From 18a6267fc404cc4be6995bcb2d4b57e16cf5f99d Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 18:38:29 +0000 Subject: [PATCH 01/15] AWS documentation --- docs/resources/accept_offer.png | Bin 0 -> 130645 bytes docs/resources/create_stack_start.png | Bin 0 -> 45944 bytes docs/resources/model_package_arn.png | Bin 0 -> 35377 bytes docs/resources/quota_instance_types.png | Bin 0 -> 109392 bytes docs/resources/sample_input.json | 42 +++++++ docs/resources/service_quotas.png | Bin 0 -> 46134 bytes docs/resources/subscribe_to_flow_detector.png | Bin 0 -> 37011 bytes .../subscribe_to_technique_detector.png | Bin 0 -> 31051 bytes .../subscribe_to_temporal_clustering.png | Bin 0 -> 30121 bytes docs/resources/upload_template_file.png | Bin 0 -> 109967 bytes docs/source/deploy.rst | 90 +++++++++++++++ docs/source/end_to_end_test.rst | 62 ++++++++++ docs/source/index.rst | 30 ++++- docs/source/prerequisites.rst | 30 +++++ docs/source/subscription.rst | 109 ++++++++++++++++++ docs/source/troubleshoot.rst | 30 +++++ 16 files changed, 389 insertions(+), 4 deletions(-) create mode 100644 docs/resources/accept_offer.png create mode 100644 docs/resources/create_stack_start.png create mode 100644 docs/resources/model_package_arn.png create mode 100644 docs/resources/quota_instance_types.png create mode 100644 docs/resources/sample_input.json create mode 100644 docs/resources/service_quotas.png create mode 100644 docs/resources/subscribe_to_flow_detector.png create mode 100644 docs/resources/subscribe_to_technique_detector.png create mode 100644 docs/resources/subscribe_to_temporal_clustering.png create mode 100644 docs/resources/upload_template_file.png create mode 100644 docs/source/deploy.rst create mode 100644 docs/source/end_to_end_test.rst create mode 100644 docs/source/prerequisites.rst create mode 100644 docs/source/subscription.rst create mode 100644 docs/source/troubleshoot.rst diff --git a/docs/resources/accept_offer.png 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Constraint of the bucket name by AWS is that + the bucket name must be globally unique. So note that your cloud + formation stack may fail if the name provided is already taken. You + can see the failure reasons by clicking on the stack that was + created and clicking on the ``Events`` tab. + + **TechniqueModelARN:**\ The ARN of the subscribed model package for + ATTACK Technique detector + + **ClusterModelARN:**\ The ARN of the subscribed model package for + Temporal Clustering + + **FlowModelARN:**\ The ARN of the subscribed model package for MITRE + flow detector + + The recommended value for parameter: + + ChunkSize: The size of a single chunk that will be processed at a + time for an input file uploaded to S3. Recommended chunk_size is + below ``50000``. + +6. Click on ``Next`` after adding the parameters. + +7. On the page ``Configure stack options``, under the section ``Stack + failure options``, select ``Roll back all stack resources`` for + ``Behaviour on provisioning failure``. Select ``Delete all newly + created resources`` for ``Delete newly created resources during a + rollback``. And then click on ``Next``. + +8. Now in the ``Review and create`` page, you can review your parameters. + At the bottom of the page, select all checkboxes for ``I + acknowledge…`` and click on ``Submit``. This will start creating the + required resources. + +9. You can monitor the events of the cloud stack by clicking on the + recently created cloud stack and going to the ``Events`` tab. + +10. Once the cloud stack is completed successfully. You can start using + the products. + +Now all your resources are ready to be used. + +You may now go to the step :doc:`end_to_end_test` to start testing +your application. diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst new file mode 100644 index 0000000..3d0d588 --- /dev/null +++ b/docs/source/end_to_end_test.rst @@ -0,0 +1,62 @@ +TASK 3: Run an end 2 end test on sample input data +================================================== + +3.1 How to test end-to-end +-------------------------- + +1. Navigate to the AWS console and search for ``S3``. Select the S3 bucket + that you created, and click on ``Create folder``. Give a name of folder + as ``input`` and create the folder. +2. Sample input json file: + +View the `sample input +file `__ +for your reference + +Input data JSON description: + +All fields