PraisonAI Multiple Code Execution and Path Traversal

Path traversal in PraisonAI multi-agent teams system (versions prior to 4.5.128) enables arbitrary file overwrite through malicious .praison archive bundles. The cmd_unpack function in recipe CLI performs unvalidated tar extraction, allowing attackers to embed ../ path sequences that escape the intended extraction directory. Unauthenticated attackers can distribute weaponized bundles that, when unpacked by victims via 'praisonai recipe unpack' command, overwrite critical system files with attacker-controlled content. No public exploit identified at time of analysis.

Arbitrary code execution in PraisonAI multi-agent system (<4.5.128) via Python sandbox escape. Incomplete AST attribute filtering allows type.__getattribute__ trampoline to bypass restrictions on __subclasses__, __globals__, and __bases__, enabling untrusted agent code to break containment. Attack requires local access and user interaction to execute malicious code. No public exploit identified at time of analysis.

Arbitrary code execution occurs in PraisonAI (all versions prior to 4.5.128) when a malicious tools.py file exists in the working directory. The framework automatically imports and executes this file during startup without validation or user consent, enabling unauthenticated local attackers to execute arbitrary Python code by placing a weaponized tools.py in directories accessed by users or CI/CD pipelines. User interaction is required (running praisonai command). No public exploit identified at time of analysis.

Server-Side Request Forgery (SSRF) in PraisonAIAgents versions prior to 1.5.128 allows unauthenticated attackers to manipulate LLM agents into crawling arbitrary internal URLs. The httpx fallback crawler accepts user-supplied URLs without host validation and follows redirects, enabling access to cloud metadata endpoints (169.254.169.254), internal services, and localhost. Response content is returned to the agent and may be exposed in attacker-visible output. This vulnerability is the default behavior on fresh installations without Tavily API keys or Crawl4AI dependencies. No public exploit identified at time of analysis.

PraisonAI before version 4.5.128 exposes sensitive environment variables to untrusted subprocess commands executed through its MCP (Model Context Protocol) integration, enabling credential theft and supply chain attacks when third-party tools like npx packages are invoked. An unauthenticated local attacker with user interaction can trigger MCP commands that inherit the parent process environment, gaining access to API keys, authentication tokens, and database credentials without the knowledge of developers using PraisonAI. The vulnerability is fixed in version 4.5.128.