Patents by Inventor Vyacheslav V. Zakorzhevsky

Vyacheslav V. Zakorzhevsky has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10127381
    Abstract: Systems and methods to detect malicious executable files having a script language interpreter by combining a script emulator and a machine code emulator. A system includes an analyzer configured to convert a script into pseudocode and monitor an emulation process of the pseudocode, a script emulator configured to sequentially emulate the pseudocode and write emulation results to an emulator operation log, and a machine code emulator configured to emulate the pseudocode if a transition from pseudocode to machine code is detected by the analyzer, such that the analyzer can analyze the emulator operation log to determine if the executable file is malicious.
    Type: Grant
    Filed: November 8, 2016
    Date of Patent: November 13, 2018
    Assignee: AO KASPERSKY LAB
    Inventors: Vyacheslav V. Zakorzhevsky, Dmitry V. Vinogradov, Vladislav V. Pintiysky, Dmitry A. Kirsanov
  • Patent number: 9659172
    Abstract: Disclosed are systems and methods for controlling execution of programs on a computer. An exemplary method includes detecting an unknown program installed on a computer; identifying undesirable actions performed by the unknown program on the computer, wherein the undesirable actions include at least one of: actions performed by the program without knowledge of a user, actions for accessing personal user data on the computer, and actions effecting user's working with other programs or operating system of the computer determining whether the unknown program is undesirable or not based on the identified undesirable actions of the program; when the unknown program is determined be undesirable, prompting the user to select whether to allow or prohibit execution of the undesirable program on the computer; and when the unknown program is determined not to be undesirable, allowing execution of the unknown program on the computer.
    Type: Grant
    Filed: June 13, 2016
    Date of Patent: May 23, 2017
    Assignee: AO Kaspersky Lab
    Inventors: Vyacheslav V. Zakorzhevsky, Alexander A. Romanenko, Sergey V. Dobrovolsky, Yuri G. Slobodyanuk, Oleg A. Yurzin, Mikhail A. Pavlyushchik, Alexander A. Stroykov, Alexander V. Amrilloev
  • Publication number: 20170091457
    Abstract: Systems and methods to detect malicious executable files having a script language interpreter by combining a script emulator and a machine code emulator. A system includes an analyzer configured to convert a script into pseudocode and monitor an emulation process of the pseudocode, a script emulator configured to sequentially emulate the pseudocode and write emulation results to an emulator operation log, and a machine code emulator configured to emulate the pseudocode if a transition from pseudocode to machine code is detected by the analyzer, such that the analyzer can analyze the emulator operation log to determine if the executable file is malicious.
    Type: Application
    Filed: November 8, 2016
    Publication date: March 30, 2017
    Inventors: Vyacheslav V. Zakorzhevsky, Dmitry V. Vinogradov, Vladislav V. Pintiysky, Dmitry A. Kirsanov
  • Publication number: 20170004305
    Abstract: Disclosed are systems and methods for controlling execution of programs on a computer. An exemplary method includes detecting an unknown program installed on a computer; identifying undesirable actions performed by the unknown program on the computer, wherein the undesirable actions include at least one of: actions performed by the program without knowledge of a user, actions for accessing personal user data on the computer, and actions effecting user's working with other programs or operating system of the computer determining whether the unknown program is undesirable or not based on the identified undesirable actions of the program; when the unknown program is determined be undesirable, prompting the user to select whether to allow or prohibit execution of the undesirable program on the computer; and when the unknown program is determined not to be undesirable, allowing execution of the unknown program on the computer.
    Type: Application
    Filed: June 13, 2016
    Publication date: January 5, 2017
    Inventors: Vyacheslav V. Zakorzhevsky, Alexander A. Romanenko, Sergey V. Dobrovolsky, Yuri G. Slobodyanuk, Oleg A. Yurzin, Mikhail A. Pavlyushchik, Alexander A. Stroykov, Alexander V. Amrilloev.
  • Patent number: 9501643
    Abstract: Systems and methods to detect malicious executable files having a script language interpreter by combining a script emulator and a machine code emulator. A system includes an analyzer configured to convert a script into pseudocode and monitor an emulation process of the pseudocode, a script emulator configured to sequentially emulate the pseudocode and write emulation results to an emulator operation log, and a machine code emulator configured to emulate the pseudocode if a transition from pseudocode to machine code is detected by the analyzer, such that the analyzer can analyze the emulator operation log to determine if the executable file is malicious.
