Security Patterns
TinyBrain provides comprehensive security pattern recognition and analysis capabilities, integrating with industry-standard frameworks and supporting multiple programming languages.
CWE Security Patterns
CWE Top 25 Most Dangerous Software Errors
CWE-79: Cross-site Scripting (XSS)
- Description: Improper neutralization of input during web page generation
- Impact: Code execution, session hijacking, data theft
- Patterns: Reflected XSS, Stored XSS, DOM-based XSS
- Mitigations: Input validation, output encoding, CSP headers
CWE-89: SQL Injection
- Description: Improper neutralization of special elements in SQL commands
- Impact: Data breach, data manipulation, privilege escalation
- Patterns: Union-based, Boolean-based, Time-based, Error-based
- Mitigations: Prepared statements, parameterized queries, input validation
CWE-20: Improper Input Validation
- Description: The product does not validate or incorrectly validates input
- Impact: Code execution, data corruption, denial of service
- Patterns: Buffer overflow, format string, integer overflow
- Mitigations: Input validation, bounds checking, type checking
CWE-78: OS Command Injection
- Description: Improper neutralization of special elements in OS commands
- Impact: Code execution, system compromise, data theft
- Patterns: Command injection, argument injection, path traversal
- Mitigations: Input validation, command whitelisting, parameterization
CWE-22: Path Traversal
- Description: Improper limitation of a pathname to a restricted directory
- Impact: File access, data theft, system compromise
- Patterns: Directory traversal, file inclusion, path manipulation
- Mitigations: Path validation, chroot jails, input sanitization
Additional CWE Patterns
- CWE-352: Cross-Site Request Forgery (CSRF)
- CWE-434: Unrestricted Upload of File with Dangerous Type
- CWE-862: Missing Authorization
- CWE-863: Incorrect Authorization
- CWE-798: Use of Hard-coded Credentials
OWASP Integration
OWASP Top 10 (2021)
- A01:2021 - Broken Access Control
- A02:2021 - Cryptographic Failures
- A03:2021 - Injection
- A04:2021 - Insecure Design
- A05:2021 - Security Misconfiguration
- A06:2021 - Vulnerable and Outdated Components
- A07:2021 - Identification and Authentication Failures
- A08:2021 - Software and Data Integrity Failures
- A09:2021 - Security Logging and Monitoring Failures
- A10:2021 - Server-Side Request Forgery (SSRF)
OWASP Testing Guide Integration
- Information Gathering: Reconnaissance and information collection
- Configuration and Deployment Management: Security configuration testing
- Identity Management: Authentication and authorization testing
- Data Protection: Data security and privacy testing
- Business Logic: Business logic vulnerability testing
Multi-Language Security Patterns
Java Security Patterns
- Injection Vulnerabilities: SQL injection, LDAP injection, XPath injection
- Authentication Issues: Weak authentication, session management
- Authorization Problems: Access control bypass, privilege escalation
- Cryptographic Issues: Weak encryption, improper key management
- Input Validation: Missing validation, improper sanitization
C#/.NET Security Patterns
- ASP.NET Vulnerabilities: ViewState tampering, request validation bypass
- WCF Security: Service authentication, message security
- Entity Framework: ORM injection, lazy loading vulnerabilities
- Cryptography: Weak random number generation, improper encryption
- Serialization: Insecure deserialization, type confusion
PHP Security Patterns
- File Inclusion: Local file inclusion, remote file inclusion
- Session Management: Session fixation, session hijacking
- Input Validation: Superglobal vulnerabilities, type juggling
- Database Security: MySQL injection, PostgreSQL injection
- Configuration Issues: Insecure PHP settings, error disclosure
Python Security Patterns
- Django Vulnerabilities: CSRF, XSS, SQL injection
- Flask Security: Template injection, session management
- Input Validation: Pickle deserialization, eval() usage
- Cryptography: Weak random generation, improper hashing
- File Operations: Path traversal, insecure file handling
Go Security Patterns
- HTTP Security: Request smuggling, response splitting
