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
    • 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-2024-21503

CVE-2024-21503: Black Python Formatter ReDoS Vulnerability

CVE-2024-21503 is a Regular Expression Denial of Service (ReDoS) flaw in the Black Python code formatter that allows attackers to cause service disruption. This article covers technical details, affected versions, and mitigation.

Updated: January 22, 2026

CVE-2024-21503 Overview

CVE-2024-21503 is a Regular Expression Denial of Service (ReDoS) vulnerability affecting the Black Python code formatter in versions prior to 24.3.0. The vulnerability exists in the lines_with_leading_tabs_expanded function within the strings.py file. An attacker could exploit this vulnerability by crafting malicious input containing specially constructed strings with numerous leading tab characters, causing catastrophic backtracking in the regular expression engine and resulting in denial of service conditions.

Critical Impact

Processing untrusted Python code with vulnerable versions of Black could lead to service disruption through CPU exhaustion, particularly in CI/CD pipelines and automated code formatting workflows.

Affected Products

  • Black Python Formatter versions prior to 24.3.0
  • Python projects using Black for automated code formatting
  • CI/CD pipelines integrating vulnerable Black versions

Discovery Timeline

  • 2024-03-19 - CVE-2024-21503 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2024-21503

Vulnerability Analysis

This vulnerability is classified under CWE-1333 (Inefficient Regular Expression Complexity) and CWE-75 (Failure to Sanitize Special Elements into a Different Plane). The issue stems from a poorly optimized regular expression pattern used within the lines_with_leading_tabs_expanded() function. When processing input containing strings with thousands of leading tab characters—particularly within docstrings—the regex engine enters catastrophic backtracking, consuming excessive CPU resources and potentially rendering the formatting service unresponsive.

The attack vector is network-accessible, requiring no authentication or user interaction to exploit. However, exploitation requires the attacker to supply malicious Python code to be processed by Black, making scenarios involving untrusted input processing the primary concern.

Root Cause

The root cause lies in the FIRST_NON_WHITESPACE_RE regular expression pattern that was used to match whitespace and tab characters. The pattern \s*\t+\s*(\S) exhibited exponential time complexity when processing strings with specific combinations of tabs and whitespace characters, leading to algorithmic complexity attacks against the regex engine.

Attack Vector

The vulnerability can be exploited in any environment where Black processes untrusted Python code. Attack scenarios include:

  1. CI/CD Pipeline Attacks: Submitting malicious code through pull requests that trigger automated Black formatting
  2. Online Code Formatting Services: Web services offering Black formatting could be disrupted by malicious submissions
  3. Development Environments: Processing untrusted third-party code with embedded malicious strings

The following patch shows how the vulnerability was addressed by removing the problematic regular expression pattern:

python
 STRING_PREFIX_RE: Final = re.compile(
     r"^([" + STRING_PREFIX_CHARS + r"]*)(.*)$", re.DOTALL
 )
-FIRST_NON_WHITESPACE_RE: Final = re.compile(r"\s*\t+\s*(\S)")
 UNICODE_ESCAPE_RE: Final = re.compile(
     r"(?P<backslashes>\\+)(?P<body>"
     r"(u(?P<u>[a-fA-F0-9]{4})))"  # Character with 16-bit hex value xxxx

Source: GitHub Commit f00093672628d212b8965a8993cee8bedf5fe9b8

Detection Methods for CVE-2024-21503

Indicators of Compromise

  • Abnormally high CPU utilization on systems running Black formatter
  • Black processes that hang or become unresponsive during code formatting operations
  • Timeout errors in CI/CD pipelines during automated code formatting steps
  • Python files containing suspicious strings with excessive leading tab characters in docstrings

Detection Strategies

  • Implement dependency scanning to identify Black versions prior to 24.3.0 in project requirements
  • Monitor CI/CD pipeline execution times for anomalous delays during formatting stages
  • Use software composition analysis (SCA) tools to flag vulnerable Black package versions
  • Review Python dependency files (requirements.txt, pyproject.toml, Pipfile) for vulnerable versions

Monitoring Recommendations

  • Set up alerts for prolonged CPU spikes on development and CI/CD infrastructure
  • Configure timeout thresholds for Black formatting operations to prevent indefinite hangs
  • Implement logging for Black execution times to establish baselines and detect anomalies
  • Monitor for process hangs or memory growth in formatting service containers

How to Mitigate CVE-2024-21503

Immediate Actions Required

  • Upgrade Black to version 24.3.0 or later immediately
  • Audit all projects and CI/CD configurations for Black version dependencies
  • Implement input validation for any workflows processing untrusted Python code with Black
  • Consider temporarily disabling automated Black formatting on untrusted code submissions until patched

Patch Information

The vulnerability has been addressed in Black version 24.3.0. The fix removes the problematic FIRST_NON_WHITESPACE_RE regular expression pattern and implements a more efficient algorithm for handling leading tabs in the lines_with_leading_tabs_expanded() function.

Patch details are available in the GitHub commit f00093672628d212b8965a8993cee8bedf5fe9b8 and the Black 24.3.0 release notes.

Workarounds

  • Avoid running Black on untrusted or externally-sourced Python code
  • Implement execution timeouts for Black processes to prevent indefinite CPU consumption
  • Use containerized environments with resource limits for code formatting operations
  • Sanitize input files by checking for excessive leading tab characters before formatting
bash
# Upgrade Black to the patched version
pip install --upgrade black>=24.3.0

# Verify installed version
black --version

# Update requirements.txt to enforce minimum version
echo "black>=24.3.0" >> requirements.txt

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

  • Vulnerability Details
  • TypeDOS

  • Vendor/TechBlack

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.06%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-1333

  • CWE-75
  • Technical References
  • GitHub Commit Update

  • GitHub Release 24.3.0

  • Snyk Vulnerability SNYK-PYTHON-BLACK-6256273
  • Related CVEs
  • CVE-2026-31900: Black Python Formatter RCE Vulnerability

  • CVE-2026-32274: Black Python Formatter Path Traversal
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