Static DLL Feature Dataset for Malware Detection

This dataset comprises 1,777 entries of dynamic-link libraries (DLLs), with 700 labeled as benign and the remaining as malicious. Each entry contains static metadata attributes including MD5 hash, name, timestamps, subsystem, import/export functions, imphash, entropy, and indicators like packer presence and overlay. These features are commonly used in static analysis pipelines for malware detection and classification. This dataset supports the development of static malware detection models, particularly useful where dynamic analysis is impractical due to evasion techniques or resource constraints.