| # Security Policy | |
| ## Overview | |
| DeepXR is committed to maintaining the security and integrity of the Helion-2.5-Rnd model and its associated infrastructure. This document outlines our security policies, vulnerability reporting procedures, and best practices for secure deployment. | |
| ## Supported Versions | |
| Security updates and patches are provided for the following versions: | |
| | Version | Supported | Status | | |
| | ------- | ------------------ | ------ | | |
| | 2.5.x | :white_check_mark: | Active | | |
| | 2.4.x | :x: | EOL | | |
| | < 2.4 | :x: | EOL | | |
| ## Security Features | |
| ### Model Security | |
| 1. **SafeTensors Format** | |
| - All model weights are stored using SafeTensors format | |
| - Prevents arbitrary code execution during model loading | |
| - Validates tensor metadata and structure | |
| - Faster and safer than pickle-based formats | |
| 2. **Weight Integrity** | |
| - SHA256 checksums provided for all model files | |
| - Verify file integrity before loading | |
| - Detect tampering or corruption | |
| 3. **No Quantization** | |
| - Model provided in full precision (BF16/FP16) | |
| - Eliminates quantization-related vulnerabilities | |
| - Maintains deterministic behavior | |
| ### Inference Security | |
| 1. **Input Validation** | |
| - Maximum token length enforcement | |
| - Character encoding validation | |
| - Malicious pattern detection | |
| - Rate limiting per client | |
| 2. **Output Filtering** | |
| - Content safety filters | |
| - PII detection and redaction | |
| - Toxicity monitoring | |
| - Prompt injection detection | |
| 3. **API Security** | |
| - TLS 1.3 encryption for all communications | |
| - API key authentication | |
| - Request signature verification | |
| - CORS policy enforcement | |
| ## Reporting a Vulnerability | |
| ### How to Report | |
| If you discover a security vulnerability in Helion-2.5-Rnd, please report it responsibly: | |
| 1. **DO NOT** create a public GitHub issue | |
| 2. Email [email protected] with details | |
| 3. Include: | |
| - Description of the vulnerability | |
| - Steps to reproduce | |
| - Potential impact assessment | |
| - Suggested mitigation (if any) | |
| ### What to Expect | |
| - **Initial Response**: Within 48 hours | |
| - **Status Update**: Within 7 days | |
| - **Resolution Timeline**: Varies by severity | |
| - Critical: 1-7 days | |
| - High: 7-30 days | |
| - Medium: 30-90 days | |
| - Low: 90+ days | |
| ### Disclosure Policy | |
| - We follow coordinated disclosure principles | |
| - Security advisories published after patches are available | |
| - Credit given to reporters (unless anonymous preferred) | |
| - CVE IDs assigned for significant vulnerabilities | |
| ## Security Best Practices | |
| ### Deployment Security | |
| #### Network Security | |
| ```yaml | |
| # Example: Secure nginx configuration | |
| server { | |
| listen 443 ssl http2; | |
| ssl_protocols TLSv1.3; | |
| ssl_ciphers HIGH:!aNULL:!MD5; | |
| ssl_prefer_server_ciphers on; | |
| # Security headers | |
| add_header Strict-Transport-Security "max-age=31536000" always; | |
| add_header X-Frame-Options "SAMEORIGIN" always; | |
| add_header X-Content-Type-Options "nosniff" always; | |
| add_header X-XSS-Protection "1; mode=block" always; | |
| } | |
| ``` | |
| #### Docker Security | |
| ```dockerfile | |
| # Use non-root user | |
| RUN useradd -m -u 1000 helion | |
| USER helion | |
| # Read-only root filesystem | |
| docker run --read-only --tmpfs /tmp:rw,noexec,nosuid | |
| # Drop capabilities | |
| docker run --cap-drop=ALL --cap-add=NET_BIND_SERVICE | |
| # Resource limits | |
| docker run --memory="256g" --cpus="64" | |
| ``` | |
| #### Kubernetes Security | |
| ```yaml | |
| apiVersion: v1 | |
