BIT-LEVEL DATA EXTRACTION AND THREAT DETECTION

Techniques and architectures include representing data with one or more n-dimensional representations and using one or more analysis models to identify target properties associated with the one or more n-dimensional representations. For example, data can be represented as a plurality of points in a coordinate system. A set of points in the plurality of points can be identified and an n-dimensional model can be generated for the set of points. The n-dimensional model can be compared to a plurality of n-dimensional models that are tagged as including a target property associated with malicious behavior, benign behavior, and/or a vulnerability. Based on the comparison, a likelihood can be determined that the data includes the target property.