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CVE-2026-26006 - Impassible Eases

Description

AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. The autogpt before 0.6.32 is vulnerable to Regular Expression Denial of Service due to the use of regex at Code Extraction Block. The two Regex are used containing the corresponding dangerous patterns \s+[\s\S]? and \s+(.?). They share a common characteristic — the combination of two adjacent quantifiers that can match the same space character (\s). As a result, an attacker can supply a long sequence of space characters to trigger excessive regex backtracking, potentially leading to a Denial of Service (DoS). This vulnerability is fixed in 0.6.32.

CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Reference

https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform/backend/backend/blocks/code_extraction_block.py#L106-L109 https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform/backend/backend/blocks/code_extraction_block.py#L86-L96 https://github.com/Significant-Gravitas/AutoGPT/commit/57a06f70883ce6be18738c6ae8bb41085c71e266 https://github.com/Significant-Gravitas/AutoGPT/releases/tag/autogpt-platform-beta-v0.6.32 https://github.com/Significant-Gravitas/AutoGPT/security/advisories/GHSA-m2wr-7m3r-p52c

Attack Complexity

LOW

Privileges Required

LOW

User Interaction Required

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

Base Score

6.5

Base Severity

MEDIUM

Remediation Step-by-Step Guide

  1. Identify Affected Systems
    • Inventory all instances of AutoGPT in use within your environment.
    • Verify version numbers; identify any installations below v0.6.32.
  2. Backup Configuration and Data
    • Before upgrading, create full backups of configuration files, agent definitions, and workflow data.
  3. Upgrade AutoGPT to v0.6.32 or Higher
    • Pull the latest release from the official AutoGPT repository (e.g., GitHub).
    • Replace existing binaries or reinstall using package managers (pip, docker, etc.) with the updated version.
    • Example command: pip install --upgrade autogpt
  4. Validate the Upgrade
    • Restart AutoGPT services to ensure proper loading of the updated version.
    • Confirm version number via CLI or UI: autogpt --version
  5. Review and Patch Custom Code
    • If custom plugins or integrations use the vulnerable regex patterns (\s+[\s\S]? and \s+(.?)), refactor them to avoid nested quantifiers.
    • Replace with safer alternatives such as ^\s+$ or use non-backtracking patterns where possible.
  6. Test for Denial of Service Resistance
    • Simulate a DoS attack using long strings of spaces (e.g., 10,000+ spaces) in input fields or agent prompts.
    • Monitor CPU usage and response times; ensure system remains responsive.
  7. Update Monitoring and Alerting
    • Configure logs to capture regex-related errors or excessive processing times.
    • Set up alerts for unusual resource consumption during agent execution.
  8. Document and Communicate
    • Update internal documentation to reflect the patch.
    • Notify stakeholders and users that the vulnerability has been mitigated.
  9. Conduct a Post-Mortem Review
    • Evaluate how the vulnerable version was deployed and whether patch management processes need improvement.

Context within ISO/IEC 27001 and NIST Frameworks

ISO/IEC 27001 Control Mapping

  • A.12.1.3 – Capacity Management
    The vulnerability enables resource exhaustion via DoS, directly impacting system availability. ISO/IEC 27001 requires organizations to ensure systems maintain adequate capacity under expected load. Remediation ensures continued service availability.

  • A.14.2.5 – Secure Development Policy
    Use of vulnerable regex patterns indicates a failure in secure coding practices. This control mandates the adoption of secure development lifecycles, including code reviews and vulnerability scanning — both of which would have identified the regex flaw.

  • A.12.6.1 – Technical Vulnerability Management
    This control requires systematic identification, evaluation, and remediation of technical vulnerabilities. The upgrade to v0.6.32 fulfills the requirement for timely patching of known vulnerabilities.

NIST SP 800-53 Control Mapping

  • SI-2 – System and Communications Protection: Vulnerability Scanning
    Regular scanning would have detected the outdated AutoGPT version and its known CVE. Scheduled scans are required to identify unpatched systems.

  • SI-4 – System and Communications Protection: Security Monitoring
    Monitoring for abnormal resource usage (e.g., CPU spikes during agent execution) would trigger alerts for potential DoS attempts.

  • SI-10 – System and Communications Protection: Malicious Code Protection
    Though not malware, the regex-based DoS is a form of malicious input exploitation. This control requires defenses against intentional abuse of system components.

  • SA-11 – System and Software Acquisition: Secure Development Practices
    The vulnerability stems from insecure coding practices. NIST requires acquisition of software that adheres to secure development standards — including validation of third-party dependencies.

  • RA-5 – Risk Assessment: Vulnerability Scanning
    Organizations must assess vulnerabilities in deployed systems. Failure to update AutoGPT reflects a gap in ongoing risk assessment and mitigation processes.