Join the Cyber Forum: Threat Intel on May 12, 2026 to learn how AI is reshaping threat defense.Join the Virtual Cyber Forum: Threat IntelRegister Now
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-2025-11537

CVE-2025-11537: Keycloak Information Disclosure Issue

CVE-2025-11537 is an information disclosure vulnerability in Keycloak that exposes sensitive authentication headers in logs. Attackers with log access can extract credentials for account takeover. This article covers technical details, affected versions, impact, and mitigation strategies.

Published: February 13, 2026

CVE-2025-11537 Overview

A security flaw was discovered in Keycloak where sensitive authentication headers are exposed in cleartext when verbose logging patterns are configured. When the logging format is set to user-supplied patterns such as the pre-defined 'long' pattern, Authorization and Cookie headers are disclosed to log files. An attacker with read access to log files can extract credentials including bearer tokens and session cookies, enabling user impersonation and full account compromise.

Critical Impact

Attackers with log file access can extract bearer tokens and session cookies to impersonate users and fully compromise accounts.

Affected Products

  • Keycloak (specific versions not disclosed)

Discovery Timeline

  • 2026-02-10 - CVE-2025-11537 published to NVD
  • 2026-02-10 - Last updated in NVD database

Technical Details for CVE-2025-11537

Vulnerability Analysis

This vulnerability falls under CWE-117 (Improper Output Neutralization for Logs), representing an information disclosure flaw in Keycloak's logging subsystem. The core issue stems from how Keycloak handles HTTP request logging when verbose patterns are enabled.

When administrators configure logging to use detailed formats like the built-in 'long' pattern, the application fails to sanitize sensitive HTTP headers before writing them to log files. This means that Authorization headers containing bearer tokens and Cookie headers containing session identifiers are written in cleartext, creating a persistent record of credentials that should never be stored.

The vulnerability requires local access to the system where Keycloak logs are stored. An attacker who gains read access to these log files—whether through a separate vulnerability, insider access, or misconfigured file permissions—can harvest authentication credentials from historical log entries. These credentials can then be replayed to impersonate legitimate users.

Root Cause

The root cause is improper output neutralization in Keycloak's logging implementation. When verbose logging patterns are configured, the application includes HTTP request headers in log output without properly sanitizing or redacting sensitive authentication data. The logging subsystem treats Authorization and Cookie headers the same as non-sensitive headers, leading to credential exposure in log files.

Attack Vector

This vulnerability has a local attack vector requiring the attacker to have read access to log files on the system running Keycloak. The attack sequence involves:

  1. An attacker gains read access to Keycloak log files (through misconfigured permissions, another vulnerability, or legitimate but abused access)
  2. The attacker searches log files for Authorization and Cookie header entries
  3. Bearer tokens and session cookies are extracted from log entries
  4. The attacker uses the harvested credentials to impersonate affected users

The attack requires user interaction in the sense that legitimate users must authenticate through the Keycloak instance while verbose logging is enabled, generating the log entries containing their credentials.

Detection Methods for CVE-2025-11537

Indicators of Compromise

  • Unusual read access patterns to Keycloak log files or directories
  • Log analysis tools or scripts being executed against authentication logs
  • Session tokens being used from unexpected IP addresses or locations
  • Multiple authentication sessions for users that should only have single sessions
  • Evidence of log file exfiltration or copying to unauthorized locations

Detection Strategies

  • Monitor file access events for Keycloak log directories using file integrity monitoring solutions
  • Implement anomaly detection for log file access patterns, alerting on unusual read operations
  • Track session token usage and flag tokens being used from multiple distinct network locations
  • Review logging configurations regularly to identify verbose patterns that may expose sensitive data

Monitoring Recommendations

  • Enable audit logging for all file system access to Keycloak log directories
  • Configure SentinelOne Singularity Platform to monitor for suspicious file access patterns on log files
  • Implement SIEM rules to correlate log file access with subsequent authentication anomalies
  • Deploy endpoint detection to identify credential harvesting tools or scripts targeting log files

How to Mitigate CVE-2025-11537

Immediate Actions Required

  • Review current Keycloak logging configuration and disable verbose patterns like 'long' that include request headers
  • Rotate all bearer tokens and invalidate active sessions that may have been exposed during the vulnerable period
  • Restrict file system permissions on log directories to only essential service accounts
  • Audit log file access to identify any potential credential harvesting that has already occurred
  • Implement log file encryption at rest to protect historical data

Patch Information

Consult the Red Hat CVE-2025-11537 Advisory for official patch information and updated Keycloak versions that address this vulnerability. Additional technical details are available in Red Hat Bug Report #2402616.

Workarounds

  • Configure Keycloak to use logging patterns that exclude request headers, particularly avoiding the 'long' pattern
  • Implement log sanitization filters to redact Authorization and Cookie headers before they are written to disk
  • Restrict log file permissions to prevent unauthorized read access using appropriate file system ACLs
  • Consider redirecting sensitive logs to a secure, centralized logging system with access controls
  • Enable log rotation with short retention periods to minimize the window of credential exposure

The vulnerability can be mitigated through configuration changes that prevent sensitive headers from being logged. Modify the logging format in your Keycloak configuration to use a pattern that excludes request headers, or implement a custom log filter that redacts sensitive values before they reach the log file.

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechKeycloak

  • SeverityMEDIUM

  • CVSS Score5.0

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-117
  • Technical References
  • Red Hat CVE-2025-11537 Advisory

  • Red Hat Bug Report #2402616
  • Related CVEs
  • CVE-2026-37977: Keycloak CORS Information Disclosure Flaw

  • CVE-2026-3190: Keycloak Information Disclosure Flaw

  • CVE-2026-4633: Keycloak User Enumeration Vulnerability

  • CVE-2026-4366: Keycloak Information Disclosure Flaw
Default Legacy - Prefooter | 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