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Update src/security_system.py
Browse files- src/security_system.py +306 -42
src/security_system.py
CHANGED
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@@ -1,87 +1,351 @@
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import re
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import time
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from datetime import datetime, timedelta
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from typing import Dict, List, Optional
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import logging
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class
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"""
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def __init__(self):
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self.rate_limits = {}
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self.suspicious_patterns = [
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r"(?i)(
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r"(?i)(
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r"\b\
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]
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self.setup_logging()
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def setup_logging(self):
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"""Setup logging"""
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self.logger = logging.getLogger(__name__)
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def check_request(self, query: str, user_id: str) -> Dict:
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"""
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result = {
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"is_suspicious": False,
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"alerts": [],
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"risk_score": 0
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}
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# Rate limiting
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result["is_suspicious"] = True
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result["alerts"].append("Rate limit exceeded")
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result["risk_score"] = 100
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return result
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# Pattern matching
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for pattern in self.suspicious_patterns:
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result["risk_score"] += 20
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# Query length analysis
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result["risk_score"] += 30
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# Special character analysis
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special_chars = len(re.findall(r'[^\w\s]', query))
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result["alerts"].append("High percentage of special characters")
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result["risk_score"] += 25
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#
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return result
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def
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"""Check
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#
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self.
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if
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return False
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def sanitize_input(self, text: str) -> str:
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"""Sanitize user input"""
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# Remove potentially dangerous characters
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sanitized = re.sub(r'[<>"\'
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import re
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import time
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from datetime import datetime, timedelta
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from typing import Dict, List, Optional, Tuple
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import logging
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import hashlib
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class AdvancedSecuritySystem:
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"""
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Advanced security system for input validation, rate limiting, and threat detection.
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Protects the AI system from abuse and malicious inputs.
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"""
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def __init__(self):
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self.rate_limits = {}
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self.suspicious_ips = {}
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self.security_log = []
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# Suspicious patterns for input validation
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self.suspicious_patterns = [
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# SQL Injection patterns
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r"(?i)(union.*select|select.*from|insert.*into|delete.*from|drop.*table)",
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r"(?i)(or.*1=1|and.*1=1|exec.*\(|xp_cmdshell)",
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r"(\b)(DROP|DELETE|INSERT|UPDATE|ALTER)(\b)",
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# XSS patterns
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r"(?i)(script|javascript|onload|onerror|onclick|alert\(|document\.cookie)",
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r"<.*>.*</.*>", # HTML tags
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# Command injection
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r"[;&|`]\s*\w+",
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r"\$\(.*\)",
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# Path traversal
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r"\.\./|\.\.\\",
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# Sensitive data patterns
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r"(?i)(password|token|key|secret|auth|credential)",
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r"\b\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}\b", # IP addresses
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# Excessive length or repetition
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r".{10000,}", # Very long inputs
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r"(.)\1{50,}", # Repeated characters
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# Admin/privilege patterns
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r"(?i)(admin|root|sudo|su -|chmod|chown)"
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]
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# Rate limiting configuration
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self.rate_limit_config = {
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"default": {"requests_per_minute": 60, "burst_capacity": 10},
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"anonymous": {"requests_per_minute": 30, "burst_capacity": 5},
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"suspicious": {"requests_per_minute": 10, "burst_capacity": 2}
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}
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self.setup_logging()
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def setup_logging(self):
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"""Setup security logging"""
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self.logger = logging.getLogger(__name__)
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self.logger.setLevel(logging.INFO)
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def check_request(self, query: str, user_id: str, ip_address: Optional[str] = None) -> Dict[str, any]:
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"""
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Comprehensive security check for incoming requests.
