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-2025-61921

CVE-2025-61921: Sinatrarb Sinatra DoS Vulnerability

CVE-2025-61921 is a denial of service flaw in Sinatrarb Sinatra affecting header parsing when the etag method is used. Attackers can exploit this to cause service disruptions. This article covers technical details, affected versions, impact, and mitigation steps.

Published: April 29, 2026

CVE-2025-61921 Overview

CVE-2025-61921 is a denial of service vulnerability affecting Sinatra, a popular domain-specific language for creating web applications in Ruby. The vulnerability exists in the If-Match and If-None-Match header parsing component of Sinatra when the etag method is used during response construction. Carefully crafted input can cause these header parsing operations to consume an unexpected amount of time, potentially resulting in a denial of service condition.

Critical Impact

Any Sinatra application using the etag method when generating responses is vulnerable to denial of service attacks through malicious ETag-related HTTP headers.

Affected Products

  • Sinatrarb Sinatra versions prior to 4.2.0

Discovery Timeline

  • 2025-10-10 - CVE-2025-61921 published to NVD
  • 2025-10-31 - Last updated in NVD database

Technical Details for CVE-2025-61921

Vulnerability Analysis

This vulnerability is classified as CWE-1333: Inefficient Regular Expression Complexity. The flaw resides in how Sinatra parses the If-Match and If-None-Match HTTP headers, which are integral to ETag-based cache validation mechanisms. When an application leverages the etag method to generate response headers, the incoming request headers are processed through parsing logic that can be exploited with specially crafted input patterns.

The attack targets the ETag header value parsing mechanism, causing the parser to enter a computationally expensive processing state. This algorithmic complexity attack allows remote attackers to degrade application performance or cause complete service unavailability without requiring authentication.

Root Cause

The root cause is inefficient regular expression processing in the header parsing component. When parsing If-Match and If-None-Match headers, the implementation uses patterns susceptible to catastrophic backtracking or excessive iteration when given maliciously constructed input strings. This is a classic Regular Expression Denial of Service (ReDoS) pattern where the computational complexity grows non-linearly with input length. Related discussions can be found in Ruby Issue #19104 and GitHub Issue #2120.

Attack Vector

The attack is network-based and can be executed remotely without any user interaction or prior authentication. An attacker sends HTTP requests with malformed If-Match or If-None-Match headers to any endpoint that uses the etag method in its response generation. The malicious header values are designed to trigger worst-case parsing behavior, consuming server resources and blocking request processing.

The vulnerability manifests in the ETag header parsing functions when processing conditional request headers. An attacker can craft header values that exploit inefficient parsing patterns, causing significant CPU consumption during header validation. For technical implementation details, see the GitHub Security Advisory GHSA-mr3q-g2mv-mr4q.

Detection Methods for CVE-2025-61921

Indicators of Compromise

  • Unusual spike in CPU utilization on application servers hosting Sinatra applications
  • HTTP requests containing abnormally long or malformed If-Match or If-None-Match header values
  • Increased request latency or timeouts for endpoints utilizing ETag-based caching
  • Log entries showing slow request processing times for specific endpoints

Detection Strategies

  • Implement request rate limiting and monitor for patterns of requests with large or unusual ETag-related headers
  • Configure web application firewalls (WAF) to inspect and limit the size of If-Match and If-None-Match headers
  • Set up application performance monitoring (APM) to detect sudden increases in request processing time
  • Review application logs for requests that correlate with CPU spikes or service degradation

Monitoring Recommendations

  • Monitor server CPU utilization and set alerts for sustained high-CPU conditions
  • Track request latency percentiles (p95, p99) for endpoints using the etag method
  • Implement logging for requests with oversized headers or unusual character patterns
  • Establish baseline performance metrics to quickly identify deviations indicative of active exploitation

How to Mitigate CVE-2025-61921

Immediate Actions Required

  • Upgrade Sinatra to version 4.2.0 or later, which contains the fix for this vulnerability
  • Implement request header size limits at the reverse proxy or load balancer level
  • Consider temporarily disabling ETag functionality if immediate patching is not possible
  • Deploy rate limiting to reduce the impact of potential exploitation attempts

Patch Information

The vulnerability is fixed in Sinatra version 4.2.0. The fix addresses the inefficient parsing logic in the If-Match and If-None-Match header handling. For details on the implementation, see GitHub Pull Request #2121 and GitHub Pull Request #1823. The official security advisory is available at GitHub Security Advisory GHSA-mr3q-g2mv-mr4q.

Workarounds

  • Configure upstream proxies (nginx, HAProxy) to limit maximum header sizes and reject requests with excessively long ETag-related headers
  • Implement middleware to validate and sanitize If-Match and If-None-Match headers before they reach the Sinatra application
  • Temporarily remove etag method calls from response generation if they are not critical to application functionality
  • Deploy additional reverse proxy rules to rate-limit requests containing ETag conditional headers
bash
# Example nginx configuration to limit header size
# Add to http or server block
large_client_header_buffers 4 8k;
client_header_buffer_size 1k;

# Rate limiting for suspicious requests
limit_req_zone $binary_remote_addr zone=etag_limit:10m rate=10r/s;
limit_req zone=etag_limit burst=20 nodelay;

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

  • Vulnerability Details
  • TypeDOS

  • Vendor/TechSinatra

  • SeverityLOW

  • CVSS Score2.7

  • EPSS Probability0.40%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:U/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
  • AvailabilityLow
  • CWE References
  • CWE-1333
  • Technical References
  • Ruby Issue #19104

  • GitHub Issue #2120
  • Vendor Resources
  • GitHub Pull Request #1823

  • GitHub Pull Request #2121

  • GitHub Security Advisory GHSA-mr3q-g2mv-mr4q
  • Related CVEs
  • CVE-2022-29970: Sinatra Path Traversal Vulnerability

  • CVE-2024-21510: Sinatra SSRF Vulnerability
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