Audit Log #4

Detailed audit information

Code Snippet

HIGH RISK - Auto-Solutions Generated

def execute_dynamic_rules(rule_string, context):
    # Evaluates business rules dynamically
    result = eval(rule_string, {}, context)
    return result

AI Auto-Generated Solutions

3 Options

Automatic Analysis Complete: The AI has detected code and automatically generated 3 alternative solutions. Original risk: 0.88

Basic Solution: Parameterization

Risk Level: 0.19 Improvement: 78%

Original Risk 0.88

New Risk 0.19

Corrected Code: (Click the code to edit directly)

def execute_dynamic_rules(rule_string, context):
    # Evaluates business rules dynamically
    result = eval(rule_string, {}, context)
    return result

Explanation:

Approach: Query parameterization

Replaces string concatenation with parameterized queries to prevent injection.

Intermediate Solution: Validation + Parameterization

Risk Level: 0.25 Improvement: 72%

Original Risk 0.88

New Risk 0.25

Corrected Code: (Click the code to edit directly)


# Validación de entrada
def validate_input(value):
    if not value or not isinstance(value, str):
        raise ValueError("Entrada inválida")
    # Sanitizar entrada
    return value.strip()

def execute_dynamic_rules(rule_string, context):
    # Evaluates business rules dynamically
    result = eval(rule_string, {}, context)
    return result

Explanation:

Approach: Input Validation + Parameterization

Adds input validation in addition to parameterization for greater security.

Advanced Solution: ORM + Full Validation

Risk Level: 0.26 Improvement: 70%

Original Risk 0.88

New Risk 0.26

Corrected Code: (Click the code to edit directly)


# Solución con ORM (SQLAlchemy)
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

Base = declarative_base()

class User(Base):
    __tablename__ = 'users'
    id = Column(Integer, primary_key=True)
    username = Column(String)
    
# Uso seguro con ORM
def get_user_safe(user_id):
    try:
        user = session.query(User).filter(User.id == user_id).first()
        return user
    except Exception as e:
        logger.error(f"Error: {e}")
        return None

Explanation:

Approach: ORM + Full Validation + Error Handling

Uses ORM (SQLAlchemy) for complete database abstraction with robust validation.

Review Required: Please review the AI-generated solutions and choose the most appropriate one for your use case. You can also edit any solution before applying it.

Audit Log #4

Code Snippet

AI Auto-Generated Solutions

Basic Solution: Parameterization

Intermediate Solution: Validation + Parameterization

Advanced Solution: ORM + Full Validation

Review Comments

Status

Approved

Risk Assessment

HIGH

Details

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