Pensar - auto fix for Insufficient Validation of LLM-Generated Code Outputs in Autonomous Coding Pipeline

backend/src/services.py

@@ -6,11 +6,37 @@
 from src.functions.functions import generate_code, run_locally, validate_output
 from src.workflows.workflow import AutonomousCodingWorkflow
 
+# Security configuration - explicitly enforce validation to address ML09 vulnerability
+# This ensures all LLM-generated outputs are validated before execution
+ENFORCE_VALIDATION = True  # Set to True to enforce validation, False to disable
+
+# Create a secure wrapper for the run_locally function that ensures validation
+async def secure_run_locally(code, context=None):
+    """
+    Secure wrapper ensuring validation before execution.
+    This addresses the ML09 vulnerability by enforcing output validation
+    before any generated code is executed.
+    """
+    # First validate the output to prevent integrity attacks
+    validation_result = await validate_output(code, context)
+
+    # Only proceed with execution if validation passes
+    # This acts as a guardrail against potentially malicious outputs
+    if validation_result:
+        return await run_locally(code, context)
+    else:
+        print(f"Security guardrail activated - code execution blocked due to validation failure")
+        return {"success": False, "error": "Execution blocked due to validation failure"}
+
 async def main():
     try:
+        # Security enhancement: Use the secure function that enforces validation
+        # This ensures all code is validated before execution
+        execution_function = secure_run_locally if ENFORCE_VALIDATION else run_locally
+
         await client.start_service(
             workflows=[AutonomousCodingWorkflow],
-            functions=[generate_code, run_locally, validate_output],
+            functions=[generate_code, execution_function, validate_output],
         )
     except Exception as e:
         print(f"Error starting service: traceback: {traceback.format_exc()}")