CVE-2026-2275: CrewAI CodeInterpreter RCE Vulnerability

CVE-2026-2275 Overview

CVE-2026-2275 is a critical Remote Code Execution (RCE) vulnerability affecting the CrewAI CodeInterpreter tool. The vulnerability arises when the tool cannot establish a connection to Docker, triggering an automatic fallback to SandboxPython. This fallback mechanism exposes dangerous methods that allow attackers to call arbitrary C functions, effectively bypassing the intended sandboxing protections and enabling complete system compromise.

Critical Impact

This vulnerability enables unauthenticated attackers to achieve remote code execution by exploiting the insecure sandbox fallback mechanism, potentially leading to full system compromise, data exfiltration, and lateral movement within affected environments.

Affected Products

• CrewAI CodeInterpreter Tool (versions with SandboxPython fallback behavior)
• Systems running CrewAI where Docker connectivity is unreliable or unavailable
• AI/ML pipeline environments utilizing CrewAI code interpretation capabilities

Discovery Timeline

• 2026-03-30 - CVE CVE-2026-2275 published to NVD
• 2026-04-01 - Last updated in NVD database

Technical Details for CVE-2026-2275

Vulnerability Analysis

This vulnerability is classified under CWE-749 (Exposed Dangerous Method or Function). The CrewAI CodeInterpreter tool is designed to execute code in a sandboxed environment, typically leveraging Docker containers for isolation. However, when Docker is unavailable or unreachable, the tool silently falls back to using SandboxPython, which does not provide equivalent security guarantees.

The SandboxPython fallback exposes the ability to invoke arbitrary C functions through Python's foreign function interface mechanisms. This design flaw means that an attacker who can influence the code being interpreted—or who can manipulate the environment to prevent Docker connectivity—gains the ability to execute arbitrary native code on the host system.

The attack requires user interaction (network-based with user involvement), but once triggered, the vulnerability allows attackers to escape the intended sandbox entirely. The scope is changed, meaning successful exploitation can impact resources beyond the vulnerable component's security authority, affecting confidentiality, integrity, and availability of the underlying system.

Root Cause

The root cause is the implementation of an insecure fallback mechanism that does not maintain the same security properties as the primary execution environment. When the CodeInterpreter cannot reach Docker, it defaults to SandboxPython which exposes dangerous functionality—specifically, the ability to call arbitrary C functions. This represents a violation of the principle of secure defaults, as the fallback behavior significantly reduces security posture without adequate warning or user consent.

Attack Vector

The attack vector is network-based, requiring some form of user interaction. An attacker can exploit this vulnerability through several scenarios:

1. Direct code injection: If an attacker can influence the code submitted to the CodeInterpreter (e.g., through prompt injection in AI workflows), they can craft payloads that leverage the C function calling capability.

2. Environment manipulation: An attacker with network access could potentially disrupt Docker connectivity (e.g., through network attacks or DNS manipulation), forcing the fallback to SandboxPython.

3. Supply chain attacks: Malicious code embedded in dependencies or third-party AI agent workflows could exploit this vulnerability when executed through CrewAI.

Once the fallback is triggered, the attacker can use Python's ctypes module or similar mechanisms to load and execute arbitrary native code, achieving complete code execution outside the intended sandbox. For detailed technical information about the CodeInterpreter tool's architecture, refer to the CrewAI CodeInterpreter documentation and the CERT Vulnerability Report #221883.

Detection Methods for CVE-2026-2275

Indicators of Compromise

• Unexpected SandboxPython process spawning when Docker should be available
• Python processes making unusual ctypes or cffi library calls
• Suspicious network activity indicating attempts to block or disrupt Docker daemon connectivity
• Log entries indicating CodeInterpreter fallback behavior activation

Detection Strategies

• Monitor CrewAI application logs for Docker connectivity failures followed by sandbox fallback events
• Implement runtime application self-protection (RASP) to detect C function calls from Python sandboxed contexts
• Deploy network monitoring to identify attempts to disrupt Docker daemon communication
• Use endpoint detection and response (EDR) to flag unusual native code execution originating from Python interpreters

Monitoring Recommendations

• Configure alerts for any CodeInterpreter execution that does not occur within a Docker container
• Audit all code execution requests to the CodeInterpreter for potentially malicious payloads
• Monitor for ctypes.CDLL, ctypes.windll, or similar function calls in Python process memory
• Implement Docker health monitoring with immediate alerting on connectivity issues

How to Mitigate CVE-2026-2275

Immediate Actions Required

• Ensure Docker daemon is always available and reachable before allowing CodeInterpreter execution
• Disable or remove the SandboxPython fallback mechanism if possible through configuration
• Implement network segmentation to protect Docker daemon connectivity from manipulation
• Review and restrict access to CrewAI CodeInterpreter functionality to trusted users and workflows only

Patch Information

Organizations should monitor the CrewAI documentation and the CERT Vulnerability Report #221883 for official security patches and updates addressing this vulnerability. Apply vendor-provided patches as soon as they become available. In the interim, implement the workarounds and monitoring strategies outlined below to reduce exposure.

Workarounds

• Implement a pre-execution check that fails closed if Docker is unavailable rather than falling back to SandboxPython
• Deploy CrewAI in environments with redundant Docker infrastructure to minimize fallback scenarios
• Use application-layer firewalls to restrict the CodeInterpreter's ability to make dangerous system calls
• Consider running CrewAI itself within an additional isolation layer (e.g., VM or hardened container) to limit blast radius

# Configuration example - Ensure Docker is running before CrewAI execution
#!/bin/bash
# Pre-flight check script for CrewAI deployment

# Verify Docker daemon is accessible
if ! docker info > /dev/null 2>&1; then
    echo "ERROR: Docker daemon is not accessible. Refusing to start CrewAI."
    echo "This prevents fallback to insecure SandboxPython execution."
    exit 1
fi

# Verify Docker connectivity is stable
if ! docker run --rm hello-world > /dev/null 2>&1; then
    echo "ERROR: Docker cannot run containers. Check configuration."
    exit 1
fi

echo "Docker verification passed. Safe to proceed with CrewAI."