- Database Security: SQL injection, NoSQL injection
- Cryptography: Weak random generation, improper encryption
- Input Validation: Command injection, path traversal
- Concurrency: Race conditions, deadlocks
C/C++ Security Patterns
- Buffer Overflows: Stack overflow, heap overflow
- Memory Management: Use-after-free, double-free
- Integer Issues: Integer overflow, signed/unsigned confusion
- Format String: Format string vulnerabilities
- Pointer Issues: Null pointer dereference, wild pointers
TypeScript/JavaScript Security Patterns
- DOM XSS: Client-side XSS, DOM manipulation
- Prototype Pollution: Object prototype manipulation
- Node.js Security: Command injection, path traversal
- NPM Security: Malicious packages, dependency confusion
- Browser Security: Same-origin policy bypass, CSP bypass
Authorization Templates
Role-Based Access Control (RBAC)
- User Roles: Define user roles and permissions
- Permission Matrix: Map roles to specific permissions
- Hierarchical Roles: Implement role hierarchies
- Dynamic Roles: Support for dynamic role assignment
- Role Inheritance: Role inheritance and delegation
Attribute-Based Access Control (ABAC)
- User Attributes: User characteristics and properties
- Resource Attributes: Resource properties and metadata
- Environment Attributes: Environmental context and conditions
- Policy Rules: Access control policy definitions
- Decision Engine: Access decision evaluation
Discretionary Access Control (DAC)
- Owner Permissions: Resource owner permissions
- Group Permissions: Group-based access control
- Other Permissions: Public access permissions
- Permission Inheritance: Permission inheritance rules
- Access Control Lists: ACL management and enforcement
Security Datasets
Vulnerability Databases
- CVE Database: Common Vulnerabilities and Exposures
- CWE Database: Common Weakness Enumeration
- NVD Database: National Vulnerability Database
- Exploit Database: Exploit database integration
- Security Advisories: Vendor security advisories
Threat Intelligence Feeds
- IOC Feeds: Indicators of Compromise feeds
- Threat Actor Feeds: Threat actor intelligence feeds
- Malware Feeds: Malware signature and behavior feeds
- IP Reputation Feeds: IP address reputation feeds
- Domain Reputation Feeds: Domain reputation feeds
Security Standards
- ISO 27001: Information security management
- NIST Framework: Cybersecurity framework
- PCI DSS: Payment card industry security
- HIPAA: Healthcare information security
- SOX: Sarbanes-Oxley compliance
Pattern Recognition
Behavioral Patterns
- Attack Patterns: Common attack methodologies
- Defense Patterns: Security defense mechanisms
- Evasion Patterns: Attack evasion techniques
- Persistence Patterns: Malware persistence mechanisms
- Communication Patterns: C2 communication patterns
Temporal Patterns
- Time-based Attacks: Time-dependent attack patterns
- Seasonal Patterns: Seasonal attack variations
- Campaign Patterns: Attack campaign timelines
- Lifecycle Patterns: Attack lifecycle patterns
- Recovery Patterns: Incident recovery patterns
Spatial Patterns
- Geographic Patterns: Geographic attack distribution
- Network Patterns: Network-based attack patterns
- Infrastructure Patterns: Infrastructure attack patterns
- Location Patterns: Location-based attack patterns
- Regional Patterns: Regional attack variations
Best Practices
Pattern Development
- Regular Updates: Keep patterns updated with latest threats
- Community Input: Incorporate community feedback
- Testing: Thoroughly test pattern effectiveness
- Documentation: Document pattern purpose and usage
- Version Control: Track pattern changes and versions
Pattern Implementation
- Performance: Ensure patterns don’t impact performance
- Accuracy: Maintain high pattern accuracy
- False Positives: Minimize false positive rates
- Coverage: Ensure comprehensive pattern coverage
- Integration: Seamlessly integrate with existing systems
Pattern Maintenance
- Monitoring: Monitor pattern effectiveness
- Updates: Regular pattern updates and improvements
- Retirement: Retire outdated patterns
- Archival: Archive historical patterns
- Analysis: Analyze pattern performance and effectiveness