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Args:
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query: User's query text
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user_id: User identifier
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ip_address: Optional IP address for IP-based checks
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Returns:
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Security assessment result
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"""
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result = {
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"is_suspicious": False,
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"alerts": [],
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"risk_score": 0,
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"allowed": True,
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"rate_limit_info": {}
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}
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# Rate limiting check
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rate_limit_result = self.check_rate_limit(user_id, ip_address)
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if not rate_limit_result["allowed"]:
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result["is_suspicious"] = True
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result["allowed"] = False
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result["alerts"].append("Rate limit exceeded")
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result["risk_score"] = 100
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result["rate_limit_info"] = rate_limit_result
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return result
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result["rate_limit_info"] = rate_limit_result
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# Input validation and pattern matching
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validation_result = self.validate_input(query, user_id)
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result["alerts"].extend(validation_result["alerts"])
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result["risk_score"] += validation_result["risk_score"]
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# IP reputation check (if IP provided)
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if ip_address:
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ip_result = self.check_ip_reputation(ip_address)
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result["alerts"].extend(ip_result["alerts"])
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result["risk_score"] += ip_result["risk_score"]
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# Determine overall suspicion
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if result["risk_score"] >= 50:
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result["is_suspicious"] = True
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if result["risk_score"] >= 80:
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result["allowed"] = False
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# Log security event
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self.log_security_event(user_id, ip_address, query, result)
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return result
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def check_rate_limit(self, user_id: str, ip_address: Optional[str] = None) -> Dict[str, any]:
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"""Check rate limits for user and/or IP"""
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current_time = datetime.now()
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user_key = f"user_{user_id}"
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ip_key = f"ip_{ip_address}" if ip_address else None
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# Get rate limit configuration
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user_config = self.rate_limit_config.get("default")
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if user_id == "anonymous":
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user_config = self.rate_limit_config.get("anonymous", user_config)
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# Check if user is marked as suspicious
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if self.is_suspicious_user(user_id) or (ip_address and self.is_suspicious_ip(ip_address)):
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user_config = self.rate_limit_config.get("suspicious", user_config)
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# Clean old entries for user
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self.rate_limits[user_key] = [
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t for t in self.rate_limits.get(user_key, [])
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if current_time - t < timedelta(minutes=1)
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]
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# Clean old entries for IP (if provided)
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if ip_key:
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self.rate_limits[ip_key] = [
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t for t in self.rate_limits.get(ip_key, [])
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if current_time - t < timedelta(minutes=1)
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]
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# Check user rate limit
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user_requests = len(self.rate_limits.get(user_key, []))
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user_allowed = user_requests < user_config["requests_per_minute"]
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# Check IP rate limit (if IP provided)
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ip_allowed = True
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if ip_key:
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ip_requests = len(self.rate_limits.get(ip_key, []))
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ip_allowed = ip_requests < user_config["requests_per_minute"]
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allowed = user_allowed and ip_allowed
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# Add current request to counters if allowed
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if allowed:
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self.rate_limits.setdefault(user_key, []).append(current_time)
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if ip_key:
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self.rate_limits.setdefault(ip_key, []).append(current_time)
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return {
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"allowed": allowed,
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"user_requests": user_requests,
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"user_limit": user_config["requests_per_minute"],
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"ip_requests": len(self.rate_limits.get(ip_key, [])) if ip_key else 0,
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"ip_limit": user_config["requests_per_minute"] if ip_key else "N/A",
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"retry_after": 60 if not allowed else 0
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}
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def validate_input(self, query: str, user_id: str) -> Dict[str, any]:
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"""Validate and analyze user input"""
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result = {
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"alerts": [],
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"risk_score": 0
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}
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# Pattern matching
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for pattern in self.suspicious_patterns:
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matches = re.findall(pattern, query)
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if matches:
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alert_msg = f"Suspicious pattern detected: {pattern[:50]}..."
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result["alerts"].append(alert_msg)
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result["risk_score"] += 20
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# Query length analysis
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query_length = len(query)
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if query_length > 10000:
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result["alerts"].append("Excessively long query detected")
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result["risk_score"] += 30
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elif query_length > 5000:
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result["alerts"].append("Very long query detected")
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result["risk_score"] += 15
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# Special character analysis
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special_chars = len(re.findall(r'[^\w\s\.\?\!]', query))
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special_char_ratio = special_chars / max(len(query), 1)
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if special_char_ratio > 0.3:
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result["alerts"].append("High percentage of special characters")
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result["risk_score"] += 25
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elif special_char_ratio > 0.2:
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result["alerts"].append("Elevated special character usage")
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result["risk_score"] += 10
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# Entropy analysis (for encrypted/encoded content)
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entropy = self.calculate_entropy(query)
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if entropy > 6.0: # High entropy might indicate encoded/encrypted content
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result["alerts"].append("High entropy content detected")
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result["risk_score"] += 20
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return result
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def check_ip_reputation(self, ip_address: str) -> Dict[str, any]:
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"""Check IP reputation (basic implementation)"""
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result = {
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"alerts": [],
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| 219 |
+
"risk_score": 0
|
| 220 |
+
}
|
| 221 |
|
| 222 |
+
# Check if IP is in suspicious list
|
| 223 |
+
if self.is_suspicious_ip(ip_address):
|
| 224 |
+
result["alerts"].append("IP address has suspicious history")
