1. A computerized method for classifying objects in a malware system, comprising: detecting behaviors of an object for classification after processing of the received object has started; collecting data associated with the detected behaviors; generating a fuzzy hash for the received object based on the data associated with the detected behaviors, the generating of the fuzzy hash includes: (i) removing a portion of the data associated with the detected behaviors to produce a remaining portion of the data associated with the detected behaviors, and (ii) performing a hash operation on the remaining portion of the data associated with the detected behaviors; comparing the fuzzy hash for the received object with a fuzzy hash of an object in a preexisting cluster to generate a similarity measure; associating the received object with the preexisting cluster in response to determining that the similarity measure is above a predefined threshold value; and reporting, via a communications interface, whether the received object is associated with the preexisting cluster.