8.1
HIGH CVSS 3.1
CVE-2026-37008
CrewAI Sandbox Bypass via Python Runtime Manipulation
Description

CrewAI before fb2323b offers a Python blocklist approach that operates at the wrong level of abstraction, a different vulnerability than CVE-2026-2275. Import-time blocking of module names does not address the availability of Python's complete object graph. For example, calling ctypes.CDLL(None) loads the C library without relying in any import statements. In other words, a within-process sandbox cannot merely account for the import system and instead must account for the complete runtime of the Python interpreter.

INFO

Published Date :

Sept. 13, 2026, midnight

Last Modified :

Sept. 13, 2026, 8:42 p.m.

Remotely Exploit :

No

Source :

mitre
Affected Products

The following products are affected by CVE-2026-37008 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH 8254265b-2729-46b6-b9e3-3dfca2d5bfca
Solution
Update CrewAI to address incorrect abstraction level for Python blocklisting.
  • Update CrewAI to a version after fb2323b.
  • Implement runtime checks for complete Python interpreter.
  • Re-evaluate sandboxing to include runtime behaviors.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-37008 vulnerability anywhere in the article.

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.