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아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Cloud-native SIEM for intelligent security analytics for your entire enterprise.
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Welcome to the unified Microsoft Sentinel and Microsoft 365 Defender repository! This repository contains out of the box detections, exploration queries, hunting queries, workbooks, playbooks and much more to help you get ramped up with Microsoft Sentinel and provide you security content to secure your environment and hunt for threats. The hunting queries also include Microsoft 365 Defender hunting queries for advanced hunting scenarios in both Microsoft 365 Defender and Microsoft Sentinel. You can also submit to issues for any samples or resources you would like to see here as you onboard to Microsoft Sentinel. This repository welcomes contributions and refer to this repository's wiki to get started. For questions and feedback, please contact [email protected]
We value your feedback. Here are some channels to help surface your questions or feedback:
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
Note: If you are a first time contributor to this repository, General GitHub Fork the repo guidance before cloning or Specific steps for the Sentinel repo.
Brand new or update to a contribution via these methods:
As part of the PR checks we run a structure validation to make sure all required parts of the YAML structure are included. For Detections, there is a new section that must be included. See the contribution guidelines for more information. If this section or any other required section is not included, then a validation error will occur similar to the below. The example is specifically if the YAML is missing the entityMappings section:
A total of 1 test files matched the specified pattern.
[xUnit.net 00:00:00.95] Kqlvalidations.Tests.DetectionTemplateStructureValidationTests.Validate_DetectionTemplates_HaveValidTemplateStructure(detectionsYamlFileName: "ExcessiveBlockedTrafficGeneratedbyUser.yaml") [FAIL]
X Kqlvalidations.Tests.DetectionTemplateStructureValidationTests.Validate_DetectionTemplates_HaveValidTemplateStructure(detectionsYamlFileName: "ExcessiveBlockedTrafficGeneratedbyUser.yaml") [104ms]
Error Message:
Expected object to be <null>, but found System.ComponentModel.DataAnnotations.ValidationException with message "An old mapping for entity 'AccountCustomEntity' does not have a matching new mapping entry."
As part of the PR checks we run a syntax validation of the KQL queries defined in the template. If this check fails go to Azure Pipeline (by pressing on the errors link on the checks tab in your PR) In the pipeline you can see which test failed and what is the cause:
Example error message:
A total of 1 test files matched the specified pattern.
[xUnit.net 00:00:01.81] Kqlvalidations.Tests.KqlValidationTests.Validate_DetectionQueries_HaveValidKql(detectionsYamlFileName: "ExcessiveBlockedTrafficGeneratedbyUser.yaml") [FAIL]
X Kqlvalidations.Tests.KqlValidationTests.Validate_DetectionQueries_HaveValidKql(detectionsYamlFileName: "ExcessiveBlockedTrafficGeneratedbyUser.yaml") [21ms]
Error Message:
Template Id:fa0ab69c-7124-4f62-acdd-61017cf6ce89 is not valid Errors:The name 'SymantecEndpointProtection' does not refer to any known table, tabular variable or function., Code: 'KS204', Severity: 'Error', Location: '67..93',The name 'SymantecEndpointProtection' does not refer to any known table, tabular variable or function., Code: 'KS204', Severity: 'Error', Location: '289..315'
If you are using custom logs table (a table which is not defined on all workspaces by default) you should verify your table schema is defined in json file in the folder Azure-Sentinel\.script\tests\KqlvalidationsTests\CustomTables
Example for table tablexyz.json
{
"Name": "tablexyz",
"Properties": [
{
"Name": "SomeDateTimeColumn",
"Type": "DateTime"
},
{
"Name": "SomeStringColumn",
"Type": "String"
},
{
"Name": "SomeDynamicColumn",
"Type": "Dynamic"
}
]
}
In order to run the KQL validation before submitting Pull Request in you local machine:
Azure-Sentinel\\.script\tests\KqlvalidationsTests\dotnet testExample of output (in Ubuntu):
Welcome to .NET Core 3.1!
----------------------
SDK Version: 3.1.403
Telemetry
---------
The .NET Core tools collect usage data in order to help us improve your experience. The data is anonymous. It is collected by Microsoft and shared with the community. You can opt-out of telemetry by setting the DOTNET_CLI_TELEMETRY_OPTOUT environment variable to '1' or 'true' using your favorite shell.
Read more about .NET Core CLI Tools telemetry: https://aka.ms/dotnet-cli-telemetry
----------------
Explore documentation: https://aka.ms/dotnet-docs
Report issues and find source on GitHub: https://github.com/dotnet/core
Find out what's new: https://aka.ms/dotnet-whats-new
Learn about the installed HTTPS developer cert: https://aka.ms/aspnet-core-https
Use 'dotnet --help' to see available commands or visit: https://aka.ms/dotnet-cli-docs
Write your first app: https://aka.ms/first-net-core-app
--------------------------------------------------------------------------------------
Test run for /mnt/c/git/Azure-Sentinel/.script/tests/KqlvalidationsTests/bin/Debug/netcoreapp3.1/Kqlvalidations.Tests.dll(.NETCoreApp,Version=v3.1)
Microsoft (R) Test Execution Command Line Tool Version 16.7.0
Copyright (c) Microsoft Corporation. All rights reserved.
Starting test execution, please wait...
A total of 1 test files matched the specified pattern.
Test Run Successful.
Total tests: 171
Passed: 171
Total time: 25.7973 Seconds
Similarly to KQL Validation, there is an automatic validation of the schema of a detection. The schema validation includes the detection's frequency and period, the detection's trigger type and threshold, validity of connectors Ids (valid connectors Ids list), etc. A wrong format or missing attributes will result with an informative check failure, which should guide you through the resolution of the issue, but make sure to look into the format of already approved detection.
In order to run the KQL validation before submitting Pull Request in you local machine:
Azure-Sentinel\\.script\tests\DetectionTemplateSchemaValidation\dotnet testWhen you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.
For information on what you can contribute and further details, refer to the "get started" section on the project's wiki.