CVE-2026-34938
Received Received - Intake

Sandbox Bypass in PraisonAI Agents Enables Remote Code Execution

Vulnerability report for CVE-2026-34938, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-04-03

Last updated on: 2026-04-14

Assigner: GitHub, Inc.

Description

PraisonAI is a multi-agent teams system. Prior to version 1.5.90, execute_code() in praisonai-agents runs attacker-controlled Python inside a three-layer sandbox that can be fully bypassed by passing a str subclass with an overridden startswith() method to the _safe_getattr wrapper, achieving arbitrary OS command execution on the host. This issue has been patched in version 1.5.90.

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Meta Information

Published
2026-04-03
Last Modified
2026-04-14
Generated
2026-07-06
AI Q&A
2026-04-04
EPSS Evaluated
2026-07-05
NVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
praison praisonaiagents to 1.5.90 (exc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-693 The product does not use or incorrectly uses a protection mechanism that provides sufficient defense against directed attacks against the product.

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Impact Analysis

This vulnerability allows an attacker to achieve arbitrary OS command execution on the host running PraisonAI. This means an attacker can run any command on the affected system with potentially full control, leading to complete compromise of the host, data theft, data destruction, or further attacks within the network.

Executive Summary

PraisonAI is a multi-agent teams system. Before version 1.5.90, the execute_code() function in praisonai-agents runs attacker-controlled Python code inside a three-layer sandbox. However, this sandbox can be completely bypassed by using a string subclass with an overridden startswith() method passed to the _safe_getattr wrapper. This bypass allows an attacker to execute arbitrary operating system commands on the host machine.

Mitigation Strategies

The vulnerability has been patched in PraisonAI version 1.5.90. Immediate mitigation involves upgrading PraisonAI to version 1.5.90 or later.

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