|
| 225 |
+
result["risk_score"] += 40
|
| 226 |
+
|
| 227 |
+
# Simple IP pattern check (private IPs, localhost, etc.)
|
| 228 |
+
if ip_address in ["127.0.0.1", "localhost", "0.0.0.0"]:
|
| 229 |
+
result["alerts"].append("Local IP address detected")
|
| 230 |
+
result["risk_score"] += 10
|
| 231 |
+
|
| 232 |
+
# Check for rapid requests from this IP
|
| 233 |
+
ip_key = f"ip_{ip_address}"
|
| 234 |
+
recent_requests = len(self.rate_limits.get(ip_key, []))
|
| 235 |
+
if recent_requests > 50: # High volume from single IP
|
| 236 |
+
result["alerts"].append("High request volume from IP")
|
| 237 |
+
result["risk_score"] += 15
|
| 238 |
+
|
| 239 |
+
return result
|
| 240 |
+
|
| 241 |
+
def calculate_entropy(self, text: str) -> float:
|
| 242 |
+
"""Calculate Shannon entropy of text (for detecting encoded content)"""
|
| 243 |
+
if not text:
|
| 244 |
+
return 0.0
|
| 245 |
+
|
| 246 |
+
import math
|
| 247 |
+
entropy = 0.0
|
| 248 |
+
text_length = len(text)
|
| 249 |
+
|
| 250 |
+
for char in set(text):
|
| 251 |
+
p_x = float(text.count(char)) / text_length
|
| 252 |
+
if p_x > 0:
|
| 253 |
+
entropy += - p_x * math.log2(p_x)
|
| 254 |
+
|
| 255 |
+
return entropy
|
| 256 |
+
|
| 257 |
+
def is_suspicious_user(self, user_id: str) -> bool:
|
| 258 |
+
"""Check if user is marked as suspicious"""
|
| 259 |
+
# In a real implementation, this would check a database
|
| 260 |
+
# For now, use simple in-memory tracking
|
| 261 |
+
user_key = f"user_{user_id}"
|
| 262 |
+
return self.suspicious_ips.get(user_key, 0) > 5
|
| 263 |
+
|
| 264 |
+
def is_suspicious_ip(self, ip_address: str) -> bool:
|
| 265 |
+
"""Check if IP is marked as suspicious"""
|
| 266 |
+
ip_key = f"ip_{ip_address}"
|
| 267 |
+
return self.suspicious_ips.get(ip_key, 0) > 3
|
| 268 |
+
|
| 269 |
+
def mark_suspicious(self, user_id: str, ip_address: Optional[str] = None, reason: str = ""):
|
| 270 |
+
"""Mark user or IP as suspicious"""
|
| 271 |
+
if user_id:
|
| 272 |
+
user_key = f"user_{user_id}"
|
| 273 |
+
self.suspicious_ips[user_key] = self.suspicious_ips.get(user_key, 0) + 1
|
| 274 |
+
|
| 275 |
+
if ip_address:
|
| 276 |
+
ip_key = f"ip_{ip_address}"
|
| 277 |
+
self.suspicious_ips[ip_key] = self.suspicious_ips.get(ip_key, 0) + 1
|
| 278 |
+
|
| 279 |
+
self.logger.warning(f"Marked as suspicious - User: {user_id}, IP: {ip_address}, Reason: {reason}")
|
| 280 |
+
|
| 281 |
+
def log_security_event(self, user_id: str, ip_address: Optional[str], query: str, result: Dict):
|
| 282 |
+
"""Log security event for auditing"""
|
| 283 |
+
event = {
|
| 284 |
+
"timestamp": datetime.now().isoformat(),
|
| 285 |
+
"user_id": user_id,
|
| 286 |
+
"ip_address": ip_address,
|
| 287 |
+
"query_preview": query[:100] + "..." if len(query) > 100 else query,
|
| 288 |
+
"query_length": len(query),
|
| 289 |
+
"risk_score": result["risk_score"],
|
