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Continuous Security Testing Pipeline for a Cloud-Based Financial Data Processing Application

Description

This project is about building an automated DevSecOps security pipeline for a cloud-based financial application. Whenever developers submit new code, the system automatically checks the code, dependencies, and Docker containers for security vulnerabilities using SonarQube and Trivy. The results are collected in DefectDojo, and GitLab CI/CD blocks the release if serious security issues are found.

Aim

To build an automated DevSecOps security pipeline that continuously checks financial application code, dependencies, and containers for security vulnerabilities before they reach production.

Objectives

01 Automatically test application code for security problems.
02 Detect vulnerable third-party libraries and dependencies.
03 Scan Docker images for known vulnerabilities.
04 Automatically stop releases when serious vulnerabilities are detected.
05 Collect and manage security findings in one central dashboard.
06 Improve the security of sensitive financial applications.

Application Workflow

01

Stage 1 – User Login

Process

A user logs into the financial application.

Tools
Keycloak PostgreSQL
Implementation

The application authenticates the user and provides access based on their role.

02

Stage 2 – Financial Data Entry

Process

The user submits financial information such as transaction details, account information, or payment records.

Tools
API Gateway PostgreSQL
Implementation

The application receives the financial data and stores the required information.

03

Stage 3 – Data Validation

Process

The application checks whether the submitted financial data is valid.

Tools
PostgreSQL
Implementation

The application checks required fields, account details, transaction amount, and data format. Invalid data is rejected.

04

Stage 4 – Financial Data Processing

Process

Valid financial data is processed according to the requested operation.

Tools
PostgreSQL
Implementation

The application processes the transaction and updates the corresponding financial records.

05

Stage 5 – Transaction Status

Process

The application provides the result of the financial operation.

Tools
PostgreSQL
Implementation

The application updates the transaction status as successful, failed, or pending and displays the result to the user.

06

Stage 6 – Financial Reports

Process

The user views financial transaction history and reports.

Tools
PostgreSQL
Implementation

The application retrieves transaction information and generates reports such as transaction history, payment summaries, and account activity.

Cloud Infrastructure and Tools

Continuous Integration Tool GitLab CI/CD

Automatically builds, tests, and runs security checks whenever developers push new code.

Code Security Scanner SonarQube

Checks source code for bugs, security weaknesses, poor coding practices, and exposed credentials.

Vulnerability Scanner Trivy

Checks software dependencies, files, and Docker images for known security vulnerabilities.

Security Management Tool DefectDojo

Collects security results from SonarQube and Trivy and displays them in one place.

Containerization Tool Docker

Packages the financial application and its dependencies into portable containers.

Compute Cloud EC2

Provides virtual servers to run GitLab runners, SonarQube, DefectDojo, and other required components.

Operating System Ubuntu Server 24.04 LTS

Provides the Linux operating system for the EC2 servers.

Cloud Network Cloud VPC

Creates a private and secure network for the application's security infrastructure.

Security Controls & Firewalls Cloud Security Groups and Network ACLs

Control which network connections are allowed to reach the servers.

Storage Cloud EBS

Provides persistent storage for the servers, security databases, logs, and scan results.

Implementation Process

01
Step 1 – Understand the Application
  • Examine the financial application's source code and dependencies.
  • Identify the programming languages and software packages being used.
  • Define the security rules and conditions for accepting or rejecting code.
  • Decide which vulnerabilities should automatically stop the pipeline.
02
Step 2 – Create the Secure Cloud Environment
  • Create a Cloud VPC for the security infrastructure.
  • Create the required private and public network areas.
  • Launch Cloud EC2 servers with Ubuntu Server.
  • Attach Cloud EBS storage to the servers.
  • Configure Security Groups and network rules to protect the servers.
03
Step 3 – Install Security Tools
  • Install SonarQube on an EC2 server.
  • Install Trivy on the required testing servers or CI runners.
  • Install Docker to create application containers.
  • Configure a secure container/image repository for validated images.
04
Step 4 – Create the DevSecOps Pipeline
  • GitLab CI/CD automatically starts the pipeline when a developer pushes new code.
  • SonarQube scans the source code for code quality and security issues.
  • Trivy scans application dependencies and the Docker image for vulnerabilities.
  • If serious security issues are detected, the pipeline stops and the code is not deployed.
  • If all security checks pass, the application is approved for deployment to the next environment.
05
Step 5 – Manage Security Results
  • Deploy DefectDojo.
  • Send SonarQube and Trivy results to DefectDojo.
  • DefectDojo organizes and tracks the vulnerabilities.
  • Test the system by intentionally introducing a test vulnerability.
  • Confirm that GitLab detects it and blocks the release.
  • Use the dashboard to monitor security issues and their remediation.

Proposed Solution

The project creates a continuous security checking system for a financial application. GitLab manages the pipeline, SonarQube checks the source code, Trivy checks dependencies and containers, Docker packages the application, and DefectDojo manages the security findings. If everything is safe, the application can continue toward deployment. If a critical security issue is found, the pipeline automatically blocks the release.

Benefits

Automatic Security Testing: Security checks happen whenever new code is submitted.
Early Vulnerability Detection: Problems are found before the application reaches production.
Centralized Security Dashboard: DefectDojo keeps security findings in one place.
Credential Protection: SonarQube can detect accidentally exposed passwords and keys.
Container Security: Trivy checks Docker images for known vulnerabilities.
Faster Security Process: Security testing becomes part of the normal development pipeline instead of being done manually at the end.

Challenges

False Positives: Security tools may sometimes report safe code as a possible problem.
Large Number of Vulnerabilities: DefectDojo may receive many findings that need to be prioritized.
Pipeline Speed: Security scans can increase the time required to complete a build.
Vulnerability Database Updates: Trivy needs regularly updated vulnerability information.
Secure Credentials: API keys, passwords, and other secrets must be protected during the pipeline.
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