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
    • 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-2026-23735

CVE-2026-23735: GraphQL Modules Privilege Escalation Flaw

CVE-2026-23735 is a privilege escalation vulnerability in GraphQL Modules where parallel requests mix execution contexts, potentially exposing authentication tokens. This article covers technical details, affected versions, and patches.

Published: January 23, 2026

CVE-2026-23735 Overview

CVE-2026-23735 is a race condition vulnerability in GraphQL Modules, a toolset of libraries and guidelines dedicated to creating reusable, maintainable, testable, and extendable modules for GraphQL servers. The vulnerability affects versions 2.2.1 through 2.4.0 and 3.0.0 through 3.1.0, where parallel requests can cause execution context mixing when context is injected via @ExecutionContext().

Critical Impact

When two or more parallel requests trigger the same service, the context of the requests becomes mixed up, potentially allowing authentication tokens and sensitive data to leak between different user sessions.

Affected Products

  • GraphQL Modules versions 2.2.1 to before 2.4.1
  • GraphQL Modules versions 3.0.0 to before 3.1.1

Discovery Timeline

  • 2026-01-16 - CVE CVE-2026-23735 published to NVD
  • 2026-01-16 - Last updated in NVD database

Technical Details for CVE-2026-23735

Vulnerability Analysis

This vulnerability stems from a race condition (CWE-362) in how GraphQL Modules handles concurrent request processing. The ExecutionContext mechanism, commonly used to propagate authentication tokens from incoming requests to services that load data from backend APIs, fails to properly isolate context between parallel requests.

When multiple requests arrive simultaneously and trigger the same service, the framework does not adequately synchronize access to the execution context. This leads to a Time-of-Check Time-of-Use (TOCTOU) condition where one request's context can be inadvertently applied to another request's service execution.

The network-accessible nature of this vulnerability means attackers can potentially trigger context mixing remotely without requiring any authentication or user interaction. The primary impact is on data integrity, as authenticated sessions may receive data or perform actions under another user's context.

Root Cause

The root cause lies in the improper handling of shared state during concurrent request processing within the @ExecutionContext() decorator implementation. The dependency injection system fails to maintain proper isolation boundaries when multiple requests instantiate services simultaneously, allowing the execution context from one request to pollute another's service instance.

Attack Vector

The attack exploits the network-accessible GraphQL endpoint by sending multiple parallel requests designed to trigger the same service simultaneously. An attacker can craft timing-based requests to maximize the likelihood of context collision, potentially:

  1. Accessing data belonging to other authenticated users
  2. Performing actions with another user's authentication tokens
  3. Bypassing authorization checks by inheriting elevated privileges from concurrent sessions

The exploitation requires the attacker to time requests to coincide with legitimate user activity, making this a probabilistic attack that becomes more reliable under high-load conditions.

Detection Methods for CVE-2026-23735

Indicators of Compromise

  • Unexpected data access patterns where users receive or modify data outside their authorization scope
  • Authentication token mismatches in backend API calls compared to the originating request
  • Anomalous correlation between user sessions during high-concurrency periods
  • Log entries showing service executions with mismatched user context identifiers

Detection Strategies

  • Implement request correlation IDs and audit logging to track context consistency across the request lifecycle
  • Monitor for authorization anomalies where actions are performed under incorrect user contexts
  • Deploy application performance monitoring (APM) to identify concurrent request patterns targeting the same services
  • Review GraphQL query logs for patterns of parallel requests from different authentication contexts

Monitoring Recommendations

  • Enable detailed logging for ExecutionContext injection events with request identifiers
  • Set up alerts for context switching anomalies in service layer authentication
  • Monitor backend API calls for authentication token inconsistencies relative to originating GraphQL requests
  • Track concurrent request rates and service instantiation patterns

How to Mitigate CVE-2026-23735

Immediate Actions Required

  • Upgrade GraphQL Modules to version 2.4.1 or 3.1.1 immediately
  • Review application logs for signs of context mixing that may indicate exploitation
  • Audit any sensitive operations performed during the vulnerable period for potential data integrity issues
  • Consider implementing additional request-scoped isolation at the application layer as defense-in-depth

Patch Information

The vulnerability has been fixed in GraphQL Modules versions 2.4.1 and 3.1.1. The patch addresses the race condition by ensuring proper isolation of execution context between concurrent requests. For detailed information about the fix, refer to the GitHub Pull Request and Release Notes.

Additional resources:

  • GitHub Security Advisory
  • GitHub Issue Report

Workarounds

  • Implement request-scoped service instantiation manually if immediate patching is not possible
  • Reduce server concurrency limits to minimize the likelihood of parallel request collision
  • Add application-layer context validation that verifies authentication tokens match throughout the request lifecycle
  • Consider implementing a request queuing mechanism for services that handle sensitive authentication data
bash
# Update GraphQL Modules to patched version
npm update graphql-modules@2.4.1
# or for version 3.x
npm update graphql-modules@3.1.1

# Verify installed version
npm list graphql-modules

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

  • Vulnerability Details
  • TypePrivilege Escalation

  • Vendor/TechGraphql Modules

  • SeverityHIGH

  • CVSS Score8.7

  • EPSS Probability0.18%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/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-362
  • Technical References
  • GitHub Issue Report

  • GitHub Pull Request

  • GitHub Release Notes

  • GitHub Security Advisory
  • Latest CVEs
  • CVE-2026-35467: Browser API Key Information Disclosure

  • CVE-2026-35466: cveInterface.js XSS Vulnerability

  • CVE-2026-30252: ZenShare Suite XSS Vulnerability

  • CVE-2026-30251: ZenShare Suite v17.0 XSS Vulnerability
Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now 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