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-2026-42316

CVE-2026-42316: Azure Kusto Kafka Connector Privilege Escalation

CVE-2026-42316 is a privilege escalation vulnerability in kafka-sink-azure-kusto affecting Azure Data Explorer Kafka Connect plugin. Attackers can execute arbitrary KQL commands via unsanitized configuration values. This article covers technical details, affected versions, impact, and mitigation steps.

Published: May 18, 2026

CVE-2026-42316 Overview

CVE-2026-42316 is a Kusto Query Language (KQL) injection vulnerability in the kafka-sink-azure-kusto Kafka Connect plugin, the official Microsoft sink connector for Azure Data Explorer. Versions prior to 5.2.3 fail to sanitize user-controlled values inside the kusto.tables.topics.mapping configuration. An actor with permission to submit or edit Kafka Connect connector configurations can embed KQL metacharacters to execute arbitrary management commands against the target Azure Data Explorer database. The flaw is categorized under CWE-943: Improper Neutralization of Special Elements in Data Query Logic.

Critical Impact

An attacker with privileged access to connector configuration can execute arbitrary KQL management commands in the context of the connector's service principal, enabling schema enumeration, ingestion-mapping tampering, and modification of streaming or retention policies.

Affected Products

  • kafka-sink-azure-kusto Kafka Connect plugin versions prior to 5.2.3
  • Azure Data Explorer (Kusto) databases targeted by vulnerable connector deployments
  • Kafka Connect environments hosting the affected sink connector

Discovery Timeline

  • 2026-05-11 - CVE-2026-42316 published to NVD
  • 2026-05-13 - Last updated in NVD database

Technical Details for CVE-2026-42316

Vulnerability Analysis

The kafka-sink-azure-kusto connector constructs KQL management and query commands by directly interpolating configuration values into command templates using Java's String.formatted(...). The db, table, mapping, and format fields of each mapping entry in the kusto.tables.topics.mapping configuration are concatenated into KQL strings without sanitization or parameterization.

For example, FETCH_TABLE_COMMAND.formatted(table) produces <table> | count, and FETCH_TABLE_MAPPING_COMMAND.formatted(table, format, mapping) produces .show table <table> ingestion <format> mapping '<mapping>'. An attacker who supplies crafted values containing KQL metacharacters such as ;, |, or ' can break out of the intended command boundary and append arbitrary commands.

Exploitation is limited to actors with privileged access to the Kafka Connect REST API or connector configuration storage. No end-user interaction or Kafka record payload is involved, which classifies this as a tampering vulnerability rather than a remote unauthenticated attack.

Root Cause

The root cause is the absence of input neutralization on configuration-supplied identifiers before they enter KQL command strings. The connector trusts configuration values implicitly and treats them as safe identifiers rather than untrusted input requiring escaping or validation against an allowlist.

Attack Vector

An attacker with the ability to submit or edit Kafka Connect connector configurations injects KQL metacharacters into the db, table, mapping, or format fields. When the connector loads the configuration and issues management commands to Azure Data Explorer, the injected payload executes under the connector's service principal. This grants the attacker the effective KQL privileges held by that principal on the target database.

The vulnerability manifests in the command formatting logic of the connector. Refer to the GitHub Security Advisory GHSA-c9mr-mqvh-6wgj and the fix in Pull Request #155 for code-level technical details.

Detection Methods for CVE-2026-42316

Indicators of Compromise

  • Kafka Connect connector configurations containing KQL metacharacters (;, |, ') in the db, table, mapping, or format fields of kusto.tables.topics.mapping
  • Unexpected .show, .alter, .drop, or .set management commands in Azure Data Explorer audit logs originating from the connector's service principal
  • Modifications to ingestion mappings, streaming policies, or retention policies that do not correspond to authorized change requests

Detection Strategies

  • Audit existing Kafka Connect connector configurations for unusual characters in mapping fields and compare against a known-good baseline
  • Enable and review Azure Data Explorer diagnostic logs (SucceededIngestion, FailedIngestion, Command) for management commands issued by Kafka Connect service principals
  • Correlate connector configuration change events from the Kafka Connect REST API with subsequent ADX command activity

Monitoring Recommendations

  • Forward Kafka Connect REST API access logs and Azure Data Explorer command logs to a centralized SIEM for cross-source correlation
  • Alert on any KQL control commands (.alter, .drop, .set-or-append) executed by service principals associated with sink connectors
  • Monitor changes to kusto.tables.topics.mapping configuration values and require review for entries containing punctuation outside expected identifier character sets

How to Mitigate CVE-2026-42316

Immediate Actions Required

  • Upgrade kafka-sink-azure-kusto to version 5.2.3 or later across all Kafka Connect workers
  • Restrict access to the Kafka Connect REST API and configuration storage to a minimal set of trusted operators
  • Apply least-privilege permissions to the Azure Data Explorer service principal used by the connector, limiting it to required database, table, and ingestion roles
  • Review historical connector configurations and ADX command logs for evidence of injected KQL metacharacters

Patch Information

The vulnerability is fixed in kafka-sink-azure-kusto version 5.2.3. The patch sanitizes configuration-supplied identifiers before they are interpolated into KQL commands. See the GitHub Release v5.2.3 and the merged Pull Request #155 for details.

Workarounds

  • Where immediate upgrade is not possible, enforce strict allowlist validation on connector configuration submissions, rejecting any db, table, mapping, or format value containing characters outside [A-Za-z0-9_]
  • Reduce the Azure Data Explorer permissions of the connector service principal to the minimum required for ingestion, removing rights to alter schemas, mappings, or policies
  • Require code review and change-control approval for all Kafka Connect connector configuration changes referencing Azure Data Explorer targets
bash
# Verify installed connector version on a Kafka Connect worker
curl -s http://kafka-connect:8083/connector-plugins | \
  jq '.[] | select(.class | contains("KustoSinkConnector"))'

# Example allowlist validation (reject configs with KQL metacharacters)
CONFIG_VALUE="my_table"
if [[ ! "$CONFIG_VALUE" =~ ^[A-Za-z0-9_]+$ ]]; then
  echo "Rejected: configuration value contains disallowed characters"
  exit 1
fi

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

  • Vulnerability Details
  • TypePrivilege Escalation

  • Vendor/TechKafka Sink Azure Kusto

  • SeverityMEDIUM

  • CVSS Score6.5

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-943
  • Technical References
  • GitHub Pull Request

  • GitHub Release v5.2.3

  • GitHub Security Advisory
  • Latest CVEs
  • CVE-2026-46333: Linux Kernel Privilege Escalation Flaw

  • CVE-2026-2586: Eclipse Glassfish RCE Vulnerability

  • CVE-2026-2587: Eclipse Glassfish RCE Vulnerability

  • CVE-2026-45255: FreeBSD bsdinstall/bsdconfig RCE Flaw
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