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-2026-34593

CVE-2026-34593: Ash Framework DoS Vulnerability

CVE-2026-34593 is a denial of service vulnerability in Ash Framework that allows attackers to exhaust the Erlang atom table and crash the BEAM VM. This article covers technical details, affected versions, and mitigation.

Published: April 2, 2026

CVE-2026-34593 Overview

A resource exhaustion vulnerability exists in the Ash Framework, a declarative, extensible framework for building Elixir applications. Prior to version 3.22.0, the Ash.Type.Module.cast_input/2 function unconditionally creates a new Erlang atom via Module.concat([value]) for any user-supplied binary string that starts with "Elixir.", before verifying whether the referenced module exists. Because Erlang atoms are never garbage-collected and the BEAM atom table has a hard default limit of approximately 1,048,576 entries, an attacker who can submit values to any resource attribute or argument of type :module can exhaust this table and crash the entire BEAM VM, taking down the application.

Critical Impact

An unauthenticated attacker can crash the entire BEAM virtual machine by exhausting the atom table, causing a complete denial of service for all applications running on the VM.

Affected Products

  • Ash Framework versions prior to 3.22.0
  • Elixir applications using the :module type for resource attributes or arguments
  • Any BEAM-based application using vulnerable Ash Framework versions

Discovery Timeline

  • 2026-04-02 - CVE CVE-2026-34593 published to NVD
  • 2026-04-02 - Last updated in NVD database

Technical Details for CVE-2026-34593

Vulnerability Analysis

This vulnerability is classified as CWE-400 (Uncontrolled Resource Consumption). The root issue lies in how the Ash Framework handles module type casting without proper validation. When processing user input, the framework attempts to create atoms dynamically without first checking if the corresponding module exists.

The BEAM virtual machine (Erlang's runtime) has a fundamental architectural characteristic: atoms are interned and never garbage-collected. This design decision, while beneficial for performance in normal operations, creates a critical attack surface when atom creation can be influenced by untrusted input. The default atom table limit of approximately 1,048,576 entries becomes a hard ceiling that, once reached, causes the entire VM to crash.

The vulnerability is exploitable over the network without requiring authentication or user interaction, though some attack complexity exists due to the need to identify and target appropriate input vectors.

Root Cause

The vulnerability stems from improper input validation in the Ash.Type.Module.cast_input/2 function. The function calls Module.concat([value]) on user-supplied binary strings that begin with "Elixir." without first verifying that the module exists. This creates a new atom in the BEAM atom table for each unique string submitted, regardless of whether the module is valid. Since atoms are never garbage-collected, repeated requests with unique values will eventually exhaust the atom table.

Attack Vector

The attack can be executed remotely over the network by any attacker who can submit values to resource attributes or arguments configured with the :module type. The attacker sends HTTP requests containing unique strings prefixed with "Elixir." to endpoints that process these module-type inputs. Each unique string creates a new atom, and by sending approximately one million unique values, the attacker can exhaust the atom table and crash the entire BEAM VM.

The attack mechanism involves systematically generating unique module-like strings (e.g., "Elixir.Attacker.Module1", "Elixir.Attacker.Module2", etc.) and submitting them through vulnerable input vectors. The attack does not require any special privileges or authentication, making it particularly dangerous for publicly accessible Elixir applications.

Detection Methods for CVE-2026-34593

Indicators of Compromise

  • Unusual growth in BEAM atom table utilization approaching the 1,048,576 limit
  • High volume of requests containing unique "Elixir." prefixed strings in module-type parameters
  • BEAM VM crashes with atom table exhaustion errors in logs
  • Abnormal patterns of input values to endpoints accepting module types

Detection Strategies

  • Monitor atom table usage using :erlang.system_info(:atom_count) and alert when approaching thresholds
  • Implement rate limiting on endpoints that accept module-type inputs
  • Log and analyze patterns of unique module names submitted to the application
  • Deploy web application firewalls (WAF) to detect high-volume requests with suspicious patterns

Monitoring Recommendations

  • Set up alerts for atom table usage exceeding 80% of the default limit (approximately 838,000 atoms)
  • Monitor application restart frequency which may indicate successful DoS attacks
  • Track unique input values per session/IP to identify potential exploitation attempts
  • Implement centralized logging to correlate attack patterns across multiple application instances

How to Mitigate CVE-2026-34593

Immediate Actions Required

  • Upgrade Ash Framework to version 3.22.0 or later immediately
  • Audit applications to identify all uses of the :module type in resource attributes and arguments
  • Implement input validation to whitelist allowed module names before processing
  • Consider rate limiting on affected endpoints as a temporary measure

Patch Information

The vulnerability has been patched in Ash Framework version 3.22.0. The fix ensures proper validation before atom creation, preventing untrusted input from exhausting the atom table. Users should upgrade to this version or later as soon as possible.

For detailed patch information, refer to the GitHub Release v3.22.0 and the GitHub Security Advisory GHSA-jjf9-w5vj-r6vp.

Workarounds

  • Replace :module type attributes with string types and implement manual validation against an allowlist of permitted modules
  • Implement application-level input validation to reject module names not matching known valid modules
  • Increase the BEAM atom table limit using the +t flag (e.g., +t 2097152) as a temporary measure, though this only delays exhaustion
  • Deploy network-level rate limiting to reduce the speed at which an attacker can exhaust the atom table
bash
# Configuration example - increase BEAM atom table limit (temporary workaround)
# Add to your VM args file (vm.args or rel/vm.args.eex)
+t 2097152

# Or set via environment variable when starting the application
ERL_FLAGS="+t 2097152" mix phx.server

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

  • Vulnerability Details
  • TypeDOS

  • Vendor/TechAsh

  • SeverityHIGH

  • CVSS Score8.2

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/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
  • AvailabilityHigh
  • CWE References
  • CWE-400
  • Technical References
  • GitHub Release v3.22.0

  • GitHub Security Advisory GHSA-jjf9-w5vj-r6vp
  • Latest CVEs
  • CVE-2026-40322: SiYuan Knowledge Management RCE Vulnerability

  • CVE-2026-40318: SiYuan Path Traversal Vulnerability

  • CVE-2026-40259: SiYuan Auth Bypass Vulnerability

  • CVE-2026-40255: AdonisJS HTTP Server CSRF 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