| kind: Pod | |
| metadata: | |
| name: helion-pod | |
| spec: | |
| securityContext: | |
| runAsNonRoot: true | |
| runAsUser: 1000 | |
| fsGroup: 1000 | |
| containers: | |
| - name: helion | |
| securityContext: | |
| allowPrivilegeEscalation: false | |
| readOnlyRootFilesystem: true | |
| capabilities: | |
| drop: | |
| - ALL | |
| ``` | |
| ### Input Validation | |
| #### Python Implementation | |
| ```python | |
| import re | |
| from typing import Optional | |
| class InputValidator: | |
| """Validate and sanitize user inputs""" | |
| MAX_LENGTH = 131072 | |
| MAX_TOKENS = 8192 | |
| @staticmethod | |
| def validate_prompt(prompt: str) -> tuple[bool, Optional[str]]: | |
| """Validate prompt input""" | |
| # Length check | |
| if len(prompt) > InputValidator.MAX_LENGTH: | |
| return False, "Prompt exceeds maximum length" | |
| # Character validation | |
| if not prompt.isprintable() and not prompt.isspace(): | |
| return False, "Prompt contains invalid characters" | |
| # Injection detection | |
| dangerous_patterns = [ | |
| r'<script', | |
| r'javascript:', | |
| r'on\w+\s*=', | |
| r'\beval\(', | |
| r'\bexec\(', | |
| ] | |
| for pattern in dangerous_patterns: | |
| if re.search(pattern, prompt, re.IGNORECASE): | |
| return False, "Potential injection detected" | |
| return True, None | |
| @staticmethod | |
| def sanitize_output(text: str) -> str: | |
| """Sanitize model output""" | |
| # Remove potential XSS vectors | |
| text = re.sub(r'<script.*?</script>', '', text, flags=re.DOTALL | re.IGNORECASE) | |
| text = re.sub(r'javascript:', '', text, flags=re.IGNORECASE) | |
| return text | |
| ``` | |
| ### Authentication | |
| #### API Key Management | |
| ```python | |
| import secrets | |
| import hashlib | |
| from datetime import datetime, timedelta | |
| class APIKeyManager: | |
| """Secure API key management""" | |
| @staticmethod | |
| def generate_key() -> str: | |
| """Generate cryptographically secure API key""" | |
| return secrets.token_urlsafe(32) | |
| @staticmethod | |
| def hash_key(key: str) -> str: | |
| """Hash API key for storage""" | |
| return hashlib.sha256(key.encode()).hexdigest() | |
| @staticmethod | |
| def verify_key(key: str, stored_hash: str) -> bool: | |
| """Verify API key against stored hash""" | |
| return hashlib.sha256(key.encode()).hexdigest() == stored_hash | |
| ``` | |
| ### Rate Limiting | |
| ```python | |
| from collections import defaultdict | |
| from time import time | |
| class RateLimiter: | |
| """Token bucket rate limiter""" | |
| def __init__(self, requests_per_minute: int = 60): | |
| self.rate = requests_per_minute / 60.0 | |
| self.buckets = defaultdict(lambda: {'tokens': requests_per_minute, 'last': time()}) | |
| def allow_request(self, client_id: str) -> bool: | |
| """Check if request is allowed""" | |
| bucket = self.buckets[client_id] | |
| now = time() | |
| # Add tokens based on elapsed time | |
| elapsed = now - bucket['last'] | |
| bucket['tokens'] = min( | |
| self.rate * 60, | |
| bucket['tokens'] + elapsed * self.rate | |
| ) | |
| bucket['last'] = now | |
| # Check if request allowed | |
| if bucket['tokens'] >= 1: | |
| bucket['tokens'] -= 1 | |
| return True | |
| return False | |
| ``` | |
| ## Content Safety | |
| ### Filtering Implementation | |
| ```python | |
| import re | |
| from typing import List, Tuple | |
| class ContentFilter: | |
| """Content safety filtering""" | |
| # Configurable toxicity patterns | |
| TOXIC_PATTERNS = [ | |
| r'\b(violence|harm|kill|attack)\b', | |
| r'\b(hate|racist|sexist)\b', | |
| r'\b(illegal|unlawful|criminal)\b', | |
| ] | |
| # PII patterns | |
| PII_PATTERNS = { | |
| 'email': r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', | |
| 'ssn': r'\b\d{3}-\d{2}-\d{4}\b', | |
