Most SCA tools only provide a list of vulnerabilities found in your dependencies. SonarQube goes further by integrating SCA with Advanced SAST. This allows you to see if your code actually interacts with a vulnerable library, reducing noise and helping developers prioritize the fixes that actually reduce risk.

Common software supply chain attacks include compromising popular open source packages, inserting malicious code into build scripts or CI/CD pipelines, tampering with artifacts in registries, and abusing unverified third‑party services. 

In dependency‑focused attacks, adversaries may publish malicious updates to widely used libraries or exploit known vulnerabilities like Log4Shell, instantly impacting thousands of applications that transitively rely on the affected component. 

Other attack patterns focus on the development and delivery process itself—abusing compromised developer credentials, manipulating build environments, or poisoning artifacts so that every downstream consumer inherits the compromise. 

Because these attacks exploit existing trust relationships, they can remain undetected for long periods and are often discovered only after widespread damage has occurred, making prevention and early detection critical.

Strong software supply chain security starts with comprehensive inventory and governance: maintain an up‑to‑date view of all software components, enforce clear policies for third‑party usage, and conduct regular vulnerability scanning across your environment. 

Complement this with proactive vendor and OSS evaluation, continuous monitoring and threat intelligence, and a well‑defined incident response plan so you can react quickly when high‑profile vulnerabilities or breaches emerge. 

At the development level, integrate security into the SDLC with code review, automated testing, and developer training that emphasizes code quality and secure use of dependencies. 

Adopting frameworks like SLSA or related industry standards helps structure your efforts, while focusing on new code quality—sometimes described as quality at the source or a focus on new code—lets you enforce strong gates on every change without being blocked by legacy issues.