This technical solution relates to systems and methods of cyber attack detection, and more specifically it relates to analysis methods and systems for protocols of interaction of malware and cyber attack detection and control centres (servers). The method comprises: uploading the malware application into at least one virtual environment; collecting, by the server, a plurality of malware requests transmitted by the malware application to the malware control center; analyzing the plurality of malware requests to determine, for each given malware request: at least one malware request parameter contained therein; and an order thereof of the at least one malware request parameter. The method then groups the plurality of malware requests based on shared similar malware request parameters contained therein and order thereof and for each group of the at least one group containing at least two malware requests, generates a regular expression describing malware request parameters and order thereof of the group, which regular expression can be used as an emulator of the malware application.

A computing system for securely managing access to resources of a computing device receives an input at a secure login of a user interface. The computing system compares the input to a plurality of stored security measures and activates one of an operating system or a configuration of a false desktop system. A user interface of the false desktop system shares characteristics with a user interface of an operating system and restricts access to specified files, data stores, applications, networking functions, and/or ports associated with the computing system. When configured, the false desktop system or the operating system is enabled based on the location of the computing system. When configured, the false desktop system deletes files, data stores, and applications of the operating system.

Methods, systems, and apparatuses are described herein for improving the security of personal information by preventing attempts at gleaning personal information from authentication questions. A computing device may receive a request for access to an account associated with a user. The request may comprise candidate authentication information. Based on comparing the candidate authentication information with the account data, the computing device may generate a synthetic authentication question. The synthetic authentication question may be generated as if the candidate authentication information is valid. A response to the synthetic authentication question may be received, and the request for access to the account may be denied.

Disclosed herein are methods, systems, and processes for recovering opaque credentials in deception systems. A plaintext credential is received at a honeypot and a plaintext lookup table is accessed. It is determined that the plaintext credential does not exist in the plaintext lookup table and the plaintext credential is added to the plaintext lookup table and a protocol specific plaintext lookup table. An opaque credential is generated for the plaintext credential and the opaque credential is added to a protocol specific opaque lookup table.

A computing system for securely managing access to resources of a computing device receives an input at a secure login of a user interface. The computing system compares the input to a plurality of stored security measures and activates one of an operating system or a configuration of a false desktop system. A user interface of the false desktop system shares characteristics with a user interface of an operating system and restricts access to specified files, data stores, applications, networking functions, and/or ports associated with the computing system. When configured, the false desktop system or the operating system is enabled based on the location of the computing system. When configured, the false desktop system deletes files, data stores, and applications of the operating system.

A management system detects a change at the target device. The management system transmits a request message to authorization devices of the authorization users of the multi-user authorization pool to from the authorization users an indication of whether the detected change is approved. The management system receives a plurality of response messages from authorization devices of the multi-user authorization pool indicating whether the detected change is approved by the corresponding authorization user, and based on at least three of the plurality of response messages indicating a disapproval, that the detected change is disapproved. In response to the determination that the change is disapproved, an instruction message is sent to a target managed device to instruct the target managed device to rollback to an earlier state.

A computer-implemented method, a computer program product, and a computer system for creating malware domain sinkholes by domain clustering. The computer system clusters malware domains into domain clusters. The computer system collects domain metrics in the domain clusters. The computer system sorts clustered malware domains in the respective ones of the domain clusters, based on the domain metrics. The computer system selects, from the clustered malware domains in the respective ones of the domain clusters, a predetermined number of top domains as candidates of respective domain sinkholes, wherein the respective domain sinkholes are created for the respective ones of the domain clusters.

A controller emulator, coupled to an interface that exposes the controller emulator to inputs from external sources, provides one or more control signals to a process simulator and a deep learning process. In response, the process simulator simulates response data that is provided to the deep learning processor. The deep learning processor generates expected response data and expected behavioral pattern data for the one or more control signals, as well as actual behavioral pattern data for the simulated response data. A comparison of at least one of the simulated response data to the expected response data and the actual behavioral pattern data to the expected behavioral pattern data is performed to determine whether anomalous activity is detected. As a result of detecting anomalous activity, one or more operations are performed to address the anomalous activity.

The data protection system includes: a data protection storage device; and an agent program disposed on a user terminal or a service server to perform an interlocking operation with the data protection storage device via network, wherein the data protection system determines whether an open request meets an acceptance condition according to prespecified data protection rules when there is the ‘open request’ from a host device on a file stored in the data protection storage device, and returns a fake file, which is not an original file of the ‘open-requested file’, to the host device when the ‘open request’ does not meet the acceptance condition.

Various automated techniques are described herein for the runtime detection/neutralization of malware executing on a computing device. The foregoing is achievable during a relatively early phase, for example, before the malware manages to encrypt any of the user's files. For instance, a malicious process detector may create decoy file(s) in a directory. The decoy file(s) may have attributes that cause such file(s) to reside at the beginning and/or end of a file list. By doing so, a malicious process targeting files in the directory will attempt to encrypt the decoy file(s) before any other file. The detector monitors operations to the decoy file(s) to determine whether a malicious process is active on the user's computing device. In response to determining that a malicious process is active, the malicious process detector takes protective measure(s) to neutralize the malicious process.