Security Risk: Unfiltered LLM Output May Lead to Arbitrary File Write

[glmgbj233]

File Paths:
/engy/src/engy/produce_files.py
/engy/src/engy/app_builder.py

Risk Description:
The current implementation writes LLM-generated content directly to files without proper validation or sanitization. This introduces multiple risks:

1. Path Traversal Attacks — Malicious filenames such as ../../malicious.py could lead to unauthorized file access or overwrite.
2. Executable Code Injection — Malicious code could be injected into output files, leading to security breaches if executed.
3. Overwriting Critical Files — Important system or project files could be unintentionally or maliciously overwritten.

Vulnerable Code Patterns:

1. In produce_files.py:

# No validation on filename or content
with open(filename, "w") as f:
    f.write(block_content) 

2. In app_builder.py:

# Directly passes LLM output to produce_files()
produce_files(responses[0])  

Suggested Fixes:

1. Validate Filenames: Enforce a whitelist of allowed file extensions and prevent directory traversal (e.g., reject ../ or absolute paths).
2. Scan File Content: Use regex or static analysis to detect and block potentially harmful content such as executable code.
3. Restrict Write Locations: Limit all file writes to a controlled, sandboxed directory to contain potential damage.
4. User Confirmation: Prompt the user for confirmation before creating or overwriting files, especially outside the default workspace.