A comprehensive program for code security protection
Multi-layered protection strategies are recommended for code execution risks:
- sandbox isolation::
- Replacing the default eval: implementing the custom_sandbox function
- Using subprocess to run code in a separate process
- Setting resource limits (CPU/memory usage)
- Input Filtering::
- Detection of dangerous keywords (e.g. os.system)
- Restricting file access paths
- privilege control::
- Containerized deployment (Docker)
- Execution of accounts with low privileges
Realization Example:
def safe_sandbox(code):
if "import os" in code:
return "禁止系统调用",{}
# 其他安全检查逻辑...
Production environments are recommended to combine with orchestration tools such as Kubernetes to achieve automatic isolation.
This answer comes from the articleLangGraph CodeAct: generating code to help intelligences solve complex tasksThe
May not be reproduced without permission:AI productivity tools " How to avoid security risks when generating code for intelligences?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil