Acronis International Gmbh

Alexey Dod

Serguei M Beloussov

Stanislav Protasov

Vladimir Strogov

Vyacheslav Levchenko

Sergey Ulasen

Alexey Kostyushko

Anatoly Stupak

Nikolay Grebennikov

Valery Chernyakovsky

Oleg Ishanov

Alexey Sergeev

Valery Chernyakovskiy

Valeriy Chernyakovsky

Oleg Melnikov

Anton Enakiev

Valeriy Chernyakovskiy

The present disclosure includes methods and systems for protecting network resources. A method may start, by a processor, copy-on-write snapshotting for modifications to a plurality of files stored on electronic storage. A method may monitor, by the processor, access to objects within a file system associated with the electronic storage for a set of operations. A method may intercept, by the processor, one or more operation of the set of operations for modifying a region of a file in the file system. A method may capture, by the processor, one or more of original contents, modified contents and written contents of the region. A method may end, by the processor, copy-on-write snapshotting. A method may perform malware and/or ransomware analysis on a process performing the modification to the region of the file in the file system.

System and method for protecting network resources

Described herein are systems and methods for controlling access to a protected resource based on various criteria. In one exemplary aspect, a method comprises designating a plurality of program data installed on a computing system as protected program data; intercepting, by a kernel mode driver, a request from an untrusted application executing on the computing system to alter at least one of the protected program data; classifying, by a self-defense service, the untrusted application as a malicious application based on the intercepted request and information related to the untrusted application; and responsive to classifying the untrusted application as a malicious application, denying, by the kernel mode driver, access to the at least one of the protected program data.

Self-protection of anti-malware tool and critical system resources protection

Disclosed herein are systems and methods for preventing anti-forensics actions. In one exemplary aspect, a method may identify a suspicious object from a plurality of objects on a computing device and monitor actions performed by the suspicious object. The method may intercept a first command by the suspicious object to create and/or modify a digital artifact on the computing device and subsequent to intercepting the first command, intercept a second command by the suspicious object to delete at least one of the suspicious object and the digital artifact. In response to intercepting both the first command to create and/or modify the digital artifact and the second command to delete at least one of the suspicious object and the digital artifact, the method may block the second command, and may store the suspicious object and the digital artifact in a digital repository.

Systems and methods for countering removal of digital forensics information by malicious software

Disclosed herein are systems and method for performing recovery using a backup image. In one exemplary aspect, a method comprises scanning a plurality of files on one or more storage devices of a computing device. The method may determine a first set of files from the plurality of files that will be used during recovery of the one or more storage devices, and tag a second set of files that will not be used during recovery. The method may copy the second set of files that have been tagged to an external storage device, and may store the first set of files in a backup image for the computing device (excluding the tagged second set of files from the backup image). The method may add, to the backup image, a respective link to each of the tagged second set of files in the external storage device.

System and method of performing recovery using a backup image

A system and method is provided for detecting a suspicious process in an operating system environment. In an exemplary aspect, a method comprises generating, by a hardware processor, a file honeypot in a directory in a file system and receiving a directory enumeration request from a process executing in the operating system environment. The method comprises determining whether the process is identified in a list of trusted processes and in response to determining that the process is not in the list of trusted processes, providing, to the process by the file system, a file list including the file honeypot responsive to the directory enumeration request. The method further comprises intercepting, by a file system filter driver, a file modification request for the file honeypot from the process, and identifying the process as a suspicious object responsive to intercepting the file modification request from the process.

Systems and methods for detecting a suspicious process in an operating system environment using a file honeypots

Disclosed herein are systems and method for generating and storing forensics-specific metadata. In one aspect, a digital forensics module is configured to generate a backup of user data stored on a computing device in accordance with a backup schedule. The digital forensics module identifies, from a plurality of system metadata of the computing device, forensics-specific metadata of the computing device based on predetermined rules, wherein the forensics-specific metadata is utilized for detecting suspicious digital activity. The digital forensics module generates a backup of the forensics-specific metadata in accordance with the backup schedule and analyzes the forensics-specific metadata for an indication of the suspicious digital activity on the computing device. In response to detecting the suspicious digital activity based on the analysis, generates a security event indicating that the suspicious digital activity has occurred.

System and method for generating and storing forensics-specific metadata

Disclosed are systems and methods for detecting malicious applications. An exemplary method may comprise detecting that a first process has been launched on a computing device. The method may comprise receiving, from the first process, an execution stack associated with one or more control points of the first process. The method may comprise applying a machine learning classifier on the execution stack, wherein the machine learning classifier is configured to classify whether a process is malicious based on activity on control points captured on a given execution stack, and wherein a feature of a malicious process is detection of a system call to create a remote thread that runs in a virtual address space of a shared-service process configured to import third-party processes to be embedded as separate threads. The method may comprise generating an indication that the execution of the first process is malicious/non-malicious.

