""" This module provides functions to strengthen existing quality gates against adversarial attacks. It includes methods for analyzing gate evasion findings and applying appropriate hardening techniques. """ import logging from typing import List, Dict, Callable # Configure logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') class GateStrengthener: """ A class to strengthen quality gates based on evasion findings. """ def __init__(self, evasion_findings: List[Dict], gate_config: Dict): """ Initializes the GateStrengthener with evasion findings and gate configuration. Args: evasion_findings (List[Dict]): A list of dictionaries, where each dictionary represents a gate evasion finding. Each dictionary should contain information about the type of attack, the affected gate, and the adversarial input. gate_config (Dict): A dictionary containing the configuration of the quality gate being strengthened. This might include thresholds, policies, etc. """ self.evasion_findings = evasion_findings self.gate_config = gate_config self.hardening_strategies = { "threshold_breach": self._harden_threshold, "policy_violation": self._harden_policy, "input_manipulation": self._harden_input } def strengthen_gate(self) -> Dict: """ Strengthens the quality gate based on the provided evasion findings. Returns: Dict: A dictionary containing the updated gate configuration. Returns an empty dictionary if no evasion findings are provided or if no suitable hardening strategy is found. """ if not self.evasion_findings: logging.info("No evasion findings provided. Gate strengthening not required.") return {} for finding in self.evasion_findings: attack_type = finding.get("attack_type") # e.g., "threshold_breach", "policy_violation" if not attack_type: logging.warning(f"Evasion finding missing 'attack_type': {finding}") continue hardening_strategy = self.hardening_strategies.get(attack_type) if hardening_strategy: logging.info(f"Applying hardening strategy for attack type: {attack_type}") self.gate_config = hardening_strategy(finding) else: logging.warning(f"No hardening strategy found for attack type: {attack_type}") return self.gate_config def _harden_threshold(self, finding: Dict) -> Dict: """ Hardens the gate by adjusting thresholds based on the evasion finding. Args: finding (Dict): The evasion finding dictionary. Returns: Dict: The updated gate configuration. """ threshold_name = finding.get("threshold_name") evasion_value = finding.get("evasion_value") # The value that bypassed the original threshold. severity = finding.get("severity", "medium").lower() #low, medium, high. Defaults to medium if not threshold_name or evasion_value is None: logging.warning(f"Threshold name or evasion value missing from finding: {finding}") return self.gate_config try: evasion_value = float(evasion_value) # Ensure it's a number except ValueError: logging.error(f"Invalid evasion value: {evasion_value}. Skipping threshold adjustment.") return self.gate_config # Adjust threshold based on severity. More severe, greater adjustment. adjustment_factor = { "low": 0.05, "medium": 0.10, "high": 0.15 }.get(severity, 0.10) #defaults to medium's factor # Example: Increase threshold by a percentage of the evaded value if threshold_name in self.gate_config: original_threshold = self.gate_config[threshold_name] try: original_threshold = float(original_threshold) new_threshold = original_threshold + (evasion_value * adjustment_factor) #Example adjustment self.gate_config[threshold_name] = new_threshold logging.info(f"Adjusted threshold '{threshold_name}' from {original_threshold} to {new_threshold}") except (ValueError, TypeError): logging.error(f"Invalid threshold value for '{threshold_name}': {original_threshold}. Skipping threshold adjustment.") return self.gate_config else: logging.warning(f"Threshold '{threshold_name}' not found in gate configuration.") return self.gate_config def _harden_policy(self, finding: Dict) -> Dict: """ Hardens the gate by adjusting policies based on the evasion finding. Args: finding (Dict): The evasion finding dictionary. Returns: Dict: The updated gate configuration. """ policy_name = finding.get("policy_name") violation_details = finding.get("violation_details") if not policy_name: logging.warning(f"Policy name missing from finding: {finding}") return self.gate_config if policy_name in self.gate_config: # Example: Add exception or refine the policy based on violation details if violation_details: logging.info(f"Refining policy '{policy_name}' based on violation details: {violation_details}") self.gate_config[policy_name] = self._refine_policy(self.gate_config[policy_name], violation_details) else: logging.warning(f"No violation details provided for policy '{policy_name}'.") else: logging.warning(f"Policy '{policy_name}' not found in gate configuration.") return self.gate_config def _refine_policy(self, original_policy: str, violation_details: str) -> str: """ Refines the provided policy based on violation details. This is a placeholder and should be implemented with specific policy refinement logic. Args: original_policy (str): The original policy string. violation_details (str): Details about the policy violation. Returns: str: The refined policy string. """ # Placeholder: Add logic to refine the policy based on violation_details refined_policy = original_policy + " AND NOT " + violation_details #VERY simplistic refinement return refined_policy def _harden_input(self, finding: Dict) -> Dict: """ Hardens the gate by adding input validation or sanitization based on the evasion finding. Args: finding (Dict): The evasion finding dictionary. Returns: Dict: The updated gate configuration. """ attack_vector = finding.get("attack_vector") # e.g., "sql_injection", "xss" vulnerable_input = finding.get("vulnerable_input") if not attack_vector or not vulnerable_input: logging.warning(f"Attack vector or vulnerable input missing from finding: {finding}") return self.gate_config #Example: Add sanitization rules to gate configuration sanitization_rule = self._create_sanitization_rule(attack_vector, vulnerable_input) if "sanitization_rules" not in self.gate_config: self.gate_config["sanitization_rules"] = [] self.gate_config["sanitization_rules"].append(sanitization_rule) logging.info(f"Added sanitization rule for {attack_vector} on input {vulnerable_input}") return self.gate_config def _create_sanitization_rule(self, attack_vector: str, vulnerable_input: str) -> Dict: """ Creates a sanitization rule based on the attack vector and vulnerable input. This is a placeholder and should be implemented with specific sanitization logic. Args: attack_vector (str): The type of attack (e.g., "sql_injection"). vulnerable_input (str): The vulnerable input field. Returns: Dict: A dictionary representing the sanitization rule. """ # Placeholder: Implement specific sanitization logic here. sanitization_rule = { "input_field": vulnerable_input, "attack_vector": attack_vector, "sanitization_method": "placeholder_sanitization_method" # Replace with actual method } return sanitization_rule