This project outlines a structured approach to code security analysis, a critical process for identifying and mitigating vulnerabilities at the source. The goal is to provide a comprehensive security review of an application’s codebase, ensuring its resilience against both internal and external threats. My methodology is a step-by-step process designed to uncover flaws that automated scanners might miss.
The process begins with a static code analysis (SAST) to identify potential vulnerabilities without executing the code. This involves:
- Codebase Mapping: Understanding the application’s architecture and data flow to prioritize key components.
- Internal Vulnerability Hunting: Looking for logical flaws, insecure coding practices, and improper handling of data within the application’s logic. This includes issues like improper error handling, weak cryptographic implementations, and business logic flaws.
- External Vulnerability Analysis: Focusing on how the application interacts with the outside world. This step involves identifying potential injection points (e.g., SQL, XSS), insecure configurations, and vulnerabilities in third-party libraries and dependencies.
After the static analysis, dynamic analysis (DAST) is performed to test the application in a running state. This phase simulates real-world attacks to validate the findings from the static review and discover new vulnerabilities that only appear at runtime.
The final deliverable is a detailed security report that categorizes each vulnerability by severity, provides a clear explanation of the threat, and offers actionable recommendations for remediation. This project demonstrates a thorough and systematic approach to securing software from the inside out, providing a higher level of assurance and protection for the company’s digital assets.