or deletion. This affects applications using the three-argument `where` method with `=` or `eq` operators, as well as `find` and `delete` methods that use that code path. Defenders should assess exposure and prioritize remediation based on the potential impact.

Vendor
MongoDB
Product
Laravel MongoDB (PHP)
CVSS
HIGH 8.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-10
Original CVE updated
2026-09-29
Advisory published
2026-09-10
Advisory updated
2026-09-29

Who should care

Defenders of applications using the MongoDB integration for Laravel should assess exposure and prioritize remediation. Relevant roles include developers and security teams who manage affected applications. The vulnerability can lead to potential data breaches and system compromise if not addressed. Prioritization is crucial due to the high severity of the vulnerability and potential operational impacts.

Why it matters

Defenders should care about CVE-2026-88022 because it can lead to unauthorized data access or deletion in applications using the affected MongoDB integration for Laravel. Relevant roles include developers and security teams. Supported consequences include potential data breaches and system compromise. Action priority is high, but evidence is limited to CVE and NVD records.

  • Potential unauthorized data access
  • Possible data deletion beyond intended targets
  • Need to verify affected versions and apply remediation

Technical summary

The three-argument `where` method when the operator is `=` or `eq`, as well as the `find` and `delete` methods that use that code path, are affected in the MongoDB integration for Laravel. This allows an attacker to interpret an array as a query condition, potentially leading to unauthorized data access or deletion. Defenders should focus on verifying affected versions and applying vendor remediation to mitigate the vulnerability. The affected code paths are used in various MongoDB integration APIs, increasing the potential attack surface.

Defensive priority

Defenders should prioritize verifying affected versions and applying vendor remediation.

Recommended defensive actions

  • Verify if the application uses the affected MongoDB integration for Laravel
  • Check if the version is prior to 5.11.0
  • Apply vendor remediation if available
  • 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, but vendor advisory details are limited. Evidence is based on CVE and NVD records, with limited source information. Defenders should verify affected versions and apply remediation based on available information. The CVE Program and NVD provide official records, but additional details may be needed for comprehensive risk assessment.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-88022 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-88022

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-88022 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-88022

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

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.