@DisCo is a graph based datastore designed to organize firmware and software analysis data across builds, packages and systems, providing a highly scalable platform enabling automated binary software analysis tasks including corpora construction and storage for machine learning.
To request a copy of @DisCo, please fill out the @DisCo Request for Download form and email it to agradmin@inl.gov.
The 20-501-34_R3_Disco_Innovation_Sheet.pdf file in this repository provides an overview of the @DisCo softawre.
@DisCo was developed at Idaho National Laboratory for the DOE-CESER-CEDS funded Firmware Indicator Translation (FIT) project. The FIT project seeks to provide scalable tools for novel and efficient binary analysis. FIT currently uses @DisCo with advanced machine learning techniques to minimize reverse engineering efforts.
The @DisCo application is also being utilized by other DOE projects, Geo Threat Observables (GTO), Grid Modernization Laboratory Consortium (GMLC), Firmware Command and Control, and Deep Learning Malware.
@DisCo was presented at BSides Idaho (https://www.bsidesidaho.org/) on October 23, 2020. A video recording of the presentation is found below.