are required unless mentioned otherwise. + +3. Upload input json file to the s3 bucket in path (eg: + s3://{bucket-name}/input/). The name of the input file does not + matter to the end-to-end flow. Note that if you upload a file with + the same name, it will be overwritten in S3 bucket. + + 1. Once you upload the input file. Lets say ``input.json``. Then the + control flow will be as follows: + +- Enrich_with_technique: lambda function +- Transform-job-tech-{unique-id}: Batch transform job + + - Reads input from: + ``{bucket}/intermediate/{unique-id}/input_classification.json`` + - Output to: + ``{bucket}/response/classification_out/{unique-id}/input_classification.json.out`` + +- Process_enriched_with_technique: lambda function +- Create_cluster: lambda function +- Transform-job-cluster-{unique-id}: Batch transform job + + - Reads input from: + ``{bucket}/output/classification/{unique-id}/input.zip`` + - Output to: + ``{bucket}/response/cluster_out/{unique-id}/input.zip.out`` + +- Process_cluster: lambda function +- Create_flow: lambda function +- Transform-job-flow-{unique-id}: Batch transform job + + - Reads input from: + ``{bucket}/output/cluster/{unique-id}/input_flow.json`` + - Output to: + ``{bucket}/response/flow_out/{unique-id}/input_flow.json.out`` + +- Process_flow: lambda function + + 2. You can use the Amazon SageMaker console and navigate to Inference + → Batch transform jobs, to view the created jobs for your input. + 3. You can monitor the progress on CloudWatch logs for each lambda + function and transform job created. + +4. Wait for a complete output to show up on the S3 bucket. + (s3://alert-detector/output/flow/{unique-id}/) \ No newline at end of file diff --git a/docs/source/index.rst b/docs/source/index.rst index 03d09a5..1b1ac79 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -1,6 +1,28 @@ -Welcome to Lumache's documentation! +Cypienta =================================== +Welcome to the official documentation for Cypienta. This guide will help you understand and utilize the powerful features of our software, ensuring a smooth and efficient experience from subscription to installation. + +In this documentation, you will find detailed instructions for: + +- **Prerequisites**: A list of prerequisites for installation and usage of the product +- **Subscribing to Cypienta products on AWS Marketplace**: A step-by-step guide to help you subscribe to our offering on AWS Marketplace. +- **AWS Deployment**: Detailed instructions to ensure a smooth deployment process to AWS. +- **Sample test**: An example of how to use the product with a sample test. +- **Troubleshooting and Support**: Solutions to common issues and information on how to get further assistance. + + +Getting Started +-------- + +.. toctree:: + + prerequisites + subscription + deploy + end_to_end_test + toubleshoot + **Lumache** (/lu'make/) is a Python library for cooks and food lovers that creates recipes mixing random ingredients. It pulls data from the `Open Food Facts database `_ @@ -11,12 +33,12 @@ how to :ref:`installation` the project. .. note:: - This project is under active development. + This project is under active development. Contents -------- .. toctree:: - usage - api + usage + api diff --git a/docs/source/prerequisites.rst b/docs/source/prerequisites.rst new file mode 100644 index 0000000..fca61ec --- /dev/null +++ b/docs/source/prerequisites.rst @@ -0,0 +1,30 @@ +Prerequisites +============= + +Permissions +----------- +Make sure that you have the required permissions for resources for the IAM user you will be using. +- SageMaker +- Lambda +- S3 +- ECS +- EC2 +- IAM - create and edit roles +- CloudFormation + +Quotas +------ + +Instance types +~~~~~~~~~~~~~~ + +Verify your instance type quotas by going to the AWS console. Search for ``Service Quotas``, and select SageMaker from the AWS Services list. Search for ``transform job usage``. You will require a GPU instance type for ``ATTACK Technique Detector`` and ``Temporal Clustering``, so look at the supported and recommended instance types for the product before subscribing and request for an increase of quota if found to be less than 1. The ``MITRE ATTACK Flow Detector`` requires a CPU-based instance type. + +.. note:: + To check for the supported and recommended instance type. On the AWS marketplace model product page, scroll down to the ``Pricing`` section