Secure coding practices are development techniques preventing security vulnerabilities from being introduced during software development. Implementing security from the beginning of development is far more effective than retrofitting security after vulnerabilities are discovered.
Input Validation
All external inputs require rigorous validation before processing:
- Type checking ensuring data types match expectations
- Length limits preventing buffer overflows and resource exhaustion
- Pattern matching validating expected data formats
- Whitelisting accepting only known-good values rather than blacklisting dangerous values
Input validation prevents injection attacks, cross-site scripting (XSS), and other exploitation techniques.
Output Encoding
Data output to browsers, APIs, or other destinations should be properly encoded preventing injection attacks through response data.
- HTML encoding for HTML contexts preventing XSS
- URL encoding for URL parameters
- JSON encoding for JSON responses
- SQL encoding when constructing queries (though parameterised queries are preferred)
Parameterised Queries
Database queries should use parameterised queries (prepared statements) with parameters separated from query text. This prevents SQL injection attacks exploiting string concatenation.
Never concatenate user input directly into SQL strings; always use parameterised query features provided by database libraries.
Error Handling
Applications should handle errors gracefully without exposing sensitive information:
- Avoid detailed error messages revealing system information
- Log detailed errors server-side for debugging
- Display generic error messages to users
- Fail securely; when validation fails, deny access rather than granting it
Authentication and Authorisation
- Implement strong authentication requiring passwords, multi-factor authentication, or cryptographic credentials
- Enforce role-based or attribute-based access control limiting user permissions
- Validate authorisation on every operation, not just at entry points
- Assume all clients are untrusted; never trust client-side authorisation checks
Sensitive Data Handling
- Encrypt sensitive data at rest and in transit
- Minimise sensitive data retention
- Clear sensitive data from memory after use
- Never log sensitive data including passwords, tokens, or payment information
Dependency Management
Applications depend on numerous third-party libraries which may contain vulnerabilities:
- Regularly audit dependencies for known vulnerabilities
- Keep dependencies updated to latest secure versions
- Use dependency scanning tools identifying vulnerable dependencies
- Understand licenses of dependencies
Security Code Review
Peer code review specifically examining security implications identifies vulnerabilities before deployment:
- Review code for injection vulnerabilities, authentication issues, and cryptographic errors
- Include security experts in code reviews
- Use code analysis tools identifying common vulnerabilities
PixelForce Secure Development
PixelForce's development of payment systems, health applications, and enterprise platforms requires meticulous secure coding. Security is integrated throughout our development process using tools, training, and practices ensuring vulnerability prevention.
OWASP Top 10
The Open Web Application Security Project publishes top 10 web application vulnerabilities:
- Injection Attacks
- Broken Authentication
- Sensitive Data Exposure
- XML External Entities (XXE)
- Broken Access Control
- Security Misconfiguration
- Cross-Site Scripting (XSS)
- Insecure Deserialization
- Using Components with Known Vulnerabilities
- Insufficient Logging and Monitoring
CWE Top 25
The Common Weakness Enumeration top 25 identifies most dangerous software weaknesses. Addressing top CWE weaknesses eliminates majority of vulnerabilities.
Secure Defaults
Applications should use secure defaults requiring explicit actions to reduce security:
- HTTPS enabled by default
- Authentication required by default
- Principle of least privilege applying minimum necessary permissions
- Security features enabled by default
Memory Safety
Languages like C and C++ enable memory management errors including buffer overflows and use-after-free vulnerabilities. Memory-safe languages (Python, Java, Go) or careful C/C++ practices prevent memory vulnerabilities.
CSRF Protection
Cross-Site Request Forgery attacks trick users performing unintended actions. CSRF tokens prevent CSRF by requiring tokens validating requests originated from legitimate sources.
Logging and Monitoring
Comprehensive security logging identifies attacks and breaches:
- Log authentication attempts including failures
- Log data access particularly sensitive data access
- Monitor logs for suspicious patterns
- Ensure logs themselves are secured preventing tampering
Security Testing
Regular security testing identifies vulnerabilities before attackers discover them:
- Unit testing of security functionality
- Penetration testing simulating real attacks
- Fuzzing testing with random inputs
- Security scanning tools identifying known vulnerabilities
Serialisation Security
Untrusted data deserialisation can enable code execution attacks. Untrusted serialised data should not be deserialised; if necessary, validate format before deserialisation.
Cryptography Implementation
- Use well-known, peer-reviewed cryptographic libraries
- Never implement cryptography from scratch
- Use strong algorithms (AES-256, ECDSA)
- Implement key management securely
- Understand cryptographic limitations and assumptions
Privilege Escalation Prevention
Applications should:
- Run with minimum necessary privileges
- Avoid unnecessarily running administrative code
- Validate privilege levels for operations
- Implement capability-based access control
Secure Documentation
Security documentation should:
- Explain security architecture and decisions
- Document threat model
- Explain how to deploy securely
- Describe security assumptions
Developer Security Training
Security requires developer understanding:
- Training on common vulnerabilities and prevention
- Code review practices identifying security issues
- Secure coding guidelines specific to technology stack
- Regular updates on emerging threats
Secure Build and Deployment
- Code signing preventing tampering
- Automated security testing in CI/CD pipelines
- Secure configuration management
- Secure deployment practices
Future Secure Coding Trends
Memory-safe languages are increasingly adopted eliminating entire categories of vulnerabilities. Rust adoption is growing for security-critical components.
AI-powered code analysis is improving vulnerability detection, potentially identifying issues humans miss.