System for automated malicious software detection

A system for automated malicious software detection, the system comprising a computing device, the computing device comprising:

• a processor;
• and
• a memory communicatively connected to the processor, the memory containing instructions configuring the processor to:
• receive a software component, wherein the software component comprises at least an element of software metadata, wherein the at least an element of software metadata comprises a component name;
• obtain a source repository, wherein the source repository comprises at least an element of source metadata;
• identify a string distance between the at least an element of software metadata and the at least an element of source metadata, wherein identifying the string distance further comprises:
• determining a download count of the software component;
• determining a download count of the at least an element of source metadata;
• and
• determining the string distance as a function of a difference between the download count of the software component and the download count of the at least an element of source metadata;
• generate a malicious machine-learning model as a function of a malicious training set, wherein the malicious training set correlates a metadata difference to a malicious identifier;
• and
• determine a malicious quantifier as a function of the malicious machine-learning model and the string distance.