and click on ``Model Batch Transform`` under ``Software Pricing``. + +Lambda concurrent executions +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +Verify that quota limit for ``Concurrent executions`` for AWS Lambda function. On your AWS console for the region where you want to deploy your resources, Search for ``Service Quotas``, and select ``AWS Lambda`` from the AWS Services list. Search for quota name ``Concurrent executions``. Make sure that the applied account-level quota value is more than 10 to allow reserved concurrency for the update_lookup_table lambda function. If the value is not greater than 10, select the ``Concurrent executions`` and click on ``Request increase at account level`` and set to any value greater than 10. + diff --git a/docs/source/subscription.rst b/docs/source/subscription.rst new file mode 100644 index 0000000..445cf29 --- /dev/null +++ b/docs/source/subscription.rst @@ -0,0 +1,109 @@ +Subscribing to Cypienta products on AWS Marketplace +=================================================== + +ATTACK Technique Detector +------------------------- + +1. Use the `link `_ to explore the marketplace model packages in AWS. Search for ``Cypienta ATTACK Technique Detector`` + + Click on ``Continue to Subscribe``. + + .. image:: resources/subscribe_to_technique_detector.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center + +2. Click on the ``Accept offer`` button on the next page. + + .. image:: resources/accept_offer.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center + + .. note:: + Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + +3. Make note of the technique detector model package ARN by going to the Sagemaker console. On the left-hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. + + .. image:: resources/model_package_arn.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center + + +Temporal Clustering +------------------- + +1. Use the `link `_ to explore the marketplace model packages in AWS. Search for ``Cypienta Temporal Clustering`` + + Click on ``Continue to Subscribe``. + + .. image:: resources/subscribe_to_temporal_clustering.png + :alt: Subscribe to temporal clustering + :width: 1120px + :height: 170px + :scale: 100% + :align: center + +2. Click on the ``Accept offer`` button on the next page. + + .. image:: resources/accept_offer.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center + + .. note:: + Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + +3. Make note of the temporal clustering model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. + + .. image:: resources/model_package_arn.png + :alt: Subscribe to flow detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center + + +MITRE ATTACK Flow Detector +------------------- + +1. Use the `link `_ to explore the marketplace model packages in AWS. Search for ``Cypienta MITRE ATTACK Flow Detector`` + + Click on ``Continue to Subscribe``. + + .. image:: resources/subscribe_to_flow_detector.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center + +2. Click on the ``Accept offer`` button on the next page. + + .. image:: resources/accept_offer.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center + + .. note:: + Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + +3. Make note of the flow detector model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. + + .. image:: resources/model_package_arn.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center \ No newline at end of file diff --git a/docs/source/troubleshoot.rst b/docs/source/troubleshoot.rst new file mode 100644 index 0000000..be01ef6 --- /dev/null +++ b/docs/source/troubleshoot.rst @@ -0,0 +1,30 @@ +Troubleshoot +======== + +ERROR: ResourceLimitExceeded for batch transform job instance type. +------------------------------------------------------------------- + +Increase the quota for the account using Service Quotas. Navigate to the +AWS console for the region you are using. Search for ``Service Quotas`` + +1. Search for “Sagemaker” under ``Manage quotas`` and select ``Amazon + SageMaker`` AWS service. Click on view quotas. + + .. image:: resources/service_quotas.png + :alt: Service Quota AWS console + :width: 1341px + :height: 221px + :scale: 100% + :align: center + +2. Search for `` for transform job usage`` + + .. image:: resources/quota_instance_types.png + :alt: Quoatas for Instance types + :width: 1303px + :height: 612px + :scale: 100% + :align: center + +3. Select the required instance type from the list and click on ``Request + increase at account level``. From e16bb59ccf53c6a15dc63f101382939640bd85ad Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 18:41:55 +0000 Subject: [PATCH 02/15] AWS documentation --- docs/source/end_to_end_test.rst | 2 +- docs/source/index.rst | 22 +--------------------- 2 files changed, 2 insertions(+), 22 deletions(-) diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst index 3d0d588..78497e2 100644 --- a/docs/source/end_to_end_test.rst +++ b/docs/source/end_to_end_test.rst @@ -1,4 +1,4 @@ -TASK 3: Run an end 2 end test on sample input data +Sample Test ================================================== 3.1 How to test end-to-end diff --git a/docs/source/index.rst b/docs/source/index.rst index 1b1ac79..7c59eb9 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -8,7 +8,7 @@ In this documentation, you will find detailed instructions for: - **Prerequisites**: A list of prerequisites for installation and usage of the product - **Subscribing to Cypienta products on AWS Marketplace**: A step-by-step guide to help you subscribe to our offering on AWS Marketplace. - **AWS Deployment**: Detailed instructions to ensure a smooth deployment process to AWS. -- **Sample test**: An example of how to use the product with a sample test. +- **Sample Test**: An example of how to use the product with a sample test. - **Troubleshooting and Support**: Solutions to common issues and information on how to get further assistance. @@ -22,23 +22,3 @@ Getting Started deploy end_to_end_test toubleshoot - -**Lumache** (/lu'make/) is a Python library for cooks and food lovers -that creates recipes mixing random ingredients. -It pulls data from the `Open Food Facts database `_ -and offers a *simple* and *intuitive* API. - -Check out the :doc:`usage` section for further information, including -how to :ref:`installation` the project. - -.. note:: - - This project is under active development. - -Contents --------- - -.. toctree:: - - usage - api From 9c9087665778f98d5fee1aeb69d9e6de2b050095 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 18:45:14 +0000 Subject: [PATCH 03/15] AWS documentation --- docs/source/end_to_end_test.rst | 2 +- docs/source/index.rst | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst index 78497e2..a1b3114 100644 --- a/docs/source/end_to_end_test.rst +++ b/docs/source/end_to_end_test.rst @@ -1,7 +1,7 @@ Sample Test ================================================== -3.1 How to test end-to-end +How to test end-to-end -------------------------- 1. Navigate to the AWS console and search for ``S3``. Select the S3 bucket diff --git a/docs/source/index.rst b/docs/source/index.rst index 7c59eb9..c8202e0 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -21,4 +21,4 @@ Getting Started subscription deploy end_to_end_test - toubleshoot + troubleshoot From f5bc497659095003fd05d9fc527df8c212a8d690 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 18:51:28 +0000 Subject: [PATCH 04/15] AWS documentation --- README.rst | 9 ++------- docs/source/api.rst | 7 ------- docs/source/conf.py | 6 +++--- docs/source/usage.rst | 34 ---------------------------------- pyproject.toml | 4 ++-- 5 files changed, 7 insertions(+), 53 deletions(-) delete mode 100644 docs/source/api.rst delete mode 100644 docs/source/usage.rst diff --git a/README.rst b/README.rst index 07eac7f..fd09a83 100644 --- a/README.rst +++ b/README.rst @@ -1,9 +1,4 @@ -Template for the Read the Docs tutorial +Read the Docs for Cypienta AWS offering ======================================= -This GitHub template includes fictional Python library -with some basic Sphinx docs. - -Read the tutorial here: - -https://docs.readthedocs.io/en/stable/tutorial/ +This is GitHub respository for Read the Docs for Cypienta AWS offering. diff --git a/docs/source/api.rst b/docs/source/api.rst deleted file mode 100644 index ec94338..0000000 --- a/docs/source/api.rst +++ /dev/null @@ -1,7 +0,0 @@ -API -=== - -.. autosummary:: - :toctree: generated - - lumache diff --git a/docs/source/conf.py b/docs/source/conf.py index 6e9e8c0..65aa4ce 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -2,9 +2,9 @@ # -- Project information -project = 'Lumache' -copyright = '2021, Graziella' -author = 'Graziella' +project = 'Cypienta' +copyright = '2024, Cypienta' +author = 'Cypienta' release = '0.1' version = '0.1.0' diff --git a/docs/source/usage.rst b/docs/source/usage.rst deleted file mode 100644 index 924afcf..0000000 --- a/docs/source/usage.rst +++ /dev/null @@ -1,34 +0,0 @@ -Usage -===== - -.. _installation: - -Installation ------------- - -To use Lumache, first install it using pip: - -.. code-block:: console - - (.venv) $ pip install lumache - -Creating recipes ----------------- - -To retrieve a list of random ingredients, -you can use the ``lumache.get_random_ingredients()`` function: - -.. autofunction:: lumache.get_random_ingredients - -The ``kind`` parameter should be either ``"meat"``, ``"fish"``, -or ``"veggies"``. Otherwise, :py:func:`lumache.get_random_ingredients` -will raise an exception. - -.. autoexception:: lumache.InvalidKindError - -For example: - ->>> import lumache ->>> lumache.get_random_ingredients() -['shells', 'gorgonzola', 'parsley'] - diff --git a/pyproject.toml b/pyproject.toml index 14a2dda..ea26cf8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,6 +3,6 @@ requires = ["flit_core >=3.2,<4"] build-backend = "flit_core.buildapi" [project] -name = "lumache" -authors = [{name = "Graziella", email = "graziella@lumache"}] +name = "Cypienta" +authors = [{name = "Cypienta", email = "ezz@cypienta.com"}] dynamic = ["version", "description"] From ffc8feee1fbeaf7dc3a2834629bc715d4aa77f91 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 19:00:35 +0000 Subject: [PATCH 05/15] AWS documentation --- docs/source/end_to_end_test.rst | 65 +++++++++++++++++---------------- docs/source/prerequisites.rst | 8 ++++ docs/source/subscription.rst | 18 ++++----- docs/source/troubleshoot.rst | 4 +- 4 files changed, 52 insertions(+), 43 deletions(-) diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst index a1b3114..626b58f 100644 --- a/docs/source/end_to_end_test.rst +++ b/docs/source/end_to_end_test.rst @@ -9,54 +9,55 @@ How to test end-to-end as ``input`` and create the folder. 2. Sample input json file: -View the `sample input -file `__ -for your reference + View the `sample input + file `__ + for your reference -Input data JSON description: + Input data JSON description: -All fields are required unless mentioned otherwise. + All fields are required unless mentioned otherwise. 3. Upload input json file to the s3 bucket in path (eg: s3://{bucket-name}/input/). The name of the input file does not matter to the end-to-end flow. Note that if you upload a file with the same name, it will be overwritten in S3 bucket. - 1. Once you upload the input file. Lets say ``input.json``. Then the - control flow will be as follows: + 1. Once you upload the input file. Lets say ``input.json``. Then the + control flow will be as follows: -- Enrich_with_technique: lambda function -- Transform-job-tech-{unique-id}: Batch transform job + - Enrich_with_technique: lambda function + - Transform-job-tech-{unique-id}: Batch transform job - - Reads input from: - ``{bucket}/intermediate/{unique-id}/input_classification.json`` - - Output to: - ``{bucket}/response/classification_out/{unique-id}/input_classification.json.out`` + - Reads input from: + ``{bucket}/intermediate/{unique-id}/input_classification.json`` + - Output to: + ``{bucket}/response/classification_out/{unique-id}/input_classification.json.out`` -- Process_enriched_with_technique: lambda function -- Create_cluster: lambda function -- Transform-job-cluster-{unique-id}: Batch transform job + - Process_enriched_with_technique: lambda function + - Create_cluster: lambda function + - Transform-job-cluster-{unique-id}: Batch transform job - - Reads input from: - ``{bucket}/output/classification/{unique-id}/input.zip`` - - Output to: - ``{bucket}/response/cluster_out/{unique-id}/input.zip.out`` + - Reads input from: + ``{bucket}/output/classification/{unique-id}/input.zip`` + - Output to: + ``{bucket}/response/cluster_out/{unique-id}/input.zip.out`` -- Process_cluster: lambda function -- Create_flow: lambda function -- Transform-job-flow-{unique-id}: Batch transform job + - Process_cluster: lambda function + - Create_flow: lambda function + - Transform-job-flow-{unique-id}: Batch transform job - - Reads input from: - ``{bucket}/output/cluster/{unique-id}/input_flow.json`` - - Output to: - ``{bucket}/response/flow_out/{unique-id}/input_flow.json.out`` + - Reads input from: + ``{bucket}/output/cluster/{unique-id}/input_flow.json`` + - Output to: + ``{bucket}/response/flow_out/{unique-id}/input_flow.json.out`` -- Process_flow: lambda function + - Process_flow: lambda function - 2. You can use the Amazon SageMaker console and navigate to Inference - → Batch transform jobs, to view the created jobs for your input. - 3. You can monitor the progress on CloudWatch logs for each lambda - function and transform job created. + 2. You can use the Amazon SageMaker console and navigate to Inference + → Batch transform jobs, to view the created jobs for your input. + + 3. You can monitor the progress on CloudWatch logs for each lambda + function and transform job created. 4. Wait for a complete output to show up on the S3 bucket. (s3://alert-detector/output/flow/{unique-id}/) \ No newline at end of file diff --git a/docs/source/prerequisites.rst b/docs/source/prerequisites.rst index fca61ec..d972e35 100644 --- a/docs/source/prerequisites.rst +++ b/docs/source/prerequisites.rst @@ -4,14 +4,22 @@ Prerequisites Permissions ----------- Make sure that you have the required permissions for resources for the IAM user you will be using. + - SageMaker + - Lambda + - S3 + - ECS + - EC2 + - IAM - create and edit roles + - CloudFormation + Quotas ------ diff --git a/docs/source/subscription.rst b/docs/source/subscription.rst index 445cf29..bb700a2 100644 --- a/docs/source/subscription.rst +++ b/docs/source/subscription.rst @@ -8,7 +8,7 @@ ATTACK Technique Detector Click on ``Continue to Subscribe``. - .. image:: resources/subscribe_to_technique_detector.png + .. image:: docs/resources/subscribe_to_technique_detector.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -17,7 +17,7 @@ ATTACK Technique Detector 2. Click on the ``Accept offer`` button on the next page. - .. image:: resources/accept_offer.png + .. image:: docs/resources/accept_offer.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -29,7 +29,7 @@ ATTACK Technique Detector 3. Make note of the technique detector model package ARN by going to the Sagemaker console. On the left-hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. - .. image:: resources/model_package_arn.png + .. image:: docs/resources/model_package_arn.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -44,7 +44,7 @@ Temporal Clustering Click on ``Continue to Subscribe``. - .. image:: resources/subscribe_to_temporal_clustering.png + .. image:: docs/resources/subscribe_to_temporal_clustering.png :alt: Subscribe to temporal clustering :width: 1120px :height: 170px @@ -53,7 +53,7 @@ Temporal Clustering 2. Click on the ``Accept offer`` button on the next page. - .. image:: resources/accept_offer.png + .. image:: docs/resources/accept_offer.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -65,7 +65,7 @@ Temporal Clustering 3. Make note of the temporal clustering model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. - .. image:: resources/model_package_arn.png + .. image:: docs/resources/model_package_arn.png :alt: Subscribe to flow detector :width: 1120px :height: 170px @@ -80,7 +80,7 @@ MITRE ATTACK Flow Detector Click on ``Continue to Subscribe``. - .. image:: resources/subscribe_to_flow_detector.png + .. image:: docs/resources/subscribe_to_flow_detector.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -89,7 +89,7 @@ MITRE ATTACK Flow Detector 2. Click on the ``Accept offer`` button on the next page. - .. image:: resources/accept_offer.png + .. image:: docs/resources/accept_offer.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -101,7 +101,7 @@ MITRE ATTACK Flow Detector 3. Make note of the flow detector model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. - .. image:: resources/model_package_arn.png + .. image:: docs/resources/model_package_arn.png :alt: Subscribe to technique detector :width: 1120px :height: 170px diff --git a/docs/source/troubleshoot.rst b/docs/source/troubleshoot.rst index be01ef6..32adb6c 100644 --- a/docs/source/troubleshoot.rst +++ b/docs/source/troubleshoot.rst @@ -10,7 +10,7 @@ AWS console for the region you are using. Search for ``Service Quotas`` 1. Search for “Sagemaker” under ``Manage quotas`` and select ``Amazon SageMaker`` AWS service. Click on view quotas. - .. image:: resources/service_quotas.png + .. image:: docs/resources/service_quotas.png :alt: Service Quota AWS console :width: 1341px :height: 221px @@ -19,7 +19,7 @@ AWS console