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    Automating trust in software upgrades
    1.
    发明授权
    Automating trust in software upgrades 有权

    公开(公告)号：US12107896B2

    公开(公告)日：2024-10-01

    申请号：US17560599

    申请日：2021-12-23

    Applicant: Cisco Technology, Inc.

    Inventor： Jeffrey G. Schutt ,  Max Pritikin

    IPC: H04L9/40 ,  G06F8/65 ,  G06F21/56 ,  G06F21/57 ,  G06N3/09 ,  G06N20/00 ,  G06F8/71 ,  G06F21/51

    CPC classification number: H04L63/20 ,  G06F8/65 ,  G06F21/563 ,  G06F21/566 ,  G06F21/577 ,  G06N3/09 ,  G06N20/00 ,  G06F8/71 ,  G06F21/51

    Abstract: A method, computer system, and computer program product are provided for automatically analyzing software packages to identify the degree of differences between compared software packages and to apply security policies. A first software bill of materials for a software package is processed to extract a plurality of components of the software package, wherein the first software bill of materials indicates a first hierarchy of components based on relationships between components. The first hierarchy is compared to a second hierarchy, the second hierarchy corresponding to a second software bill of materials, to determine a degree of difference between the first hierarchy and the second hierarchy. The degree of difference is compared to one or more threshold values. A security policy is applied with respect to the software package according to a comparison of the degree of difference to the one or more threshold values.

    AUTOMATIC GENERATION OF MALWARE DETECTION TRAPS
    2.
    发明公开
    AUTOMATIC GENERATION OF MALWARE DETECTION TRAPS 审中-公开

    公开(公告)号：US20240320339A1

    公开(公告)日：2024-09-26

    申请号：US18735835

    申请日：2024-06-06

    Applicant: Commvault Systems, Inc.

    Inventor： Oleg GOLDSHMIDT ,  Mori BENECH

    IPC: G06F21/56 ,  G06F21/51 ,  G06F21/55 ,  G06F21/57

    CPC classification number: G06F21/566 ,  G06F21/51 ,  G06F21/554 ,  G06F21/577 ,  G06F2221/034 ,  G06F2221/2125

    Abstract: A system and method of deployment of malware detection traps by at least one processor may include performing a first interrogation of a first Network Asset (NA) of a specific NA family; determining, based on the interrogation, a value of one or more first NA property data elements of the first NA; obtaining one or more second NA property data elements corresponding to the specific NA family; integrating the one or more first NA property data elements and the one or more second NA property data elements to generate a template data element, corresponding to the specific NA family; producing, from the template data element, a malware detection trap module; and deploying, on one or more computing devices of a computer network, one or more instantiations of the malware detection trap module as decoys of the first NA.

    MANAGING THE LOADING OF SENSITIVE MODULES
    6.
    发明公开
    MANAGING THE LOADING OF SENSITIVE MODULES 审中-公开

    公开(公告)号：US20240220637A1

    公开(公告)日：2024-07-04

    申请号：US18608098

    申请日：2024-03-18

    Applicant: Open Text Inc.

    Inventor： John R. Shaw, II ,  Andrew L. Sandoval

    IPC: G06F21/57 ,  G06F21/51 ,  G06F21/55 ,  G06F21/60

    CPC classification number: G06F21/577 ,  G06F21/51 ,  G06F21/552 ,  G06F21/604

    Abstract: The present disclosure relates to systems and methods for identifying highly sensitive modules and taking a remediation or preventative action if such modules are accessed by malicious software. For example, the likelihood that a module is used for an exploit, and is thus sensitive, is categorized as high, medium, or low. The likelihood that a module can be used for an exploit can dictate whether, and to what degree, an application accessing the module is “suspicious.” However, in some instances, a sensitive module may have legitimate reasons to load when used in certain non-malicious ways. The system may also consider a trust level when determining what actions to take, such that an application and/or user having a higher trust level may be less suspicious when accessing a sensitive module as compared to an application or user having a lower trust level.

    Techniques for securing network environments by identifying device attributes based on string field conventions
    10.
    发明授权
    Techniques for securing network environments by identifying device attributes based on string field conventions 有权

    公开(公告)号：US12026248B2

    公开(公告)日：2024-07-02

    申请号：US17344294

    申请日：2021-06-10

    Applicant: Armis Security LTD.

    Inventor： Ron Shoham ,  Tom Hanetz ,  Yuval Friedlander ,  Gil Ben Zvi

    IPC: G06F21/51 ,  G06F21/55

    CPC classification number: G06F21/51 ,  G06F21/552 ,  G06F2221/2141

    Abstract: A system and method for identifying device attributes based on string field conventions. A method includes applying at least one machine learning model to an application data set extracted based on a string indicated in a field of device data corresponding to a device, wherein each of the at least one machine learning model is trained based on a training data set including a plurality of second strings and a plurality of device attribute labels, wherein each device attribute label corresponds to a respective second string of the plurality of second strings, wherein each of the at least one machine learning model is configured to output a predicted device attribute for the device based on the first string; and identifying, based on the output of the at least one machine learning model, a device attribute of the device.

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