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Merge pull request #3295 from splunk/final_deprecation_changes
Final deprecation changes
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.github/workflows/appinspect.yml

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- name: Install Python Dependencies and ContentCTL and Atomic Red Team
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run: |
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pip install contentctl==v5.0.0-alpha.3
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pip install contentctl==5.0.0
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git clone --depth=1 --single-branch --branch=master https://github.com/redcanaryco/atomic-red-team.git external_repos/atomic-red-team
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git clone --depth=1 --single-branch --branch=master https://github.com/mitre/cti external_repos/cti
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.github/workflows/build.yml

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- name: Install Python Dependencies and ContentCTL and Atomic Red Team
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pip install contentctl==v5.0.0-alpha.3
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pip install contentctl==5.0.0
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git clone --depth=1 --single-branch --branch=master https://github.com/redcanaryco/atomic-red-team.git external_repos/atomic-red-team
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git clone --depth=1 --single-branch --branch=master https://github.com/mitre/cti external_repos/cti
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.github/workflows/unit-testing.yml

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- name: Install Python Dependencies and ContentCTL
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run: |
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python -m pip install --upgrade pip
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pip install contentctl==v5.0.0-alpha.3
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pip install contentctl==5.0.0
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# Running contentctl test with a few arguments, before running the command make sure you checkout into the current branch of the pull request. This step only performs unit testing on all the changes against the target-branch. In most cases this target branch will be develop
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# Make sure we check out the PR, even if it actually lives in a fork

baselines/baseline_of_blocked_outbound_traffic_from_aws.yml

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date: '2018-05-07'
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author: Bhavin Patel, Splunk
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type: Baseline
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status: production
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description: This search establishes, on a per-hour basis, the average and the standard
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deviation of the number of outbound connections blocked in your VPC flow logs by
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each source IP address (IP address of your EC2 instances). Also recorded is the

baselines/baseline_of_cloud_infrastructure_api_calls_per_user.yml

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date: '2020-09-07'
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author: David Dorsey, Splunk
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type: Baseline
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status: production
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description: This search is used to build a Machine Learning Toolkit (MLTK) model
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for how many API calls are performed by each user. By default, the search uses the
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last 90 days of data to build the model and the model is rebuilt weekly. The model

baselines/baseline_of_cloud_instances_destroyed.yml

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date: '2020-08-25'
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author: David Dorsey, Splunk
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type: Baseline
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status: production
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description: This search is used to build a Machine Learning Toolkit (MLTK) model
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for how many instances are destroyed in the environment. By default, the search
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uses the last 90 days of data to build the model and the model is rebuilt weekly.

baselines/baseline_of_cloud_instances_launched.yml

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date: '2020-08-14'
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author: David Dorsey, Splunk
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type: Baseline
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status: production
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description: This search is used to build a Machine Learning Toolkit (MLTK) model
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for how many instances are created in the environment. By default, the search uses
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the last 90 days of data to build the model and the model is rebuilt weekly. The

baselines/baseline_of_cloud_security_group_api_calls_per_user.yml

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date: '2020-09-07'
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author: David Dorsey, Splunk
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type: Baseline
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status: production
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description: This search is used to build a Machine Learning Toolkit (MLTK) model
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for how many API calls for security groups are performed by each user. By default,
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the search uses the last 90 days of data to build the model and the model is rebuilt

baselines/baseline_of_command_line_length___mltk.yml

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date: '2019-05-08'
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author: Rico Valdez, Splunk
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type: Baseline
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status: production
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description: This search is used to build a Machine Learning Toolkit (MLTK) model
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to characterize the length of the command lines observed for each user in the environment.
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By default, the search uses the last 30 days of data to build the model. The model

baselines/baseline_of_dns_query_length___mltk.yml

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date: '2019-05-08'
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author: Rico Valdez, Splunk
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type: Baseline
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status: production
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description: This search is used to build a Machine Learning Toolkit (MLTK) model
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to characterize the length of the DNS queries for each DNS record type observed
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in the environment. By default, the search uses the last 30 days of data to build

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