Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2026-18688

CVE-2026-18688: MongoDB Server DoS Vulnerability

CVE-2026-18688 is a denial of service flaw in MongoDB Server's aggregation framework that allows authenticated users to crash the server. This article covers the technical details, affected versions, and mitigation.

Published:

CVE-2026-18688 Overview

CVE-2026-18688 is an out-of-bounds read vulnerability [CWE-125] in MongoDB Server's aggregation framework. An authenticated user can trigger the flaw by supplying a specially formed numeric parameter to a specific aggregation pipeline stage. Exploitation causes the server to read memory outside intended bounds, resulting in a server crash and denial of service. The condition may also expose limited memory contents to the attacker.

Critical Impact

An authenticated attacker with low privileges can crash MongoDB Server over the network by submitting a crafted aggregation pipeline, disrupting database availability and potentially leaking small amounts of process memory.

Affected Products

  • MongoDB Server (aggregation framework component)
  • Refer to MongoDB JIRA Issue SERVER-129617 for affected version ranges
  • Deployments accepting authenticated aggregation queries from untrusted users

Discovery Timeline

  • 2026-08-11 - CVE-2026-18688 published to the National Vulnerability Database (NVD)
  • 2026-08-11 - Last updated in NVD database

Technical Details for CVE-2026-18688

Vulnerability Analysis

The vulnerability resides in MongoDB Server's aggregation framework, the pipeline engine that transforms documents through sequential stages such as $group, $project, and $bucket. A specific pipeline stage fails to validate a numeric parameter before using it to compute a memory offset or buffer index. When the parameter is crafted outside expected bounds, the server reads memory beyond the intended allocation.

The out-of-bounds read produces two outcomes. The process typically terminates when it accesses unmapped memory, causing a denial-of-service condition for all clients connected to that MongoDB instance. In some cases the read returns adjacent process memory to the attacker, exposing a limited amount of data that may include query fragments, cached documents, or internal state.

Exploitation requires authenticated access, which restricts the attacker population but includes any user with query privileges on a targeted collection. See MongoDB JIRA Issue SERVER-129617 for tracked resolution details.

Root Cause

The root cause is missing or insufficient bounds validation on a numeric input to an aggregation pipeline stage. The code path accepts the value from the client-supplied BSON document and uses it directly in memory access calculations. Classified under [CWE-125] Out-of-Bounds Read, the flaw stems from trusting a client-controlled integer where the surrounding code assumes it falls within a valid range.

Attack Vector

The attack vector is network-based and requires authenticated, low-privilege access to the MongoDB instance. An attacker constructs an aggregation pipeline containing the vulnerable stage with a malformed numeric parameter, then submits it through any standard MongoDB driver or the mongo shell using an aggregate command. No user interaction is required. Successful exploitation crashes the mongod process and may return residual memory bytes in the error response or query output.

No verified public proof-of-concept code is available at this time. Refer to the vendor tracking issue for technical specifics.

Detection Methods for CVE-2026-18688

Indicators of Compromise

  • Unexpected mongod process crashes or restarts correlated with recent authenticated aggregate commands
  • MongoDB logs containing segmentation faults, SIGSEGV, or invariant failures following pipeline execution
  • Repeated aggregation queries from a single authenticated user immediately preceding server termination
  • Anomalous aggregation pipelines containing unusually large or negative numeric parameters in stage operators

Detection Strategies

  • Enable MongoDB audit logging and monitor the aggregate command with attention to parameter values in pipeline stages
  • Correlate database availability alerts with authenticated session activity to identify the triggering user account
  • Baseline normal aggregation pipeline shapes per application and alert on outliers containing unexpected numeric extremes
  • Review crash dumps and diagnostic logs for stack traces referencing aggregation stage handlers

Monitoring Recommendations

  • Forward MongoDB logs and audit events into a centralized SIEM for correlation with authentication events
  • Track mongod process uptime and restart counts as availability health indicators
  • Alert on authenticated sessions that generate parser errors or crashes within short time windows
  • Monitor egress from database hosts for unusual response sizes that could indicate memory content exposure

How to Mitigate CVE-2026-18688

Immediate Actions Required

  • Apply the MongoDB Server patch referenced in SERVER-129617 as soon as it is available for your release train
  • Audit MongoDB user accounts and remove aggregation privileges from accounts that do not require them
  • Rotate credentials for accounts with query access to sensitive collections if exploitation is suspected
  • Restrict network access to mongod instances to trusted application hosts only

Patch Information

MongoDB tracks remediation for this issue in SERVER-129617. Consult the MongoDB security advisories and release notes for the fixed version applicable to your deployment channel (Community, Enterprise, or Atlas), and upgrade all replica set members and shards.

Workarounds

  • Enforce least-privilege role-based access control so only trusted service accounts can execute aggregate commands
  • Place MongoDB behind a query proxy or application layer that validates aggregation pipelines before forwarding
  • Isolate MongoDB instances on private networks and require VPN or bastion access for administrative queries
  • Deploy replica sets with automated failover to reduce downtime if a primary crashes from a triggering query
bash
# Example: revoke unneeded aggregation privileges by removing broad roles
use admin
db.revokeRolesFromUser("reporting_user", [ { role: "readWrite", db: "prod" } ])
db.grantRolesToUser("reporting_user", [ { role: "read", db: "prod_reports" } ])

# Verify effective roles
db.getUser("reporting_user", { showPrivileges: true })

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.