The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • AI Data Pipelines
      Security Data Pipeline for AI SIEM and Data Optimization
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2026-8200

CVE-2026-8200: MongoDB Server Information Disclosure Flaw

CVE-2026-8200 is an information disclosure vulnerability in MongoDB Server that exposes user data in logs when schema validation fails. This article covers the technical details, affected versions, and mitigation.

Published: May 17, 2026

CVE-2026-8200 Overview

CVE-2026-8200 affects MongoDB Server when schema validation is enabled on a collection. When an insert or update operation violates the collection schema, the resulting local server log message may contain user data that is not properly redacted. The flaw is categorized under [CWE-532]: Insertion of Sensitive Information into Log File. An attacker with high privileges and user interaction can trigger schema violations to capture sensitive data written to server logs.

Critical Impact

Sensitive document fields submitted during failed schema-validated writes may be persisted in MongoDB server logs in cleartext, exposing user data to anyone with log file access.

Affected Products

  • MongoDB Server v7.0 versions prior to 7.0.34
  • MongoDB Server v8.0 versions prior to 8.0.23
  • MongoDB Server v8.2 versions prior to 8.2.9
  • MongoDB Server v8.3 versions prior to 8.3.2

Discovery Timeline

  • 2026-05-13 - CVE-2026-8200 published to NVD
  • 2026-05-13 - Last updated in NVD database

Technical Details for CVE-2026-8200

Vulnerability Analysis

MongoDB collections support JSON Schema validation rules that reject documents failing to meet defined constraints. When a write operation violates these constraints, the server emits a diagnostic log message describing the failure. This message is intended to assist administrators in debugging but is expected to honor MongoDB's log redaction controls.

In the affected versions, the redaction logic does not cover all user-supplied data paths in the schema validation error reporting code. Field values from the rejected document may be written to the local mongod log in cleartext. Logs frequently contain personally identifiable information, credentials, or regulated data, making improper redaction a confidentiality concern.

The issue is tracked in MongoDB Jira Issue SERVER-121895.

Root Cause

The root cause is incomplete output sanitization in the schema validation error path. MongoDB's standard log redaction excludes sensitive fields when --redactClientLogData is enabled, but the schema-violation log emitter bypasses portions of that pipeline. As a result, user data embedded in rejected documents leaks into the persisted log stream.

Attack Vector

An authenticated user with privileges to perform inserts or updates on a schema-validated collection submits a document that violates the schema. The resulting validation error log message captures user-supplied content. An adversary with access to log files, log aggregation systems, or backup storage can subsequently read the unredacted data. The vector is network-accessible because the triggering operation is a standard MongoDB write, though high privileges and user interaction are required.

No verified proof-of-concept code is publicly available. The vulnerability mechanism is described in the MongoDB advisory and associated Jira ticket.

Detection Methods for CVE-2026-8200

Indicators of Compromise

  • Schema validation failure entries in mongod.log containing document field values that should be redacted.
  • Log messages referencing DocumentValidationFailure or validation failed accompanied by raw field content.
  • Unexpected log volume spikes correlated with bulk write operations against schema-validated collections.

Detection Strategies

  • Audit existing MongoDB server logs for schema validation error entries and grep for known sensitive field names such as password, ssn, token, or email.
  • Compare log output between versions to identify whether redaction is functioning as expected after applying fixed builds.
  • Monitor MongoDB audit logs for write operations targeting collections with validator configurations defined.

Monitoring Recommendations

  • Forward mongod logs to a centralized log management or SIEM platform with strict access controls and retention policies.
  • Alert on schema validation errors generated by application service accounts that should not produce malformed documents.
  • Review log file permissions and backup access lists to limit who can read potentially leaked data prior to patching.

How to Mitigate CVE-2026-8200

Immediate Actions Required

  • Upgrade MongoDB Server to a fixed release: 7.0.34, 8.0.23, 8.2.9, or 8.3.2 or later.
  • Rotate any credentials, tokens, or secrets that may have been written to MongoDB server logs while schema validation was active.
  • Restrict filesystem access to mongod.log and any forwarded log copies to the minimum required operators.

Patch Information

MongoDB has released fixes in Server versions 7.0.34, 8.0.23, 8.2.9, and 8.3.2. Refer to MongoDB Jira Issue SERVER-121895 for the engineering ticket associated with this fix. Apply the upgrade through your standard MongoDB rolling upgrade procedure to avoid service disruption on replica sets and sharded clusters.

Workarounds

  • Enable --redactClientLogData on mongod to reduce exposure, though this does not fully resolve the schema validation log path issue.
  • Disable schema validation on collections containing highly sensitive fields until the patch is applied, accepting the corresponding data integrity tradeoff.
  • Sanitize or purge historical log files that may contain leaked user data before forwarding to long-term storage.
bash
# Configuration example: launch mongod with client log data redaction
mongod --config /etc/mongod.conf --redactClientLogData

# Verify installed MongoDB Server version
mongod --version

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechMongodb

  • SeverityMEDIUM

  • CVSS Score4.8

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:P/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-532
  • Technical References
  • MongoDB Jira Issue SERVER-121895
  • Related CVEs
  • CVE-2026-6231: MongoDB C Driver Validation Bypass Flaw

  • CVE-2025-14847: MongoDB Information Disclosure Vulnerability

  • CVE-2024-1351: MongoDB TLS Certificate Validation Bypass

  • CVE-2021-20333: MongoDB Server Log Injection Vulnerability
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.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English