CVE-2026-61446 Overview
CVE-2026-61446 is a remote code execution vulnerability in PraisonAI (praisonaiagents) versions prior to 1.6.78. The flaw resides in the plugin manager, which automatically loads and executes arbitrary Python files from .praisonai/plugins/ directories at the project and user-home level. The plugin manager uses importlib.spec_from_file_location() and exec_module() without code signing, integrity verification, or sandboxing. An attacker who can drop a malicious .py file into a plugin directory achieves arbitrary code execution when the plugin system initializes. The vulnerability is classified as CWE-94: Improper Control of Generation of Code.
Critical Impact
Any writable path to a monitored plugin directory results in arbitrary Python code execution in the context of the PraisonAI process on initialization.
Affected Products
- PraisonAI praisonaiagents package versions prior to 1.6.78
- Applications embedding the PraisonAI agent framework
- Multi-user or shared systems running PraisonAI where .praisonai/plugins/ is writable
Discovery Timeline
- 2026-07-15 - CVE-2026-61446 published to NVD
- 2026-07-15 - Last updated in NVD database
Technical Details for CVE-2026-61446
Vulnerability Analysis
PraisonAI implements a plugin auto-discovery mechanism that scans two directory locations at startup: the project-level .praisonai/plugins/ and the user-home .praisonai/plugins/ directory. Any Python file placed in these paths is loaded as a plugin module. The framework treats these files as trusted extension points rather than untrusted input.
The loader relies on importlib.util.spec_from_file_location() to build a module spec from the discovered file path, then calls loader.exec_module() to execute the module body. Because Python module execution runs top-level statements immediately, any code in the file — including imports, class definitions with side effects, and direct function calls — executes at load time.
The framework performs no cryptographic signature check, hash validation, allowlist enforcement, or sandbox isolation. Execution occurs with the full privileges of the PraisonAI host process. See the GitHub Security Advisory GHSA-m6wp-h223-4c8g for maintainer-provided technical detail.
Root Cause
The root cause is unsafe dynamic code loading from user-writable filesystem locations without integrity controls. The design assumes plugin directories contain only trusted developer-authored files. This assumption breaks whenever another process, user, or dependency can write into those directories.
Attack Vector
An attacker needs write access to a monitored plugin directory. Realistic delivery paths include path traversal in a co-resident application, a supply chain attack that ships a malicious plugin file with a package, or a compromised transitive dependency writing to ~/.praisonai/plugins/. Once the file is present, code executes on the next PraisonAI startup or plugin manager initialization. No user interaction or authentication is required at execution time.
Refer to the VulnCheck advisory for PraisonAI plugin auto-discovery RCE for further exploitation context.
Detection Methods for CVE-2026-61446
Indicators of Compromise
- Creation or modification of .py files under .praisonai/plugins/ in project directories or user home directories that were not deployed by a known administrator process.
- Unexpected child processes spawned by the Python interpreter hosting PraisonAI, such as shells, network utilities, or credential-access tools.
- Outbound network connections originating from the PraisonAI process to unrecognized hosts shortly after startup.
Detection Strategies
- Monitor filesystem events on ~/.praisonai/plugins/ and <project>/.praisonai/plugins/ paths for file create and write events.
- Baseline the expected plugin file set per host and alert on drift, including new file names, hash changes, and mtime updates.
- Inspect PraisonAI process lineage for anomalous execve calls issued during interpreter startup.
Monitoring Recommendations
- Enable audit logging on Python processes that load PraisonAI and capture module load telemetry where available.
- Correlate package installation events with subsequent plugin directory changes to identify dependency-delivered payloads.
- Track version metadata for praisonaiagents across the environment and alert on any host still running a release below 1.6.78.
How to Mitigate CVE-2026-61446
Immediate Actions Required
- Upgrade praisonaiagents to version 1.6.78 or later on every host and container image.
- Audit both project-level and user-home .praisonai/plugins/ directories and remove any .py file not sourced from a verified repository.
- Restrict write permissions on plugin directories to a dedicated administrative account and deny write access to service accounts and untrusted users.
Patch Information
The maintainers fixed the issue in praisonaiagents release 1.6.78. Upgrade using pip install --upgrade 'praisonaiagents>=1.6.78' and rebuild any container images that pin an earlier version. Review the GitHub Security Advisory GHSA-m6wp-h223-4c8g for the fixed release notes.
Workarounds
- Remove the .praisonai/plugins/ directories on hosts that do not require plugin functionality, and use filesystem ACLs to prevent recreation.
- Run PraisonAI under a dedicated low-privilege user account inside a container or namespace with read-only mounts for the home directory.
- Deploy application-level allowlists that compare plugin file hashes against a signed manifest before permitting the process to start.
# Example: lock down plugin directories on Linux hosts
chown -R root:root ~/.praisonai/plugins
chmod 555 ~/.praisonai/plugins
find ~/.praisonai/plugins -type f -name '*.py' -exec sha256sum {} \; > plugins.manifest
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
