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-2024-27282

CVE-2024-27282: Ruby Regex Information Disclosure Flaw

CVE-2024-27282 is an information disclosure vulnerability in Ruby's regex compiler that allows attackers to extract arbitrary heap data, including pointers and sensitive strings. This article covers technical details, affected versions, and mitigation strategies.

Updated: January 22, 2026

CVE-2024-27282 Overview

An out-of-bounds read vulnerability was discovered in Ruby's regex compiler that allows attackers to extract arbitrary heap data. When attacker-supplied data is provided to the Ruby regex compiler, it becomes possible to read memory contents relative to the start of the text buffer, including sensitive information such as pointers and strings stored in heap memory.

Critical Impact

This vulnerability enables attackers to extract sensitive data from heap memory through malicious regex patterns, potentially exposing authentication tokens, cryptographic keys, and other confidential information processed by Ruby applications.

Affected Products

  • Ruby 3.0.x through 3.0.6
  • Ruby 3.1.x through 3.1.4
  • Ruby 3.2.x through 3.2.3
  • Ruby 3.3.0

Discovery Timeline

  • 2024-04-23 - Ruby project releases security advisory
  • 2024-05-14 - CVE-2024-27282 published to NVD
  • 2025-11-04 - Last updated in NVD database

Technical Details for CVE-2024-27282

Vulnerability Analysis

This vulnerability is classified as CWE-125 (Out-of-Bounds Read) and affects Ruby's regular expression compilation engine. The flaw exists in how the regex compiler handles attacker-controlled input data, allowing memory reads beyond the intended buffer boundaries.

When a Ruby application processes user-supplied data through the regex compiler, the vulnerability permits extraction of heap memory contents relative to the text being processed. This means an attacker can craft specific input patterns that cause the regex engine to read and potentially return memory contents that should not be accessible, including memory addresses, internal pointers, and sensitive string data stored elsewhere in the process heap.

The local attack vector requires user interaction, meaning an attacker would need to convince a user to process malicious input or exploit an application that processes untrusted regex patterns. Despite requiring local access and user interaction, the vulnerability presents significant confidentiality risks due to the potential exposure of sensitive heap data.

Root Cause

The root cause lies in improper bounds checking within Ruby's regex compilation routine. The regex compiler fails to properly validate memory access boundaries when processing certain input patterns, allowing reads to occur outside the allocated text buffer. This boundary validation failure enables an attacker to leverage the regex engine as an oracle for reading arbitrary heap memory locations relative to the input text's position in memory.

Attack Vector

The attack requires local access with user interaction. An attacker must craft malicious input that gets processed by Ruby's regex compiler. This could occur in scenarios where:

  • A web application accepts user-provided regex patterns for search functionality
  • A command-line tool processes untrusted input through regex matching
  • A service deserializes or processes data containing regex patterns from untrusted sources

The attacker provides specially crafted data to the regex compiler, which then reads heap memory beyond intended boundaries. The extracted data may include sensitive information such as session tokens, passwords, cryptographic material, or memory layout information that could facilitate further exploitation.

Detection Methods for CVE-2024-27282

Indicators of Compromise

  • Unusual regex patterns in application logs that contain non-standard or escape sequences
  • Ruby applications exhibiting unexpected memory access patterns or crashes
  • Error messages indicating regex compilation failures with suspicious input
  • Memory disclosure in application responses that includes unexpected binary data

Detection Strategies

  • Monitor Ruby applications for regex operations involving user-supplied input patterns
  • Implement logging for regex compilation operations to identify suspicious patterns
  • Deploy application-level monitoring to detect unusual memory access patterns in Ruby processes
  • Use static analysis tools to identify code paths where untrusted data reaches regex compilation functions

Monitoring Recommendations

  • Enable verbose logging for Ruby applications processing user input through regex engines
  • Monitor system logs for Ruby process crashes or abnormal terminations related to regex operations
  • Implement intrusion detection rules for known exploitation patterns targeting this vulnerability
  • Review application traffic for unusually long or malformed regex patterns in request parameters

How to Mitigate CVE-2024-27282

Immediate Actions Required

  • Upgrade Ruby to patched versions: 3.0.7, 3.1.5, 3.2.4, or 3.3.1 immediately
  • Audit applications for code paths where untrusted input is passed to regex compilation functions
  • Implement input validation to reject suspicious regex patterns before compilation
  • Consider sandboxing Ruby applications that must process untrusted regex input

Patch Information

Ruby has released fixed versions addressing this vulnerability. The patched versions are:

  • Ruby 3.0.7 for the 3.0.x branch
  • Ruby 3.1.5 for the 3.1.x branch
  • Ruby 3.2.4 for the 3.2.x branch
  • Ruby 3.3.1 for the 3.3.x branch

Administrators should update to the appropriate patched version for their Ruby branch. For detailed patch information, refer to the Ruby Security Advisory and the HackerOne Report #2122624.

Distribution-specific updates are available through Debian LTS and Fedora package repositories.

Workarounds

  • Sanitize all user input before passing to Ruby regex functions by removing or escaping special regex characters
  • Implement allowlisting for regex patterns if dynamic pattern generation is required
  • Use alternative string matching methods that do not involve regex compilation for untrusted input
  • Deploy web application firewalls configured to detect and block suspicious regex patterns
bash
# Verify Ruby version and upgrade if vulnerable
ruby --version
# If vulnerable, upgrade using your package manager
# For rbenv users:
rbenv install 3.3.1
rbenv global 3.3.1
# For system Ruby on Debian/Ubuntu:
sudo apt update && sudo apt upgrade ruby
# Verify the upgrade
ruby --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/TechRuby

  • SeverityMEDIUM

  • CVSS Score6.6

  • EPSS Probability0.62%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:L
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityLow
  • AvailabilityLow
  • CWE References
  • CWE-125
  • Technical References
  • HackerOne Report #2122624

  • Ruby News CVE-2024-27282

  • Debian LTS Security Notice

  • Fedora Package Announcement

  • Fedora Package Announcement

  • NetApp Security Advisory NTAP-20241011-0007
  • Related CVEs
  • CVE-2025-61594: Ruby-lang Uri Information Disclosure Bug

  • CVE-2025-27221: Ruby URI Gem Credential Leak Vulnerability

  • CVE-2025-0306: Ruby Marvin Attack Vulnerability

  • CVE-2024-27280: Ruby StringIO Buffer Overflow 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