Abstract: Techniques for identifying misleading applications are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for identifying misleading applications comprising receiving a request for network data, parsing the request for network data, using a processor, to determine if one or more portions of the request match a suspicious indicator, identifying the suspicious indicator without using a known malware domain or a known malware signature, and performing a specified action in the event one or more portions of the request match a suspicious indicator.

Abstract: A computer-implemented method to detect a potentially malicious uniform resource locator (URL) is described. A presentation of a URL on a display of a computing device is detected. An actual URL associated with the URL presented on the display is obtained. The URL presented on the display is compared to the actual URL associated with the presented URL. If the URL presented on the display does not match the actual URL, the actual URL is prevented from being accessed.

Abstract: A security module on a client monitors file creations at the client and reports heritage data describing the monitored file creations to a security server. A file categorization module at the security server receives file heritage data reports from a plurality of clients. The heritage data reports identify parent files that created executable child files at the clients. The file categorization module filters the heritage data to identify and prioritize parent files that are not categorized. The file categorization module analyzes the uncategorized files in priority order to categorize the files as “expected executable file creators” or “executable file creators of interest.” The file categorization module reports the file categorization data to the security modules of the clients. The security modules use the file categorization data to identify malware at the clients.