CVE-2026-40288

Published: Apr 14, 2026 Last Modified: Apr 14, 2026
ExploitDB:
Other exploit source:
Google Dorks:
CRITICAL 9,8
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: none
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high

Description

AI Translation Available

PraisonAI is a multi-agent teams system. In versions below 4.5.139 of PraisonAI and 1.5.140 of praisonaiagents, the workflow engine is vulnerable to arbitrary command and code execution through untrusted YAML files. When praisonai workflow run <file.yaml> loads a YAML file with type: job, the JobWorkflowExecutor in job_workflow.py processes steps that support run: (shell commands via subprocess.run()), script: (inline Python via exec()), and python: (arbitrary Python script execution)—all without any validation, sandboxing, or user confirmation. The affected code paths include action_run() in workflow.py and _exec_shell(), _exec_inline_python(), and _exec_python_script() in job_workflow.py. An attacker who can supply or influence a workflow YAML file (particularly in CI pipelines, shared repositories, or multi-tenant deployment environments) can achieve full arbitrary command execution on the host system, compromising the machine and any accessible data or credentials. This issue has been fixed in versions 4.5.139 of PraisonAI and 1.5.140 of praisonaiagents.

EPSS (Exploit Prediction Scoring System)

Trend Analysis

EPSS (Exploit Prediction Scoring System)

Prevede la probabilità di sfruttamento basata su intelligence sulle minacce e sulle caratteristiche della vulnerabilità.

EPSS Score
0,0007
Percentile
0,2th
Updated

EPSS Score Trend (Last 3 Days)

78

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

Stable
Common Consequences
Security Scopes Affected:
Confidentiality Integrity Availability Non-Repudiation
Potential Impacts:
Execute Unauthorized Code Or Commands Dos: Crash, Exit, Or Restart Read Files Or Directories Modify Files Or Directories Read Application Data Modify Application Data Hide Activities
Applicable Platforms
Technologies: AI/ML, Not Technology-Specific, Web Server
View CWE Details
94

Improper Control of Generation of Code ('Code Injection')

Draft
Common Consequences
Security Scopes Affected:
Access Control Integrity Confidentiality Availability Non-Repudiation
Potential Impacts:
Bypass Protection Mechanism Gain Privileges Or Assume Identity Execute Unauthorized Code Or Commands Hide Activities
Applicable Platforms
Languages: Interpreted
Technologies: AI/ML
View CWE Details
https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-vc46-vw85-3…