Container security in CI/CD pipelines

• Autor(a) principal: Brás, André Emanuel Raínho
• Data de Publicação: 2021
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10773/31292
• topic: Application security; Container security; DevSecOps; SecDevOps; Secure SLDC; CI/CD; Docker; Microservices; Kubernetes

The rising of the DevOps movement and the transition from a product economy to a service economy drove significant changes in the software development life cycle paradigm, among which the dropping of the waterfall in favor of agile methods. Since DevOps is itself an agile method, it allows us to monitor current releases, receiving constant feedback from clients, and improving the next software releases. Despite its extraordinary development, DevOps still presents limitations concerning security, which needs to be included in the Continuous Integration or Continuous Deployment pipelines (CI/CD) used in software development. The massive adoption of cloud services and open-source software, the widely spread containers and related orchestration, as well as microservice architectures, broke all conventional models of software development. Due to these new technologies, packaging and shipping new software is done in short periods nowadays and becomes almost instantly available to users worldwide. The usual approach to attach security at the end of the software development life cycle (SDLC) is now becoming obsolete, thus pushing the adoption of DevSecOps or SecDevOps, by injecting security into SDLC processes earlier and preventing security defects or issues from entering into production. This dissertation aims to reduce the impact of microservices’ vulnerabilities by examining the respective images and containers through a flexible and adaptable set of analysis tools running in dedicated CI/CD pipelines. This approach intends to provide a clean and secure collection of microservices for later release in cloud production environments. To achieve this purpose, we have developed a solution that allows programming and orchestrating a battery of tests. There is a form where we can select several security analysis tools, and the solution performs this set of tests in a controlled way according to the defined dependencies. To demonstrate the solution’s effectiveness, we program a battery of tests for different scenarios, defining the security analysis pipeline to incorporate various tools. Finally, we will show security tools working locally, which subsequently integrated into our solution return the same results.