    Type: Grant
    Filed: February 4, 2016
    Date of Patent: November 22, 2016
    Assignee: AO KASPERSKY LAB
    Inventors: Vyacheslav V. Zakorzhevsky, Dmitry V. Vinogradov, Vladislav V. Pintiysky, Dmitry A. Kirsanov
  • Patent number: 9390266
    Abstract: Disclosed are systems and methods for controlling installation of programs on a computer. An exemplary system is configured to detect installation of an unknown program on a computer; suspend installation of the unknown program; execute the unknown program in a secure environment; detect undesirable actions of the unknown program, including: actions performed by the program without knowledge of a user, actions for accessing personal user data on the computer, and actions effecting user's working with other programs or operating system of the computer; determine whether the unknown program is undesirable or not based on the detected undesirable actions of the program; when the unknown program is determined be undesirable, prompt the user to select whether to allow or prohibit installation of the undesirable program on the computer; and when the unknown program is determined not to be undesirable, allow installation of the unknown program on the computer.
    Type: Grant
    Filed: November 18, 2015
    Date of Patent: July 12, 2016
    Assignee: AO Kaspersky Lab
    Inventors: Vyacheslav V. Zakorzhevsky, Alexander A. Romanenko, Sergey V. Dobrovolsky, Yuri G. Slobodyanuk, Oleg A. Yurzin, Mikhail A. Pavlyushchik, Alexander A. Stroykov, Alexander V. Amrilloev
  • Patent number: 9348998
    Abstract: Disclosed are systems, methods and computer program products for detection of harmful files of different formats. An example method includes: receiving a suspicious file; determining a file format of the suspicious file; determining, using antivirus software, if the suspicious file is clean or harmful; and when the antivirus software fails to determine whether the suspicious file is clean or harmful, selecting, based on at least the file format of the suspicious file, a configuration of a virtual machine for analyzing a maliciousness of the suspicious file by at least: selecting a program associated with the file format of the suspicious file, opening the suspicious file using the associated program in the virtual machine, collecting data of at least one activity on the virtual machine, and analyzing the data to determine the maliciousness of the suspicious file.
    Type: Grant
    Filed: March 9, 2015
    Date of Patent: May 24, 2016
    Assignee: AO Kaspersky Lab
    Inventors: Vyacheslav V. Zakorzhevsky, Evgeny A. Aseev, Andrey V. Krukov, Anton M. Ivanov
  • Publication number: 20150356291
    Abstract: Disclosed are systems, methods and computer program products for detection of harmful files of different formats. An example method includes: receiving a suspicious file; determining a file format of the suspicious file; determining, using antivirus software, if the suspicious file is dean or harmful; and when the antivirus software fails to determine whether the suspicious file is clean or harmful, selecting, based on at least the file format of the suspicious file, a configuration of a virtual machine for analyzing a maliciousness of the suspicious file by at least: selecting a program associated with the file format of the suspicious file, opening the suspicious file using the associated program in the virtual machine, collecting data of at least one activity on the virtual machine, and analyzing the data to determine the maliciousness of the suspicious file.
    Type: Application
    Filed: March 9, 2015
    Publication date: December 10, 2015
    Inventors: Vyacheslav V. Zakorzhevsky, Evgeny A. Aseev, Andrey V. Krukov, Anton M. Ivanov
  • Patent number: 9015814
    Abstract: Disclosed are systems, methods and computer program products for detection of harmful files of different formats. An example method includes determining a suspicious file and a file format of the suspicious file; analyzing the suspicious file by an antivirus software to determine whether the suspicious file is clean or harmful; when the suspicious file is determined to be harmful by the antivirus software, generating a signature of the suspicious file and updating a collection of harmful files with the signature of the suspicious file; and when the suspicious file is not determined to be clean or harmful by the antivirus software, selecting, based on at least the file format of the suspicious file, a configuration of a virtual machine for analysis of the suspicious file, and analyzing the suspicious file by the virtual machine with selected configuration to determine whether the suspicious file is clean or harmful.
    Type: Grant
    Filed: June 10, 2014
    Date of Patent: April 21, 2015
    Inventors: Vyacheslav V. Zakorzhevsky, Evgeny A. Aseev, Andrey V. Krukov, Anton M. Ivanov