msticpy | Microsoft Threat Intelligence Security Tools | Security library

 by   microsoft Python Version: 2.12.0 License: Non-SPDX

kandi X-RAY | msticpy Summary

kandi X-RAY | msticpy Summary

msticpy is a Python library typically used in Security applications. msticpy has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However msticpy has a Non-SPDX License. You can install using 'pip install msticpy' or download it from GitHub, PyPI.

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              msticpy has a medium active ecosystem.
              It has 1322 star(s) with 242 fork(s). There are 56 watchers for this library.
              There were 3 major release(s) in the last 12 months.
              There are 24 open issues and 141 have been closed. On average issues are closed in 248 days. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of msticpy is 2.12.0

            kandi-Quality Quality

              msticpy has 0 bugs and 0 code smells.

            kandi-Security Security

              msticpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              msticpy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              msticpy has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              msticpy releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 44933 lines of code, 2544 functions and 330 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed msticpy and discovered the below as its top functions. This is intended to give you an instant insight into msticpy implemented functionality, and help decide if they suit your requirements.
            • Apply la laplace smoothing
            • Performs la la la la la la la laplace
            • Given a list of cmds and a list of cmds compute the counts for each parameter
            • Computes the Laplace value counts for each parameter
            • Aggregate data into a DataFrame
            • Create a session column based on user identifier columns
            • Get network details
            • Creates a client if necessary
            • Set the credentials for the given client
            • Get metrics for a resource
            • Add script arguments
            • Screenshot screenshot
            • Performs a risky command line analysis
            • Compute the likelihoods for a single session
            • Create a host record from a syslog dataframe
            • Unpack multiple items from a dataframe
            • Get azure credentials
            • Given a data set of logon events return a dataframe of users who have the same time
            • Score scored sessions
            • Plotlier results
            • Setup buttons
            • Evaluate all notebook notebooks in src_path
            • Extract process tree
            • Construct an IpAddress record from the dataframe
            • Upload folder to MICpy
            • Mount a container
            Get all kandi verified functions for this library.

            msticpy Key Features

            No Key Features are available at this moment for msticpy.

            msticpy Examples and Code Snippets

            PHD 2021 Threat hunting with Jupyter and Sigma notes,My GitHub repos:
            Jupyter Notebookdot img1Lines of Code : 1dot img1no licencesLicense : No License
            copy iconCopy
              pip3 install -e 'git+https://github.com/aw350m33d/msticpy.git@mpsiem_data_provider#egg=msticpy[all]'
              

            Community Discussions

            QUESTION

            SyntaxError in Jupypter notebook for msticpy QueryProvider
            Asked 2020-Feb-11 at 06:39

            I'm making use of QueryProvider in msticpy.data.data_provider to run a Kusto query statement in Jupyter notebook.

            The purpose of the query is to extract a specific part of a string that is typically session (other text), where I want to extract the (other text) - hence the extract function in Line 5.

            As the content of the (other text) varies, I used the \w+ in the regex.

            I can't execute the query successfully as it keeps complaining of syntax error. I have tried to escape the characters but it seems to have no effect because the same error appear. Would anyone have an idea what is the issue? Or point me to any resources?

            Screenshot of current code and error returned

            ...

            ANSWER

            Answered 2020-Feb-11 at 01:39

            you need to escape the backslash (see: https://docs.microsoft.com/en-us/azure/kusto/query/scalar-data-types/string#string-literals)

            regardless, you'd be better off using the parse operator

            Source https://stackoverflow.com/questions/60160686

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install msticpy

            You can install using 'pip install msticpy' or download it from GitHub, PyPI.
            You can use msticpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            Full documentation is at ReadTheDocs. Sample notebooks for many of the modules are in the docs/notebooks folder and accompanying notebooks. You can also browse through the sample notebooks referenced at the end of this document to see some of the functionality used in context. You can play with some of the package functions in this interactive demo on mybinder.org.
            Find more information at:

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            Install
          • PyPI

            pip install msticpy

          • CLONE
          • HTTPS

            https://github.com/microsoft/msticpy.git

          • CLI

            gh repo clone microsoft/msticpy

          • sshUrl

            git@github.com:microsoft/msticpy.git

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