| 290 |
+
"alerts": result["alerts"],
|
| 291 |
+
"allowed": result["allowed"],
|
| 292 |
+
"is_suspicious": result["is_suspicious"]
|
| 293 |
+
}
|
| 294 |
+
|
| 295 |
+
self.security_log.append(event)
|
| 296 |
+
|
| 297 |
+
# Keep only last 1000 events
|
| 298 |
+
if len(self.security_log) > 1000:
|
| 299 |
+
self.security_log = self.security_log[-1000:]
|
| 300 |
+
|
| 301 |
+
# Log to security logger if high risk
|
| 302 |
+
if result["risk_score"] >= 50:
|
| 303 |
+
self.logger.warning(f"Security alert: User {user_id} - Score: {result['risk_score']} - Alerts: {result['alerts']}")
|
| 304 |
+
|
| 305 |
+
def get_security_stats(self) -> Dict[str, any]:
|
| 306 |
+
"""Get security statistics"""
|
| 307 |
+
recent_events = [e for e in self.security_log
|
| 308 |
+
if datetime.now() - datetime.fromisoformat(e["timestamp"]) < timedelta(hours=24)]
|
| 309 |
|
| 310 |
+
blocked_events = [e for e in recent_events if not e["allowed"]]
|
| 311 |
+
suspicious_events = [e for e in recent_events if e["is_suspicious"]]
|
|
|
|
| 312 |
|
| 313 |
+
return {
|
| 314 |
+
"total_events_24h": len(recent_events),
|
| 315 |
+
"blocked_requests_24h": len(blocked_events),
|
| 316 |
+
"suspicious_requests_24h": len(suspicious_events),
|
| 317 |
+
"current_suspicious_users": len([k for k, v in self.suspicious_ips.items() if k.startswith("user_") and v > 0]),
|
| 318 |
+
"current_suspicious_ips": len([k for k, v in self.suspicious_ips.items() if k.startswith("ip_") and v > 0]),
|
| 319 |
+
"rate_limits_tracked": len(self.rate_limits)
|
| 320 |
+
}
|
| 321 |
|
| 322 |
def sanitize_input(self, text: str) -> str:
|
| 323 |
+
"""Sanitize user input to prevent injection attacks"""
|
| 324 |
+
if not text:
|
| 325 |
+
return ""
|
| 326 |
+
|
| 327 |
# Remove potentially dangerous characters
|
| 328 |
+
sanitized = re.sub(r'[<>"\']', '', text)
|
| 329 |
+
|
| 330 |
+
# Remove SQL injection patterns
|
| 331 |
+
sanitized = re.sub(r'(\b)(DROP|DELETE|INSERT|UPDATE|ALTER|EXEC)(\b)', '', sanitized, flags=re.IGNORECASE)
|
| 332 |
+
|
| 333 |
+
# Remove JavaScript and HTML patterns
|
| 334 |
+
sanitized = re.sub(r'(javascript|script|onload|onerror|onclick)', '', sanitized, flags=re.IGNORECASE)
|
| 335 |
+
|
| 336 |
+
# Remove command injection patterns
|
| 337 |
+
sanitized = re.sub(r'[;&|`]\s*\w+', '', sanitized)
|
| 338 |
+
|
| 339 |
+
return sanitized.strip()
|
| 340 |
+
|
| 341 |
+
def reset_rate_limits(self, user_id: Optional[str] = None, ip_address: Optional[str] = None):
|
| 342 |
+
"""Reset rate limits for specific user or IP"""
|
| 343 |
+
if user_id:
|
| 344 |
+
user_key = f"user_{user_id}"
|
| 345 |
+
if user_key in self.rate_limits:
|
| 346 |
+
del self.rate_limits[user_key]
|
| 347 |
+
|
| 348 |
+
if ip_address:
|
| 349 |
+
ip_key = f"ip_{ip_address}"
|
| 350 |
+
if ip_key in self.rate_limits:
|
| 351 |
+
del self.rate_limits[ip_key]
|