Facebook, Inc.

Chetan Gowda

Siddharth Kar

Pedram Keyani

Paul Christopher Jeffries

Nicholas Philip Gianos

Allan Stewart

Eugene Zarakhovsky

Brent Dorman

Christopher Palow

In particular embodiments, a method comprises accessing, by one or more computing systems associated with a social-networking system, a structured document of a network application, the structured document comprising structural information and content comprising one or more embedded scripts, resources, or identifiers for the resources. The method further comprises processing the structured document to generate a model representation of the structured document, executing at least some of the content of the structured document and logging multiple snapshots of the model representation of the structured document as the model representation is generated in response to one or more interactions initiated by execution of the content. The method further comprises creating a behavior model of the network application based on the multiple snapshots of the model representation of the structured document and determining, based on the behavior model, compliance by the network application with one or more requirements of the social-networking system.

Infrastructure enabling intelligent execution and crawling of a web application

In one embodiment, a method includes accessing a structured document of a network application, processing the structured document to generate a model representation of the structured document, tracking one or more interactions occurring during the processing of the structured document, the one or more interactions including one or more outgoing requests transmitted by the one or more computing systems or incoming responses received by the one or more computing systems, and generating a behavior model of the web application based on one or more of the interactions.

A method of operation of a URL spam detection system includes: identifying a feature dimension of a user action on a social networking system to detect anomalies; extracting URL chunks from a content associated with the user action; aggregating a non-content feature of the user action along the feature dimension into a URL distribution store to produce a feature distribution for each of the URL chunks; determining whether the feature distribution of a particular URL chunk within the URL chunks exceeds an expectation threshold for the feature dimension; and classifying the particular URL chunk as an illegitimate URL when the feature distribution exceeds the expectation threshold to restrict access to a particular URL chunk on a social networking system.

Methods and systems of classifying spam URL

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Mountain View, CA, United States of America

Chetan Gowda