Service Introduction
Source Code Component Composition Analysis(SCA) is a technology that conducts a deep scan of software source code, aiming to identify all third-party open-source components referenced in the project and their version information. ProceedSource Code Component Composition AnalysisIt can help enterprises clearly grasp the "genetic map" of software and effectively avoid system crashes caused by the introduction of malicious or outdated components.Data leakageandIntellectual property disputesIt is a key link in ensuring the security of the software supply chain.
We will adopt the industry-leading automated SCA analysis tools, combined with manual reviews by security experts, and conduct comprehensive detection of the target software based on international authoritative vulnerability databases such as CVE, NVD, OWASP Top 10, and mainstream open-source license agreements. The test content coversIdentification of Open source ComponentsKnown vulnerabilities"Investigation"(Such as CVE/CNVD), licensesCompliance analysis(GPL/MIT/Apache, etc.) and code referencesTraceability. By deeply analyzing the component dependency relationships, a legally binding"Source Code Component Composition AnalysisThe report provides customers with a clear risk list, vulnerability repair suggestions and compliance rectification plans.
Source Code Component Composition Analysis(SCA) is widely applied in the security check-up before the release of software products, the acceptance of information technology projects by governments and enterprises, the adaptation assessment of the information technology innovation industry, and the continuous integration stage in the DevSecOps process.
