1909 results about "Threat" patented technology

A system and method to detect and contain threatening executable code by employing a threat monitor, verifier, endpoint agent, and a security information and event management module.

Methods, systems and computer program products are disclosed for monitoring user login activity for a server application in a computer network. The methods, systems, and computer program products can monitor communication data between a server application and a client. The methods, systems, and computer program products can also include applying one or more detectors to the communication data to identify a variety of predetermined activity. Further, the methods, systems, and computer program products can include generating a threat score associated with the predetermined activity by comparing the identified predetermined activity with a security threshold criteria.

A dynamic protection system can analyze a computer system to determine its vulnerabilities to attack and generate a policy for protecting the computer system based on the identified vulnerabilities. Data received by the computer system can be analyzed to determine if it poses a threat to the system. This can prevent the data from entering the system or host based on a determination that the data poses a threat. Also, the dynamic protection system can receive policy updates to allow it to protect the system more efficiently and effectively. In other words, the dynamic protection system can protect an evolving computer system operating in an environment that is characterized by constantly changing methods of attack. Furthermore, by minimizing a need for manual intervention, attacks can be rapidly and accurately detected with a minimization of false positives, thereby lowering the cost of operation.

The invention relates to a method for evaluating the security situation of a network and a system thereof. The system has a two-surface three-level framework and is provided with a public service surface and a service management surface for executing uniform coordinated management on each functional module of the system; according to a service logic processing flow, the system is divided into three levels: an acquisition level, an analysis level and an exhibition level for completing four evaluating operations of assets, frangibility, threat and security situation; the invention is based on the characteristic of service operation in the network, combines the prior risk evaluation method, the prior flow and the prior security detection tool and provides a set of a novel dynamic real-time evaluation method. The system can analyze the assets and service of the network and the risk of the whole network and carries out the evaluation of the security situation. The system can provide the security state of the whole network in macroscopy, can deepen to specific service and assets and know the specific security problem, thereby effectively helping network security personnel to analyze the root of the security problem and assisting to provide a security solution proposal and implement a defense measure.

According to one embodiment, a threat detection system is integrated with at least a dynamic analysis engine. The dynamic analysis engine is configured to automatically detect a function call by an application, responsive to detecting the function call, analyze contents located at one or more addresses located within a portion of memory allocated for the application, and, based on the analysis, determine whether one or more objects included in received network traffic is associated with a return-oriented programming (ROP) exploit.

An exploit detection system deploys a threat-aware microvisor to facilitate real-time security analysis, including exploit detection and threat intelligence, of an operating system process executing on a node of a network environment. The microvisor may be organized as a main protection domain representative of the operating system process. In response to the process attempting to access a kernel resource for which it does not have permission, a capability violation may be generated at the main protection domain of the microvisor and a micro-virtual machine (VM) may be spawned as a container configured to encapsulate the process. The main protection domain may then be cloned to create a cloned protection domain that is representative of the process and that is bound to the spawned micro-VM. Capabilities of the cloned protection domain may be configured to be more restricted than the capabilities of the main protection domain with respect to access to the kernel resource. The restricted capabilities may be configured to generate more capability violations than those generated by the capabilities of the main protection domain and, in turn, enable further monitoring of the process as it attempts to access the kernel resource.

A method and system are described for detecting unauthorized access to one or more of a plurality of networked victim computers in a victim cloud. The networked victim computers connect to one or more DNS servers. The system includes one or more decoy bot computers, which are operated as victim computers in the victim cloud. The system also includes one or more decoy control computers, which are operated as control computers that communicate with victim computers in the victim cloud. Threats are identified by analyzing data traffic communicated with the decoy bot computers and decoy control computers for information suspected of having being sent from a victim's computer without proper authorization, and by monitoring whether behavior of a DNS server deviates from expected behaviors.

Disclosed is a system for detecting security threats in a local network. A security analytics system collects data about entities in the local network. The security analytics system identifies the entities in the raw data and determines a set of properties about each of the identified entities. The entity properties contain information about the entity and can be temporary or permanent properties about the entity. The security analytics system determines relationships between the identified entities and can be determined based on the entity properties for the identified properties. An entity graph is generated that describes the entity relationships, wherein the nodes of the entity graph represent entities and the edges of the entity graph represent entity relationships. The security analytics system provides a user interface to a user that contains the entity graph and the relationships described therein.

The present invention provides a system and method to provide a measurement of the risk that a computer network may have to computer security threats. The system includes a collocation facility that is coupled to a plurality of computer security management systems. Some or all of the vulnerability information is reported to the collocation facility. At the collocation facility, this information is compared to a standard. This comparison yields a number or other measurement of that organization's risk in its computer security. The collocation facility can then report this measurement to any information user that wishes to know what the vulnerability is for that organization.