| 'phone': r'\b\d{3}[-.]?\d{3}[-.]?\d{4}\b', | |
| 'credit_card': r'\b\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}\b', | |
| } | |
| @classmethod | |
| def check_toxicity(cls, text: str) -> Tuple[bool, List[str]]: | |
| """Check for toxic content""" | |
| violations = [] | |
| for pattern in cls.TOXIC_PATTERNS: | |
| if re.search(pattern, text, re.IGNORECASE): | |
| violations.append(pattern) | |
| return len(violations) == 0, violations | |
| @classmethod | |
| def detect_pii(cls, text: str) -> List[str]: | |
| """Detect personally identifiable information""" | |
| found_pii = [] | |
| for pii_type, pattern in cls.PII_PATTERNS.items(): | |
| if re.search(pattern, text): | |
| found_pii.append(pii_type) | |
| return found_pii | |
| @classmethod | |
| def redact_pii(cls, text: str) -> str: | |
| """Redact PII from text""" | |
| for pii_type, pattern in cls.PII_PATTERNS.items(): | |
| text = re.sub(pattern, f'[REDACTED_{pii_type.upper()}]', text) | |
| return text | |
| ``` | |
| ## Monitoring and Auditing | |
| ### Security Logging | |
| ```python | |
| import logging | |
| import json | |
| from datetime import datetime | |
| class SecurityLogger: | |
| """Security event logging""" | |
| def __init__(self, log_file: str = "security.log"): | |
| self.logger = logging.getLogger("security") | |
| handler = logging.FileHandler(log_file) | |
| handler.setFormatter(logging.Formatter('%(message)s')) | |
| self.logger.addHandler(handler) | |
| self.logger.setLevel(logging.INFO) | |
| def log_event(self, event_type: str, details: dict): | |
| """Log security event""" | |
| event = { | |
| 'timestamp': datetime.utcnow().isoformat(), | |
| 'type': event_type, | |
| 'details': details | |
| } | |
| self.logger.info(json.dumps(event)) | |
| def log_authentication(self, client_id: str, success: bool): | |
| """Log authentication attempt""" | |
| self.log_event('authentication', { | |
| 'client_id': client_id, | |
| 'success': success | |
| }) | |
| def log_violation(self, client_id: str, violation_type: str, details: str): | |
| """Log security violation""" | |
| self.log_event('violation', { | |
| 'client_id': client_id, | |
| 'violation_type': violation_type, | |
| 'details': details | |
| }) | |
| ``` | |
| ## Incident Response | |
| ### Response Procedure | |
| 1. **Detection**: Identify security incident | |
| 2. **Containment**: Isolate affected systems | |
| 3. **Investigation**: Determine scope and impact | |
| 4. **Remediation**: Apply fixes and patches | |
| 5. **Recovery**: Restore normal operations | |
| 6. **Review**: Post-incident analysis | |
| ### Contact Information | |
| - **Security Team**: [email protected] | |
| - **Emergency**: +1-555-DEEPXR-SEC | |
| - **PGP Key**: Available at https://deepxr.ai/pgp-key.asc | |
| ## Compliance | |
| ### Standards Adherence | |
| - **OWASP Top 10**: Protection against common vulnerabilities | |
| - **CWE/SANS Top 25**: Mitigation of dangerous software errors | |
| - **NIST Cybersecurity Framework**: Aligned with framework guidelines | |
| - **ISO 27001**: Information security management | |
| ### Data Privacy | |
| - **GDPR Compliance**: EU data protection regulation | |
| - **CCPA Compliance**: California Consumer Privacy Act | |
| - **Data Minimization**: Collect only necessary information | |
| - **Right to Erasure**: Support for data deletion requests | |
| ## Updates | |
| This security policy is reviewed quarterly and updated as needed. Last updated: 2025-01-30 | |
| ## Acknowledgments | |
| We thank the security research community for responsible disclosure and continuous improvement of our security posture. | |
| --- | |
| **DeepXR Security Team** | |
| [email protected] | |
| https://deepxr.ai/security |