CVE-2026-40156
Received
Received - Intake
Untrusted File Load in PraisonAI Enables Arbitrary Code Execution
Publication date: 2026-04-10
Last updated on: 2026-04-20
Assigner: GitHub, Inc.
Description
Description
PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI automatically loads a file named tools.py from the current working directory to discover and register custom agent tools. This loading process uses importlib.util.spec_from_file_location and immediately executes module-level code via spec.loader.exec_module() without explicit user consent, validation, or sandboxing. The tools.py file is loaded implicitly, even when it is not referenced in configuration files or explicitly requested by the user. As a result, merely placing a file named tools.py in the working directory is sufficient to trigger code execution. This behavior violates the expected security boundary between user-controlled project files (e.g., YAML configurations) and executable code, as untrusted content in the working directory is treated as trusted and executed automatically. If an attacker can place a malicious tools.py file into a directory where a user or automated system (e.g., CI/CD pipeline) runs praisonai, arbitrary code execution occurs immediately upon startup, before any agent logic begins. This vulnerability is fixed in 4.5.128.
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| praison | praisonai | to 4.5.128 (exc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-829 | The product imports, requires, or includes executable functionality (such as a library) from a source that is outside of the intended control sphere. |
| CWE-94 | The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. |
| CWE-426 | The product searches for critical resources using an externally-supplied search path that can point to resources that are not under the product's direct control. |