Abstract: A method of continuous development of an internal threat scan engine based on an iterative quality assessment includes iteratively performing a dynamic assessment of a quality of a threat detection with a frequency defined for each of objects in an object collection, wherein a result of the dynamic assessment includes internal and external scan results of the objects and a consistency verdict of the internal and external scan results of the objects, changing a frequency of scanning iteration of the objects based on the consistency verdict of the external and internal scan results of the objects, classifying the objects based on the result of the dynamic assessment, and creating a development task including the internal and external scan results of the objects, meta-data of the objects, and automated test results to provide details for developing a software to fix inconsistency of the internal and external scan results.

Abstract: A system for detection of binary files containing a known malware code fragment includes a processor coupled to a memory storing instructions, the processor being configured to implement the instructions to process an unknown binary file (UBF) and a known malicious source code file (KMSCF) to decompile the UBF into a text-based unknown source code (USC) and identify whether the KMSCF is contained within the USC.

Abstract: Disclosed herein are systems and method for anti-malware scanning, including identifying a plurality of objects in a backup archive that is connected to a first network comprising a plurality of computing devices; scanning the plurality of objects in the backup archive to generate a whitelist indicating a subset of the plurality of objects that do not need to be scanned at a subsequent time; performing, using the whitelist, a first malware scan in a computing device of the plurality of computing devices; detecting that the computing device has left the first network to join a second network; and performing a second malware scan on the computing device, wherein the second malware scan uses a different whitelist of the second network, and wherein the second malware scan comprises scanning a first object that is not in the different whitelist and was not scanned in the first malware scan.

Abstract: The IOC Infrastructure management system (100) and method is disclosed for building an IOC infrastructure and its management thereof. The system mainly includes a IOC processing unit and an endpoint engine. The IOC processing unit is configured to i) source raw IOCs from a plurality of external sources, ii) convert format of the raw IOCs into a predetermined format of an IOC database using a parser unit, where each parser of the parser unit corresponds to at least one IOC format, iii) build and apply syntax tree to the parsed IOCs, where the syntax tree supports complex expression-based toolsets, such as YARA, and sort the IOCs lexicographically to avoid duplication of IOC entry and render the malware detection scanning process faster and efficient.

Abstract: A method for creating a collection with optimized family-specific signatures for protecting from malware includes collecting statistics of potential signatures for chosen sample attribute vectors, the statistics of potential signatures being collected for clean files and malware files, estimating a probability to find a potential signature in the clean files, grouping malware files with the same signature in clusters (families), choosing the most optimal signature for the malware family files based on a predefined target function, and exporting a collection with optimized family-specific signatures configured to be implemented by scan engines.

Abstract: Disclosed herein are systems and method for inspecting archived slices for malware. In one exemplary aspect, the method comprises identifying a first slice in a plurality of slices in a backup archive, wherein the first slice is an image of user data at a first time. The method comprises scanning the first slice of the plurality of slices in the backup archive and detecting at least one infected file in the first slice. The method comprises identifying a block of the first slice that corresponds to the at least one infected file. The method comprises mounting, to a disk, a second slice of the plurality of slices. The method comprises tracking the block and determining that the at least one infected file exists on the second slice and removing the infected file from the second slice by generating a respective cured slice of the second slice.

Abstract: A system for detection of files not matching a known malware file in a computing environment that includes a processor coupled to a memory storing instructions to permit the processor to function as an analyzer. The analyzer is configured to receive, as input, an unknown file and the known malware file, compare the unknown file to the known malware file by comparing N (where N is greater of equal to 1) blocks B1, ..., BN of lengths L1, ..., LN located at offsets O1, ..., ON such that the number of blocks, lengths and offsets are calculated according to pre-defined algorithm, and output a value indicating that the unknown file is different from the known malware file if exists at least one j that a Bj block of the unknown file is different from a Bj block of the known malware file.

Abstract: Disclosed herein are systems and methods for classifying organizational structure for implementing data protection policies. In one exemplary aspect, a method may comprise retrieving a plurality of data files of an organization, wherein the plurality of data files are stored in a data storage; retrieving structural information of the organization, the structural information comprising details of user accounts, organizational roles, and file metadata within the organization; classifying the structural information into an organization type of a plurality of organization types; classifying each respective data file of the plurality of data files into a respective topic of a plurality of topics, wherein the plurality of topics are associated with the organization type; generating a data protection policy for the organization based on each respective topic of the plurality of data files and the organization type; and executing the data protection policy on the data storage.

Abstract: Disclosed herein are systems and method for restoring a clean backup after a malware attack. In one aspect, a method forms a list of files that are of a plurality of designated file types that can be infected by malicious software. The method performs one or more snapshots of the files according to a predetermined schedule over a predetermined period of time and performs one or more backups. The method determines that a malware attack is being carried out on the computing device and generates a list of dangerous objects that spread the malware attack. The method compares the list of dangerous objects with the one or more snapshots to determine when the malware attack occurred. The method identifies a clean backup that was created most recently before the malware attack as compared to other backups and recovers data for the computing device from the clean backup.

Abstract: Disclosed herein are systems and method for anti-malware scanning, including identifying a plurality of objects in a backup archive that is connected to a first network comprising a plurality of computing devices; scanning the plurality of objects in the backup archive to generate a whitelist indicating a subset of the plurality of objects that do not need to be scanned at a subsequent time; performing, using the whitelist, a first malware scan in a computing device of the plurality of computing devices; detecting that the computing device has left the first network to join a second network; and performing a second malware scan on the computing device, wherein the second malware scan uses a different whitelist of the second network, and wherein the second malware scan comprises scanning a first object that is not in the different whitelist and was not scanned in the first malware scan.

