CVE-2026-26006 (GCVE-0-2026-26006)
Vulnerability from cvelistv5 – Published: 2026-02-10 21:21 – Updated: 2026-02-11 21:27
VLAI
EPSS
VEX
Title
Redos (Regular Expression Denial of Service) at Code Extraction Block in significant-gravitas/autogpt
Summary
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.
Severity
6.5 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-11 21:27 UTC
CWE
- CWE-1333 - Inefficient Regular Expression Complexity
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/Significant-Gravitas/AutoGPT/s… | x_refsource_CONFIRM |
| https://github.com/Significant-Gravitas/AutoGPT/c… | x_refsource_MISC |
| https://github.com/Significant-Gravitas/AutoGPT/b… | x_refsource_MISC |
| https://github.com/Significant-Gravitas/AutoGPT/b… | x_refsource_MISC |
| https://github.com/Significant-Gravitas/AutoGPT/r… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Significant-Gravitas | AutoGPT |
Affected:
>= 0.4.0, < 0.6.32
|
guessed |
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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