Systems and methods for detecting malicious processes

Aspects of the disclosure describe methods and systems for performing an antivirus scan using file level deduplication. In an exemplary aspect, prior to performing an antivirus scan on files stored on at least two storage devices, a deduplication module calculates a respective hash for each respective file stored on the storage devices. The deduplication module identifies a first file stored the storage devices and determines whether at least one other copy of the first file exists on the storage devices. In response to determining that another copy exists, the deduplication module stores the first file in a shared database, replaces all copies of the first file on the storage devices with a link to the first file in the shared database, and performs the antivirus scan on (1) the first file in the shared database and (2) the files stored on the storage devices.

System and method for performing an antivirus scan using file level deduplication

The present disclosure includes methods and systems for protecting network resources. An exemplary method comprises starting, by a processor, copy-on-write snapshotting for modifications to a plurality of files in storage, the modification initiated by a suspicious application, detecting, by the processor, a modification of a file of the plurality of files, determining, by the processor, whether the file is stored on a shared network resource or a local resource, in response to determining that the file is stored on a shared network resource, determining, by the processor, that a current region being modified is not already saved in a snapshot, and if the current region is not saved, saving the current region to a snapshot, marking, by the processor, the current region as being saved and analyzing all saved regions that were modified for malicious activity to determine that the suspicious application modifying the saved regions is malicious.

Disclosed are systems and methods for detecting malicious applications. The described techniques detect a first process has been launched on a computing device, and monitor at least one thread associated with the first process using one or more control points of the first process. An execution stack associated with the one or more control points of the first process is received from the first process. In response to detecting activity on the one or more control points of the first process, an indication that the execution of the first process is malicious is generated by applying a machine learning classifier to the received execution stack associated with the one or more control points of the first process.

Protecting against malware code injections in trusted processes

Disclosed herein are systems and method for storing and managing states of a computing device. In one aspect, an exemplary method comprises determining an initial state of the computing device, wherein the initial state includes states of all storage sectors associated with the computing device, storing the determined initial state in an initial blocks storage, for each new state that corresponds to a respective point in time subsequent to a time at which the initial state was determined, creating a snapshot, where the created snapshot includes a difference between the initial state and the new state, for each created snapshot, identifying a set of changed blocks that are in storage, and storing the changed blocks of data to a changed blocks storage, and creating a snap-map for any number of consecutive changes based on the sets of changed blocks corresponding to the respective consecutive changes.

Method and system for storing and managing states of a computer

A method is provided for protecting a file server from a ransomware attack. An exemplary method comprises assigning a session identifier to a remote session initiated with the file server, monitoring operations associated with the session identifier, determining whether the operations are suspicious according to a policy, creating a volume-level snapshot of files on the file server, determining that encryption of the data is occurring when entropy of the monitored data is growing faster than the predetermined threshold rate, classifying the remote session as having a calculated degree of danger when the operations match operations contained in previously observed suspicious behavior patterns, interrupting the remote session when a combination of the degree of danger and the entropy is greater than a predetermined threshold value and restoring the data on the file server using the volume-level snapshot to a state prior to the encryption and dangerous activity.

System and method for protection against ransomware attacks

A system and method is provided for detecting ransomware and malicious programs. An exemplary method comprises generating, by a hardware processor, a file honeypot in a directory in a filesystem, wherein the file honeypot is included on a file list of contents of the directory, receiving a directory enumeration request from a process executing in an operating system environment, determining whether the process is identified in a list of trusted processes based on one or more of a certificate, fingerprint, name, and process identifier, when the process is not found in the list of trusted processes, providing, by the filesystem, the file list including the file honeypot to the process responsive to receiving the directory enumeration request and otherwise, providing the file list excluding the file honeypot to the process, intercepting, by a filesystem filter driver, a file modification request for the file honeypot from the process when the file honeypot is included in the file list and identifying the process as a suspicious object responsive to intercepting the file modification request from the process.

Systems and methods for preventive ransomware detection using file honeypots

Methods and systems are disclosed herein for detecting malicious software executing on a plurality of computing devices. In an exemplary aspect, a method comprises collecting, from a plurality of agents executing on a respective computing device, analysis data corresponding to executables on the respective computing device, determining a suspicious activity pattern based on the received analysis data, determining that at least one executable on a computing device is malware based on the determined suspicious activity pattern, generating a plurality of remedial actions for protecting respective computing devices of the plurality of agents based on the suspicious activity pattern, and distributing, to the plurality of agents, the plurality of remedial actions to protect the respective computing device from the malware.

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Moscow, Russia

Alexey Dod