System and Method for Evaluating Penetration Testing Tools

    公开(公告)号:US20240152623A1

    公开(公告)日:2024-05-09

    申请号:US18052240

    申请日:2022-11-03

    CPC classification number: G06F21/577 G06F2221/033

    Abstract: A system and method for evaluating penetration testing tools. In one embodiment, a method includes generating a plurality of instructions, wherein the instructions comprise one or more security vulnerabilities for testing a web server, generating the web server, wherein the web server comprises the plurality of instructions with the one or more security vulnerabilities, receiving a penetration test result from a penetration testing tool executing on the web server, and computing a precision of the penetration testing tool for detecting the one or more security vulnerabilities.

    Application Vulnerability Score Based on Stack Traces

    公开(公告)号:US20230252162A1

    公开(公告)日:2023-08-10

    申请号:US17835074

    申请日:2022-06-08

    CPC classification number: G06F21/577 G06F21/52 G06F2221/033

    Abstract: A computing system for identifying and scoring problems associated with call stacks. The computing system identifies call stacks associated with an application and determines a problem occurs in the application. The computer system compares a call stack of a first set of applications with a call stack of a second set of applications, wherein the call stack of the first set of applications includes the problem and the call stack of the second set of applications does not include the problem. The computer system generates a score indicating a likelihood that a particular call stack caused the problem based on whether the particular call stack is included in the call stack of the first set of applications, the call stack of the second set of applications, or both. The computing system generates a notification comprising the score indicating the likelihood that the particular call stack caused the problem.

    PREDICTING APPLICATION AND NETWORK PERFORMANCE

    公开(公告)号:US20210320853A1

    公开(公告)日:2021-10-14

    申请号:US17355423

    申请日:2021-06-23

    Abstract: An application and network analytics platform can capture comprehensive telemetry from servers and network devices operating within a network. The platform can discover flows running through the network, applications generating the flows, servers hosting the applications, computing resources provisioned and consumed by the applications, and network topology, among other insights. The platform can generate various models relating one set of application and network performance metrics to another. For example, the platform can model application latency as a function of computing resources provisioned to and/or actually used by the application, its host's total resources, and/or the distance of its host relative to other elements of the network. The platform can change the model by moving, removing, or adding elements to predict how the change affects application and network performance. In some situations, the platform can automatically act on predictions to improve application and network performance.

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