Secure Coding Practices for Developers

A implementação de práticas recomendadas de codificação segura é vital para o processo de desenvolvimento de software, pois reduz o risco de violações de dados e outros incidentes de segurança. Muitas explorações de software são possibilitadas por vulnerabilidades conhecidas e evitáveis, e a codificação segura pode ajudar as organizações a evitá-las. Ao fazer isso, eles reduzem os custos financeiros, operacionais e de reputação das violações de dados para a empresa.

Soluções de segurança na nuvem Cloudguard Security Checkup

How Does Secure Coding Fit into the Development Process?

Secure coding should be integrated into every stage of the secure software development lifecycle (SSDLC) as part of a DevSecOps program. During the requirements and design stages, the development team should define security requirements for the application and integrate them into its design. During development, coders should write tests for security use cases and avoid common vulnerabilities. The testing phase should incorporate security testing, and software should be deployed with secure configurations and undergo ongoing security testing throughout its lifecycle.

Secure Coding Best Practices

Secure coding is the foundation of an effective application security (AppSec) program. The following best practices enable a development team to avoid common vulnerabilities and promote a culture of strong AppSec:

 

  • Security Training: Developers need to be aware of common vulnerabilities in order to avoid them. Providing regular training on widespread vulnerability classes and secure coding best practices helps to empower developers and create a culture of strong AppSec within the organization.
  • Threat Modeling: A modelagem de ameaças é um exercício estruturado para identificar possíveis vulnerabilidades e riscos de segurança em um aplicativo. A execução da modelagem de ameaças permite que a organização lide melhor com as ameaças prováveis a um aplicativo.
  • Input Validation and Sanitization: Input validation ensures that user-provided inputs meet expectations for length, content, and formatting. Input sanitization removes potentially dangerous content from user-provided input before processing it.
  • Controle de acesso: o aplicativo deve implementar um forte controle de acesso, incluindo autenticação e autorização. A autenticação verifica a identidade do usuário, enquanto a autorização valida que um usuário autenticado tem os privilégios necessários para executar alguma ação.
  • Data Security: Data should be secured both at rest and in transit. This includes the use of data encryption with secure management of cryptographic keys.
  • Secrets Management: Applications may have access to various secrets, including passwords, cryptographic keys, API keys, and more. These secrets should be securely stored and not hardcoded into application code where they are at risk of potential exposure.
  • Menos privilégio: The principle of least privilege states that users, applications, etc., should only have the minimum set of permissions needed to do their job, This principle should be designed into an application’s access control and privilege management system.
  • Tratamento de erros: Um aplicativo deve ser projetado para tratar explicitamente todos os possíveis erros que encontrar. Caso contrário, uma entrada ou um comportamento imprevisto pode causar o travamento do aplicativo.
  • Code Reviews: Code reviews are an essential component of an AppSec program. Having someone other than the developer review the code increases the probability that overlooked issues will be detected and remediated.
  • Regular, Automated Vulnerability Scanning: Automated scanners can identify software vulnerabilities, hardcoded secrets, and other security risks within an application’s code. These tools should be used throughout the software development process and after deployment to enable potential security risks to be quickly identified and remediated.
  • Automate Security Scanning in CI/CD Pipelines: Automated scanning can be built into automated CI/CD pipelines to decrease friction and improve test coverage. Before a commit is accepted to the repo, it can be automatically subjected to static and dynamic code analysis to identify potential vulnerabilities.
  • Infrastructure as Code (IaC): IaC automates the process of configuring software and systems. This streamlines the deployment process and reduces the risk that human error will introduce security vulnerabilities.
  • Leverage AI/ML: The evolution of artificial intelligence and machine learning (AI/ML) has dramatically expanded the capabilities of automated security scanning tools. Taking advantage of these new features enables vulnerabilities to be identified and remediated more quickly and easily.

Codificação segura com CloudGuard Spectral

Secure coding is essential to reduce the volume of vulnerabilities that reach production code. While not every vulnerability is exploitable, those that are targeted by cybercriminals can be used to carry out data breaches, ransomware attacks, and other malicious activities. By implementing secure coding best practices, an organization can reduce its exposure to these threats and the potential risks for its customers.

Um programa AppSec eficaz é apoiado por ferramentas que tornam a segurança fácil e escalonável. Saiba mais sobre a implementação de DevSecOps em ambientes de nuvem com este guia do comprador. O CloudGuard Spectral da Check Point simplifica o AppSec em nuvem para as equipes de desenvolvimento. Para saber mais, inscreva-se hoje mesmo em um demogratuito.

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