Unified parked domain detection system
OwnerZeyu You, Wei Wang +1inventors
InventorsZeyu You, Wei Wang, Yu Zhang
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Abstract
The present application discloses a method, system, and computer system for detecting parked domains. The method includes obtaining, by one or more processors, a set of webpages corresponding to a plurality of domains, extracting a plurality of features based on the set of webpages, detecting parked domains based on the plurality of features using a machine learning model, and periodically applying automatic signature generation to detect a new pattern of parked domains without retraining the machine learning model.
Claims21
A system, comprising:
- one or more processors configured to:
- obtain a set of webpages corresponding to a plurality of domains;
- extract a plurality of features based on the set of webpages, wherein the plurality of features comprise a set of HyperText Markup Language (HTML) features, a set of one or more HTTP Archive format (HAR) features, and a set of signature count features;
- detect parked domains based on the plurality of features using a machine learning model;
- and
- periodically apply automatic signature generation to detect a new pattern of parked domains without retraining the machine learning model;
- and
- a memory coupled to the one or more processors and configured to provide the one or more processors with instructions.
A method, comprising:
- obtaining, by one or more processors, a set of webpages corresponding to a plurality of domains;
- extracting a plurality of features based on the set of webpages, wherein the plurality of features comprise a set of HyperText Markup Language (HTML) features, a set of one or more HTTP Archive format (HAR) features, and a set of signature count features;
- detecting parked domains based on the plurality of features using a machine learning model;
- and
- periodically applying automatic signature generation to detect a new pattern of parked domains without retraining the machine learning model.
A computer program product embodied in a non-transitory computer readable medium and comprising computer instructions for:
- obtaining, by one or more processors, a set of webpages corresponding to a plurality of domains;
- extracting a plurality of features based on the set of webpages, wherein the plurality of features comprise a set of HyperText Markup Language (HTML) features, a set of one or more HTTP Archive format (HAR) features, and a set of signature count features;
- detecting parked domains based on the plurality of features using a machine learning model;
- and
- periodically applying automatic signature generation to detect a new pattern of parked domains without retraining the machine learning model.
Dependencies are inferred from the claim text.