Static and Dynamic Source Code Analysis

Software security begins the moment code is written. CoreDefence's source code analysis service inspects your application source with the most current vulnerability databases of 2025 (CVE, CWE, NVD) and AI-powered analysis engines, catching security flaws at the earliest possible stage of development. As the foundation of a shift-left security approach, this service stops vulnerabilities from ever reaching production.

Static Application Security Testing (SAST) analyses dataflow and control flow without executing the code, detecting SQL injection, XSS, SSRF, path traversal, deserialisation flaws, hardcoded secrets, race conditions and memory safety issues. Supporting more than 40 programming languages — including Python, Go, Rust, TypeScript, Java, C#, C/C++, Kotlin and Swift — our engine inspects your code at a semantic level. We also specifically analyse the security risks introduced by code produced with AI coding assistants.

Dynamic Application Security Testing (DAST) tests your running applications from an attacker's perspective. Our crawling engine fully supports modern SPAs (React, Vue, Angular) and scans dynamic content generated after JavaScript rendering. It identifies authentication bypasses, IDOR, BOLA, broken object level authorisation, session management flaws and server misconfigurations in the runtime environment.

Software Composition Analysis (SCA) assesses the security of every open-source component, library and transitive dependency used in your project. We continuously scan for known vulnerabilities (CVE) across the npm, PyPI, Maven, NuGet, Go modules and Cargo ecosystems, evaluate exploit likelihood with EPSS scoring and report licence compliance risks. We also apply an advanced behavioural analysis engine capable of catching supply chain backdoor attacks of the kind XZ Utils made critical in 2025.

Interactive Application Security Testing (IAST) combines the strengths of SAST and DAST, pinpointing vulnerabilities down to the source code line during runtime. Infrastructure as Code (IaC) scanning extends the analysis to security misconfigurations in your Terraform, CloudFormation, Kubernetes YAML, Helm chart and Docker files.

Our AI-powered false positive filtering engine evaluates every finding in context so that genuine risks rise to the top. Reports include an automated remediation suggestion and a secure code example for each vulnerability, allowing your development teams to act quickly.