for the region you are using. Search for ``Service Quotas`` 2. Search for `` for transform job usage`` - .. image:: resources/quota_instance_types.png + .. image:: docs/resources/quota_instance_types.png :alt: Quoatas for Instance types :width: 1303px :height: 612px From 2f135c6e9950a72754ebba6dbe9abd221c149c73 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 19:07:28 +0000 Subject: [PATCH 06/15] AWS documentation --- docs/source/deploy.rst | 4 ++-- docs/source/end_to_end_test.rst | 12 +++++------- docs/source/index.rst | 10 +++++----- docs/source/subscription.rst | 6 +++--- docs/source/troubleshoot.rst | 4 ++-- 5 files changed, 17 insertions(+), 19 deletions(-) diff --git a/docs/source/deploy.rst b/docs/source/deploy.rst index 90a9116..8be406b 100644 --- a/docs/source/deploy.rst +++ b/docs/source/deploy.rst @@ -17,7 +17,7 @@ Deploy resources using the Cloud Formation template 3. Click on ``Stacks`` on the left hand side panel, and click on ``Create stack`` dropdown. Select ``With new resources (standard)`` to start creating a stack - .. image:: resources/create_stack_start.png + .. image:: ../resources/create_stack_start.png :alt: Subscribe to technique detector :width: 1763px :height: 273px @@ -26,7 +26,7 @@ Deploy resources using the Cloud Formation template 4. For the ``Prerequisite - Prepare template`` section, select ``Choose an existing template``, and then select ``Upload a template file``. It will enable a ``Choose file`` button. Click on the button to upload the template. The template is present in the root directory of Lambda repository you have cloned. Then click on ``Next``. - .. image:: resources/upload_template_file.png + .. image:: ../resources/upload_template_file.png :alt: Subscribe to technique detector :width: 1392px :height: 789px diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst index 626b58f..98bb6e1 100644 --- a/docs/source/end_to_end_test.rst +++ b/docs/source/end_to_end_test.rst @@ -18,12 +18,11 @@ How to test end-to-end All fields are required unless mentioned otherwise. 3. Upload input json file to the s3 bucket in path (eg: - s3://{bucket-name}/input/). The name of the input file does not - matter to the end-to-end flow. Note that if you upload a file with - the same name, it will be overwritten in S3 bucket. + s3://{bucket-name}/input/). The name of the input file does not + matter to the end-to-end flow. Note that if you upload a file with + the same name, it will be overwritten in S3 bucket. - 1. Once you upload the input file. Lets say ``input.json``. Then the - control flow will be as follows: + 1. Once you upload the input file. Lets say ``input.json``. Then the control flow will be as follows: - Enrich_with_technique: lambda function - Transform-job-tech-{unique-id}: Batch transform job @@ -59,5 +58,4 @@ How to test end-to-end 3. You can monitor the progress on CloudWatch logs for each lambda function and transform job created. -4. Wait for a complete output to show up on the S3 bucket. - (s3://alert-detector/output/flow/{unique-id}/) \ No newline at end of file +4. Wait for a complete output to show up on the S3 bucket. (s3://alert-detector/output/flow/{unique-id}/) \ No newline at end of file diff --git a/docs/source/index.rst b/docs/source/index.rst index c8202e0..e19593d 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -5,11 +5,11 @@ Welcome to the official documentation for Cypienta. This guide will help you und In this documentation, you will find detailed instructions for: -- **Prerequisites**: A list of prerequisites for installation and usage of the product -- **Subscribing to Cypienta products on AWS Marketplace**: A step-by-step guide to help you subscribe to our offering on AWS Marketplace. -- **AWS Deployment**: Detailed instructions to ensure a smooth deployment process to AWS. -- **Sample Test**: An example of how to use the product with a sample test. -- **Troubleshooting and Support**: Solutions to common issues and information on how to get further assistance. +- **Prerequisites**: A list of prerequisites for installation and usage of the product +- **Subscribing to Cypienta products on AWS Marketplace**: A step-by-step guide to help you subscribe to our offering on AWS Marketplace. +- **AWS Deployment**: Detailed instructions to ensure a smooth deployment process to AWS. +- **Sample Test**: An example of how to use the product with a sample test. +- **Troubleshooting and Support**: Solutions to common issues and information on how to get further assistance. Getting Started diff --git a/docs/source/subscription.rst b/docs/source/subscription.rst index bb700a2..36556b5 100644 --- a/docs/source/subscription.rst +++ b/docs/source/subscription.rst @@ -80,7 +80,7 @@ MITRE ATTACK Flow Detector Click on ``Continue to Subscribe``. - .. image:: docs/resources/subscribe_to_flow_detector.png + .. image:: ../resources/subscribe_to_flow_detector.