A system and method for identifying infection of unwanted software on an electronic device is disclosed. A software agent configured to generate a bait and is installed on the electronic device. The bait can simulate a situation in which the user performs a login session and submits personal information or it may just contain artificial sensitive information. Parameters may be inserted into the bait such as the identity of the electronic device that the bait is installed upon. The output of the electronic device is monitored and analyzed for attempts of transmitting the bait. The output is analyzed by correlating the output with the bait and can be done by comparing information about the bait with the traffic over a computer network in order to decide about the existence and the location of unwanted software. Furthermore, it is possible to store information about the bait in a database and then compare information about a user with the information in the database in order to determine if the electronic device that transmitted the bait contains unwanted software.

Method and system for protection against information stealing software

Various systems and methods are provided that display various interactive user interfaces containing interactive maps. The user may use the interactive map to perform searches for data objects, toggle different layers associated with different types of objects for display, generate heatmaps based upon a grid and/or data object shapes, copy data between different interactive maps, and/or define filters to filter the displayed data. In response to user interaction with the map at a client system, tile layers are generated using server-side components, assembled into map tiles, and transmitted to client-side components to be displayed to the user. The tile layers may include a base tile layer, vector tile layer, selection tile layer, and inactive tile layer.

Interactive geospatial map

In one embodiment, the present invention is a method and apparatus for generating highly predictive blacklists. One embodiment of a method for generating a blacklist of network addresses for a user of a network includes collecting security log data from users of the network, the security log data identifying observed attacks by attack sources, assigning the attack sources to the blacklist based on a combination of the relevance each attack source to the user and the maliciousness of the attack source, and outputting the blacklist.

Method and apparatus for generating highly predictive blacklists

One embodiment of the invention discloses a method for receiving in a virtual machine (VM) contents of a program for creating a virtual environment for interacting with a host platform in a computing device; and determining by the VM if the received contents comprise predetermined instructions for performing at least one unauthorized task. Another embodiment of the invention discloses a method for receiving a system call for a host platform in communication with a VM of a computing device; and determining by the VM if the received system call comprises at least one predetermined system call for performing at least one unauthorized task. Yet another embodiment of the invention discloses a method for receiving a virtualized memory address for a host platform in communication with a VM of a computing device; and determining by the VM if the received virtualized memory address comprises at least one predetermined unauthorized virtualized memory address.

Virtual machine to detect malicious code

In one aspect, a method of classifying a computer object as malware includes receiving at a base computer data about a computer object from each of plural remote computers on which the object or similar objects are stored. The data about the computer object received from the plural computers is compared in the base computer. The computer object is classified as malware on the basis of said comparison. In one embodiment, the data about the computer object includes one or more of : executable instructions contained within or constituted by the object; the size of the object; the name of the object; the logical storage location or path of the object on the respective remote computers; the vendor of the object; the software product and version associated with the object; and, events initiated by or involving the object when the object is created, configured or runs on the respective remote computers.

Methods and apparatus for dealing with malware

Embodiments of the invention address the problem of removing malicious code from infected computers.

Method and apparatus for removing harmful software

Method and apparatus for detecting harmful software

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Method and apparatus for removing harmful software

Method and apparatus for detecting harmful software