PraisonAI Plugin Manager Remote Code Execution Vulnerability (CVE-2026-61446)
PraisonAI (praisonaiagents) versions prior to 1.6.78 are susceptible to a remote code execution vulnerability residing in the plugin manager's handling of Python files, where it loads and executes arbitrary .py files from specific plugin directories without implementing crucial security measures, allowing an attacker who can place a malicious .py file to achieve arbitrary code execution upon plugin system initialization.
CVE search metadata
CVE search record: CVE-2026-61446. Severity: high. CVSS: 8.4. KEV: no. Product: praisonaiagents < 1.6.78. Brief: PraisonAI Plugin Manager Remote Code Execution Vulnerability (CVE-2026-61446). Brief link: https://feed.craftedsignal.io/briefs/2026-07-praisonai-rce/
A critical remote code execution (RCE) vulnerability, tracked as CVE-2026-61446, exists in PraisonAI (praisonaiagents) versions before 1.6.78. This flaw is located within the plugin manager, which insecurely loads and executes arbitrary Python (.py) files from project-level and user-home .praisonai/plugins/ directories. The manager utilizes importlib.spec_from_file_location() and exec_module() without performing essential security checks such as code signing, integrity verification, or sandboxing. This means that if an attacker can introduce a malicious .py file into these designated plugin directories - for instance, through a path traversal attack, a supply chain compromise affecting dependencies, or by leveraging a previously compromised system - they can achieve arbitrary code execution. When the PraisonAI plugin system initializes or reloads, the malicious code will be executed with the privileges of the PraisonAI application, posing a significant risk to the integrity and confidentiality of the affected system.
Attack Chain
- Pre-Exploitation Access: An attacker gains the ability to write files to PraisonAI plugin directories (e.g.,
/project-level/.praisonai/plugins/or/user-home/.praisonai/plugins/) via a separate vulnerability such as path traversal, a compromised dependency, or a broader supply chain attack. - Payload Crafting: The attacker develops a malicious Python (.py) file containing arbitrary code designed to achieve their objectives (e.g., establish persistence, exfiltrate data, escalate privileges).
- Payload Placement: The attacker uploads or injects the crafted malicious .py file into one of the designated PraisonAI plugin directories.
- Plugin System Initialization/Reload: The PraisonAI application is started, restarted, or triggers a plugin reload operation, causing its plugin manager to scan and process files within the plugin directories.
- Insecure Module Loading: The PraisonAI plugin manager identifies the malicious .py file and, lacking proper security validation, uses
importlib.spec_from_file_location()to create a module specification andexec_module()to load and execute the file. - Arbitrary Code Execution: The arbitrary code embedded within the attacker's malicious Python file is executed on the host system with the same privileges as the PraisonAI application.
- Post-Exploitation Activities: With arbitrary code execution, the attacker can proceed to establish persistence, compromise sensitive data, pivot to other systems, or deploy additional malicious payloads.
Impact
Successful exploitation of CVE-2026-61446 leads to complete arbitrary code execution on the server hosting the PraisonAI application, as indicated by its CVSS v3.1 Base Score of 8.4 (High). This can result in significant damage, including unauthorized access to sensitive data, system compromise, installation of further malware (such as ransomware or backdoors), and disruption of critical business operations. Organizations using affected PraisonAI versions are at risk of severe breaches if an attacker can achieve the necessary precondition to place a malicious file in the plugin directories.
Recommendation
- Patch CVE-2026-61446 immediately: Upgrade PraisonAI (praisonaiagents) to version 1.6.78 or newer to remediate the vulnerability.
- Monitor file system events: Enable file event logging for the PraisonAI plugin directories (e.g.,
/.praisonai/plugins/) to detect unauthorized file writes or modifications, as described in the attack chain. - Implement process creation monitoring: Monitor process creation events originating from the PraisonAI application process for unusual child processes (e.g., cmd.exe, powershell.exe, bash) that could indicate arbitrary code execution.