StringSifter is a machine learning tool that automatically ranks strings based on their relevance for malware analysis.
"This version of StringSifter was trained using Strings outputs from sampled malware binaries associated with the first EMBER dataset.
Ordinal labels were generated using weak supervision procedures, and supervised learning is performed by Gradient Boosted Decision Trees with a learning-to-rank objective function. See Quick Links for further technical details. Please note that neither labeled data nor training code is currently available, though we may reconsider this approach in future releases."
To read the complete article see: