Machine learning techniques for web resource fingerprinting

One or more non-transitory computer readable media (NTCRM) comprising instructions for machine learning (ML), wherein execution of the instructions by a hardware processor is to cause the hardware processor to:

• identify one or more features from training data comprising a set of information objects (InObs) with known classifications, each InOb of the set of InObs comprising one or more nodes, the one or more features including structural semantics for respective InObs of the set of InObs, the structural semantics comprising a data structure representative of relationships between the one or more nodes of the respective InObs;
• train an ML model to identify classifications of InObs not among the set of InObs based on the features identified from the training data and the known classifications of the set of InObs;
• identify features from an unclassified InOb with an unknown classification, the identified features of the unclassified InOb including a set of nodes of the unclassified InOb;
• and
• apply the identified features of the unclassified InOb to the trained ML model to predict a classification for the unclassified InOb based on structural semantics of the unclassified InOb, the structural semantics of the unclassified InOb being based on relationships among nodes of the set of nodes.