This page is a fallback for search engines and cases when javascript fails or is disabled.
Please view this card in the library, where you can also find the rest of the plot4ai cards.
Could the AI system generate or execute unsafe code based on user input?
Could the AI system generate or execute unsafe code based on user input?
- LLMs capable of code generation (e.g., math solvers, dev assistants) may be exploited to generate and execute malicious code if user input is not properly isolated.
- Adversaries can craft prompts that cause the model to generate harmful code, such as importing modules, writing to disk, or leaking environment variables. If this code is executed directly (e.g., in a math or scripting agent), the attacker may achieve Remote Code Execution (RCE).
- Case studies such as MathGPT demonstrate how seemingly benign capabilities (e.g., formula evaluation) can be weaponized to access server resources or keys.
If you answered Yes then you are at risk
If you are not sure, then you might be at risk too
Recommendations
- Never run AI-generated code in the same environment as your application backend.
- Use containerization (e.g., Docker) with strict sandboxing, network isolation, and resource limits for code execution.
- Inspect AI-generated code before execution, and apply static analysis tools to flag dangerous patterns.
- Implement output sanitization to prevent exfiltration of sensitive data.
- Disable or severely limit code execution features unless explicitly required.