PraisonAI: Coarse-Grained Tool Approval Cache Bypasses Per-Invocation Consent for Shell Commands

Summary The approval system in PraisonAI Agents caches tool approval decisions by tool name only, not by invocation arguments. Once a user approves executecommand for any command e.g., ls -la, all subsequent executecommand calls in that execution context bypass the approval prompt entirely...

Information Exposure

Overview praisonaiagents is a Praison AI agents for completing complex tasks with Self Reflection Agents Affected versions of this package are vulnerable to Information Exposure via the subprocess module. An attacker can access sensitive environment variables, including API keys and credentials, ...

EUVD-2026-21511

PraisonAI Vulnerable to Sensitive Environment Variable Exposure via Untrusted MCP Subprocess Execution...

PraisonAI Vulnerable to Sensitive Environment Variable Exposure via Untrusted MCP Subprocess Execution

PraisonAI’s MCP Model Context Protocol integration allows spawning background servers via stdio using user-supplied command strings e.g., MCP"npx -y @smithery/cli ...". These commands are executed through Python’s subprocess module. By default, the implementation forwards the entire parent proces...

GHSA-PJ2R-F9MW-VRCQ PraisonAI Vulnerable to Sensitive Environment Variable Exposure via Untrusted MCP Subprocess Execution

PraisonAI’s MCP Model Context Protocol integration allows spawning background servers via stdio using user-supplied command strings e.g., MCP"npx -y @smithery/cli ...". These commands are executed through Python’s subprocess module. By default, the implementation forwards the entire parent proces...

Command Injection

Overview praisonaiagents is a Praison AI agents for completing complex tasks with Self Reflection Agents Affected versions of this package are vulnerable to Command Injection in the subprocess.run function due to passing user-controlled input directly to the shell with shell=True and without any...

PraisonAIAgents has an OS Command Injection via shell=True in Memory Hooks Executor (memory/hooks.py)

Summary The memory hooks executor in praisonaiagents passes a user-controlled command string directly to subprocess.run with shell=True at src/praisonai-agents/praisonaiagents/memory/hooks.py lines 303 to 305. No sanitization, no shlex.quote, no character filter, and no allowlist check exists...

GHSA-V7PX-3835-7GJX PraisonAIAgents has an OS Command Injection via shell=True in Memory Hooks Executor (memory/hooks.py)

Summary The memory hooks executor in praisonaiagents passes a user-controlled command string directly to subprocess.run with shell=True at src/praisonai-agents/praisonaiagents/memory/hooks.py lines 303 to 305. No sanitization, no shlex.quote, no character filter, and no allowlist check exists...

CVE-2026-40159

PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI’s MCP Model Context Protocol integration allows spawning background servers via stdio using user-supplied command strings e.g., MCP"npx -y @smithery/cli ...". These commands are executed through Python’s subprocess module. By...

CVE-2026-40159 PraisonAI Exposes Sensitive Environment Variable via Untrusted MCP Subprocess Execution

PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI’s MCP Model Context Protocol integration allows spawning background servers via stdio using user-supplied command strings e.g., MCP"npx -y @smithery/cli ...". These commands are executed through Python’s subprocess module. By...

CVE-2026-40159 PraisonAI Exposes Sensitive Environment Variable via Untrusted MCP Subprocess Execution

PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI’s MCP Model Context Protocol integration allows spawning background servers via stdio using user-supplied command strings e.g., MCP"npx -y @smithery/cli ...". These commands are executed through Python’s subprocess module. By...

CVE-2026-40159 PraisonAI Exposes Sensitive Environment Variable via Untrusted MCP Subprocess Execution

PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI’s MCP Model Context Protocol integration allows spawning background servers via stdio using user-supplied command strings e.g., MCP"npx -y @smithery/cli ...". These commands are executed through Python’s subprocess module. By...

CVE-2026-40159

PraisonAI's MCP integration (before 4.5.128) spawns background processes via stdio using user-supplied commands, and forwards the full parent environment to the subprocess. This allows any MCP invocation to inherit sensitive variables (API keys, tokens, database credentials), enabling potential c...

CVE-2026-39888

PraisonAI is a multi-agent teams system. Prior to 1.5.115, executecode in praisonaiagents.tools.pythontools defaults to sandboxmode="sandbox", which runs user code in a subprocess wrapped with a restricted builtins dict and an AST-based blocklist. The AST blocklist embedded inside the subprocess...

CVE-2026-40159: Exposure of Sensitive Information to an Unauthorized Actor

PraisonAI is a multi-agent teams system. Prior to 4.5.128, PraisonAI’s MCP Model Context Protocol integration allows spawning background servers via stdio using user-supplied command strings e.g., MCP"npx -y @smithery/cli ...". These commands are executed through Python’s subprocess module. By...

PT-2026-31996

Name of the Vulnerable Software and Affected Versions PraisonAI versions prior to 4.5.128 Description PraisonAI’s Model Context Protocol MCP integration allows spawning background servers via stdio using user-supplied command strings, such as MCP"npx -y @smithery/cli ...". These commands are...

PT-2026-33895

Summary The approval system in PraisonAI Agents caches tool approval decisions by tool name only, not by invocation arguments. Once a user approves execute command for any command e.g., ls -la, all subsequent execute command calls in that execution context bypass the approval prompt entirely...

PraisonAI 操作系统命令注入漏洞

PraisonAI is a low-code multi-agent collaboration framework developed by Mervin Praison. Versions of PraisonAI prior to 1.5.128 contained a vulnerability related to operating system command injection. This vulnerability stemmed from the memory hook executor directly passing user-controlled comman...

GHSA-2763-CJ5R-C79M PraisonAI Vulnerable to OS Command Injection

The executecommand function and workflow shell execution are exposed to user-controlled input via agent workflows, YAML definitions, and LLM-generated tool calls, allowing attackers to inject arbitrary shell commands through shell metacharacters. --- Description PraisonAI's workflow system and...

CVE-2026-39888 PraisonAIAgents has a sandbox escape via exception frame traversal in `execute_code` (subprocess mode)

PraisonAI is a multi-agent teams system. Prior to 1.5.115, executecode in praisonaiagents.tools.pythontools defaults to sandboxmode="sandbox", which runs user code in a subprocess wrapped with a restricted builtins dict and an AST-based blocklist. The AST blocklist embedded inside the subprocess...