A computer-implemented method, computerized apparatus and computer program product for monitoring traffic in a computer network. The computer network comprises a plurality of devices configured to apply a transformation function on a target port identifier of a requested transmission by an application program executing thereon and direct the transmission to a different target port per the scrambled identifier thereby obtained. The transformation function depends on at least one parameter shared among the plurality of devices and applying thereof is conditioned on the application program requesting transmission being listed in a list of authorized application programs. Attempts to access invalid ports as defined by the transformation function are identified and an action for mitigating a security threat ascribed thereto is provided.

Web-filtering operations may be implemented on the user device, rather than on a centralized proxy server, to improve reliability, performance, and/or security of the web-filtering operations. Some or all of the necessary functions related to web-filtering may be performed on the end user device to remove the complexity and security issues inherent with the current methodology. One technique for allowing operation of proxy servers on user devices is to install smart agents on the user device. The smart agents, under control of a management server, may configure the proxy server, issue trust certificates to applications on the device, and/or provide proxy access configuration (PAC) files to applications on the device.

Systems, methods, and software described herein enhances how security actions are implemented within a computing environment. In one example, a method of implementing security actions for a computing environment comprising a plurality of computing assets includes identifying a security action in a command language for the computing environment. The method further provides identifying one or more computing assets related to the security action, and obtaining hardware and software characteristics for the one or more computing assets. The method also includes translating the security action in the command language to one or more action procedures based on the hardware and software characteristics, and initiating implementation of the one or more action procedures in the one or more computing assets.

A method may include obtaining a request to unblock a predetermined website in a network and that is associated with a predetermined list. The predetermined list may be used to determine whether a respective user device among various user devices can access one or more websites. The method may further include determining an impact level of the predetermined website for an organization using a machine-learning algorithm and website gateway data. The method may further include determining a probability of a security breach using the machine-learning algorithm and threat data. The method may further include determining whether to unblock the predetermined website based on the impact level and the probability of a security breach. The method may further include transmitting, in response to determining that the predetermined website should be unblocked, a command that modifies the predetermined list to enable the respective user device to access the predetermined website.

There is disclosed in one example a gateway apparatus, including: a hardware platform including a processor and a memory; and instructions stored within the memory to instruct the processor to: provide a domain name system (DNS) server, the DNS server to provide an encrypted DNS service, and to cache resolved domain names; receive an outgoing network packet; determine a destination address of the outgoing network packet; and upon determining that the destination address was not cached, apply a security policy.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a spam telephone call reducer are disclosed. In one aspect, a method includes the actions of receiving first telephone call data that reflects telephone calls received by a first user and second telephone call data that reflects telephone calls received by a second user. The actions further include comparing the first telephone call data and the second telephone call data. The actions further include determining that the first user received more spam telephone calls than the second user. The actions further include determining a first characteristic of the first user and a second characteristic of the second user. The actions further include determining an action that increases a similarity of the first characteristic to the second characteristic. The actions further include performing the action on the first characteristic.

A device processes a communication between a source and user equipment. The user equipment is one of a plurality of user equipment connected to a network and the user equipment is associated with an entity. The device determines that the communication is associated with an anomalous traffic pattern. The device implements a provisional blocking of traffic between the source and the plurality of user equipment connected to the network and generates a filtering rule based on determining the anomalous traffic pattern, where the filtering rule prescribes that traffic between the source and the second user equipment is to be blocked. The device transmits a notification to the entity associated with the user equipment that requests that the entity affirm the filtering rule, and the device blocks traffic between the source and the user equipment based on the entity affirming the filtering rule.

Described systems and methods enable a swift and efficient detection of fraudulent Internet domains, i.e., domains used to host or distribute fraudulent electronic documents such as fraudulent webpages and electronic messages. Some embodiments use a reverse IP analysis to select a set of fraud candidates from among a set of domains hosted at the same IP address as a known fraudulent domain. The candidate set is further filtered according to domain registration data. Online content hosted at each filtered candidate domain is further analyzed to identify truly fraudulent domains. A security module may then prevent users from accessing a content of such domains.

Systems and methods are described that mitigates and/or prevents distributed denial-of-service (DDOS) attacks. In one implementation, a gateway include one or more processors configured to obtain network data from one or more entities associated with the gateway, provide the network data to a server, and obtain a set of entity identifiers from the server. The set of entity identifiers may be generated based on at least the network data. The one or more processors may be further configured to filter communications based on the set of entity identifiers.

A network security device has at least one Fully Qualified Domain Name (FQDN) access policy that permits traffic to flow to at least one resource associated with at least one FQDN. The network security device receives, from a managed endpoint device, a packet directed to the at least one resource associated with the at least one FQDN. The network security device obtains DNS information associated with the managed endpoint device and, based on the domain name system (DNS) information, substitutes a network address of the at least one resource into the at least one FQDN access policy to open a traffic flow to the at least one resource associated with the at least one FQDN. The network security device then provides the packet to the at least one resource associated with the at least one FQDN.