Abstract: Disclosed herein are systems and method for detecting passwords vulnerable to compromise. In one exemplary aspect, a method comprises identifying a plurality of files in at least one storage device of an organization. For each respective file in the plurality of files, in response to determining that the respective file type is in the database of vulnerable file types, the method comprises parsing text in the respective file and identifying, for the respective file, at least one demographic associated with the organization. The method further comprises retrieving dictionaries and expressions specific to the at least one demographic and determining the text in the respective file comprises a password using the retrieved dictionaries and expressions of the at least one demographic. In response to determining that the text comprises the password, the method comprises generating a security alert for an administrator of the storage device.

Abstract: A system and method for firewall policy control in a system comprising endpoints, including functionality for isolating network elements on endpoints under management. An endpoint management agent cooperates with a remote management service to carry out policy management and synchronization, implement isolation mode when required, and perform related supporting tasks.

Abstract: A system and method for detecting malware using hierarchical clustering analysis. Unknown files classified by clustering and in view of known malicious and known safe files. Machine learning models and detection rules are used to enhance classification accuracy.

Abstract: Disclosed herein are systems and method for scanning objects of a computing device, by an anti-malware, using a white list created for an organization based on data of the organization. In one aspect, an exemplary method comprises obtaining one or more objects of the organization from the computing device, and for each obtained object of the one or more objects, computing a hash value of the obtained object, determining whether the obtained object is whitelisted, and scanning the obtained object based on whether the obtained object is whitelisted, wherein the whitelist is created based on scanning of objects stored in archives of the organization, and the obtained object is determined as being whitelisted when the computed hash value of the obtained object matches a hash value of an object in a whitelist created for the organization.

Abstract: Disclosed herein are systems and method for preventing malware reoccurrence when restoring a computing device using a backup image. In one exemplary aspect, a method may identify, from a plurality of backup images for a computing device, a backup image that was created most recently before the computing device was compromised. The method may mount the backup image as a disk and scanning the disk for malicious software. The method may disable all ports and services on the computing device to prevent unauthorized network connections and service launches. The method may restore data to the computing device from the mounted disk. The method may update software on the computing device and applying latest patches, and reopen the ports and restart the services on the computing device subsequent to updating the software and applying the latest patches.

Abstract: A system and method for implementing management of a system context database is disclosed herein. The system context from a target computing system is collected. The system context is set in accordance with the configuration status of a context consumer. The context consumer includes one or more data security components. A system context database is initialized in response to the configuration status. The collected system context is restored in a cache. The attributes from the cache are provided to the context consumer where the attributes are compared with predefined attributes of the known malware threats. Each data security component of the context consumer is configured to access the cache in a synchronized manner to avoid duplication of the scanning process. The comparison result indicates the presence of a malware threat.

Abstract: Disclosed herein are systems and method for inspecting archived slices for malware using empty spare files. In one exemplary aspect, the method comprises generating a backup slice and a virtual volume comprising a list of files in the backup slice and associated file information. The method comprises mounting the virtual volume to a disk. The method comprises creating, in the virtual volume, empty sparse files that are placeholders of the files reference in the list of files. The method comprises detecting a change between a respective empty sparse file and a corresponding file in a previous backup slice and accordingly storing the actual content of the file in the virtual volume in place of the respective empty sparse file. The method comprises scanning the virtual volume for malicious software and generating a cured slice that replaces the backup slice in the backup archive upon detection.

Abstract: The IOC Infrastructure management system (100) and method is disclosed for building an IOC infrastructure and its management thereof. The system mainly includes a IOC processing unit and an endpoint engine. The IOC processing unit is configured to i) source raw IOCs from a plurality of external sources, ii) convert format of the raw IOCs into a predetermined format of an IOC database using a parser unit, where each parser of the parser unit corresponds to at least one IOC format, iii) build and apply syntax tree to the parsed IOCs, where the syntax tree supports complex expression-based toolsets, such as YARA, and sort the IOCs lexicographically to avoid duplication of IOC entry and render the malware detection scanning process faster and efficient.

Abstract: A method of continuous development of an internal threat scan engine based on an iterative quality assessment includes iteratively performing a dynamic assessment of a quality of a threat detection with a frequency defined for each of objects in an object collection, wherein a result of the dynamic assessment includes internal and external scan results of the objects and a consistency verdict of the internal and external scan results of the objects, changing a frequency of scanning iteration of the objects based on the consistency verdict of the external and internal scan results of the objects, classifying the objects based on the result of the dynamic assessment, and creating a development task including the internal and external scan results of the objects, meta-data of the objects, and automated test results to provide details for developing a software to fix inconsistency of the internal and external scan results.

Abstract: Aspects of the disclosure relate to the field of detecting a behavioral anomaly in an application. In one exemplary aspect, a method may comprise retrieving and identifying at least one key metric from historical usage information for an application on a computing device. The method may comprise generating a regression model configured to predict usage behavior associated with the application and generating a statistical model configured to identify outliers in the data associated with the at least one key metric. The method may comprise receiving usage information in real-time for the application. The method may comprise predicting, using the regression model, a usage pattern for the application indicating expected values of the at least one key metric. In response to determining that the usage information does not correspond to the predicted usage pattern and does not comprise a known outlier, the method may comprise detecting the behavioral anomaly.