A common software interface simplifies a process of configuring the network security features provided by network controlled devices. A real-time threat entity detection system automatically scans the network using various protocols and builds entity profile data for each detection. The entity profile data is saved and updated every time the entity is detected on the network. Once the scan is complete, the system user is prompted to classify each newly detected node as a member or non-member of the network. The system user can then define automatic actions to take upon identification of the existence of the defined threat entity on the network at any point in the future. For example, a typical action could include notifying the threat entity of its detection or sending continuous requests to the threat entity over the network to effectively eliminate the usefulness of its membership on the network. The software also contacts the network gateway or router and configures MAC address filtering and disables broadcast of the router's SSID, effectively making the network invisible to any devices other than the devices allowed on the network. Additionally, the solution provides a process to add new members to the network while security features are enabled.

The system and method described herein may include a configuration management database that describes every known service endpoint in a network datacenter to represent a steady state for the datacenter. One or more listeners may then observe traffic in the datacenter in real-time to detect network conversations initiating new activity in the datacenter, which may be correlated, in real-time, with the information in the configuration management database representing the steady state for the datacenter. Thus, in response to the new activity failing to correlate with the known service endpoints, a real-time security alert may be generated to indicate that any network conversations initiating such activity fall out-of-scope from the steady state for the information technology datacenter.

This document describes, among other things, systems and methods for more efficiently resuming a client-to-origin TLS session through a proxy layer that fronts the origin in order to provide network security services. At the time of an initial TLS handshake with an unknown client, for example, the proxy can perform a set of security checks. If the client passes the checks, the proxy can transmit a ‘proxy token’ upstream to the origin. The origin can incorporate this token into session state data which is passed back to and stored on the client, e.g., using a TLS session ticket extension field, pre-shared key extension field, or other field. On TLS session resumption, when the client sends the session state data, the proxy can recover its proxy token from the session state data, and upon successful validation, bypass security checks that it would otherwise perform against the client, thereby more efficiently handling known clients.

Computer security threat management information is generated by receiving a notification of a security threat and/or a notification of a test that detects intrusion of a computer security threat. A computer-actionable TMV is generated from the notification that was received. The TMV includes a computer-readable field that provides identification of at least one system type that is effected by the computer security threat, a computer-readable field that provides identification of a release level for a system type, and a computer-readable field that provides identification of the test that detects intrusion of the computer security threat for a system type and a release level, a computer-readable field that provides identification of a method to reverse the intrusion exploit of the computer security threat for a system type and a release level, and a computer-readable field that provides identification of a method to remediate the vulnerability subject to exploit of the computer security threat for a system type and a release level. The TMV is transmitted to target systems for processing by the target systems.

A system, computer program, and method of providing an automatic cooperative response ability to all members of a domain in light of a detected threat or other suspicious activity, such as, for example, a virus or denial of service attack, directed, at least initially, at less than all members of the domain. The system broadly comprises the domain; a log server; a detection server; and a profile server. The domain comprises a logical grouping of members having similar risk profiles. The detection server monitors and parses log and audit records generated by the members and copied to the log server. When the detection server identifies threatening or other suspicious activity it sets an alert status in a security profile stored on the profile server. The members periodically query the profile server for updates to the alert status and are thereby apprised of the alert.

The invention relates to the technical field of network security, in particular to an enterprise internal user abnormal behavior detection method and device, discloses an enterprise internal user abnormal behavior detection method, and further discloses an enterprise internal user abnormal behavior detection device. The enterprise internal user abnormal behavior detection device comprises a behavior log acquiring and preprocessing module, a behavior detail modeling module, a service state transfer prediction module and a malicious behavior score discrimination module. According to the enterprise internal user abnormal behavior detection method and device, an unsupervised machine learning method is used, a user behavior model is built by fully utilizing unmarked unhistorical behavior log data in an enterprise, the accurate rate of abnormal behavior detection is increased, the false reporting rate and the missing reporting rate are decreased, and an effective means is provided for detecting enterprise internal threats.

The invention relates to the technical field of network security, in particular to a network attack event traceability processing method and device, equipment and a storage medium. The method comprises the steps of obtaining a network attack clue related to a to-be-traced network attack event; performing intelligence mining on the network attack clue based on the constructed network threat association model to obtain threat intelligence related to the network attack event; taking the network attack clue and the threat intelligence as attack behavior elements corresponding to the network attackevent, and constructing a traceability analysis model containing an association relationship between the attack behavior elements; and determining a traceability path according to the association relationship between the target attack behavior elements in the traceability analysis model, and performing traceability on the network attack event based on the traceability path to obtain a traceability result of the network attack event. By adopting the method, accurate tracking and tracing of the network attack event can be realized, so that the security of a computer communication network is improved.