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -89,7 +89,7 @@ MITRE ATTACK Flow Detector 2. Click on the ``Accept offer`` button on the next page. - .. image:: docs/resources/accept_offer.png + .. image:: ../resources/accept_offer.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -101,7 +101,7 @@ MITRE ATTACK Flow Detector 3. Make note of the flow detector model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. - .. image:: docs/resources/model_package_arn.png + .. image:: ../resources/model_package_arn.png :alt: Subscribe to technique detector :width: 1120px :height: 170px diff --git a/docs/source/troubleshoot.rst b/docs/source/troubleshoot.rst index 32adb6c..a7d0d4c 100644 --- a/docs/source/troubleshoot.rst +++ b/docs/source/troubleshoot.rst @@ -10,7 +10,7 @@ AWS console for the region you are using. Search for ``Service Quotas`` 1. Search for “Sagemaker” under ``Manage quotas`` and select ``Amazon SageMaker`` AWS service. Click on view quotas. - .. image:: docs/resources/service_quotas.png + .. image:: ../resources/service_quotas.png :alt: Service Quota AWS console :width: 1341px :height: 221px @@ -19,7 +19,7 @@ AWS console for the region you are using. Search for ``Service Quotas`` 2. Search for `` for transform job usage`` - .. image:: docs/resources/quota_instance_types.png + .. image:: ../resources/quota_instance_types.png :alt: Quoatas for Instance types :width: 1303px :height: 612px From 24063f5ff4163fb1cbe61d828aab2a86c91b7524 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 19:11:45 +0000 Subject: [PATCH 07/15] AWS documentation --- docs/resources/sample_input.json | 42 ------------------ docs/source/deploy.rst | 4 +- docs/{ => source}/resources/accept_offer.png | Bin .../resources/create_stack_start.png | Bin .../resources/model_package_arn.png | Bin .../resources/quota_instance_types.png | Bin .../{ => source}/resources/service_quotas.png | Bin .../resources/subscribe_to_flow_detector.png | Bin .../subscribe_to_technique_detector.png | Bin .../subscribe_to_temporal_clustering.png | Bin .../resources/upload_template_file.png | Bin docs/source/subscription.rst | 6 +-- docs/source/troubleshoot.rst | 4 +- 13 files changed, 7 insertions(+), 49 deletions(-) delete mode 100644 docs/resources/sample_input.json rename docs/{ => source}/resources/accept_offer.png (100%) rename docs/{ => source}/resources/create_stack_start.png (100%) rename docs/{ => source}/resources/model_package_arn.png (100%) rename docs/{ => source}/resources/quota_instance_types.png (100%) rename docs/{ => source}/resources/service_quotas.png (100%) rename docs/{ => source}/resources/subscribe_to_flow_detector.png (100%) rename docs/{ => source}/resources/subscribe_to_technique_detector.png (100%) rename docs/{ => source}/resources/subscribe_to_temporal_clustering.png (100%) rename docs/{ => source}/resources/upload_template_file.png (100%) diff --git a/docs/resources/sample_input.json b/docs/resources/sample_input.json deleted file mode 100644 index 6011a33..0000000 --- a/docs/resources/sample_input.json +++ /dev/null @@ -1,42 +0,0 @@ -{ - "input": [ - { - "instalertid": 25485, - "src": "Internal_User_1", - "dst": "ServerA", - "time": 1.2741200091934108, - "tech": [ - "T1490" - ], - "name": " ET DNS Query for .cc TLD ", - "other_attributes_dict": { - "priority": 1 - } - }, - { - "instalertid": 25486, - "src": "ServerA", - "dst": "Internal_User_1", - "time": 1.2741200091934200, - "tech": [ - "T1055" - ], - "name": " ET DNS Query for .cc TLD ", - "other_attributes_dict": { - "priority": 2 - } - } - ], - "node_feature": { - "ServerA": { - "userid": "machine_1", - "user_group": "HR", - "OS": "Linux" - }, - "Internal_User_1": { - "userid": "machine_2", - "user_group": "EMP", - "OS": "Windows11" - } - } -} \ No newline at end of file diff --git a/docs/source/deploy.rst b/docs/source/deploy.rst index 8be406b..90a9116 100644 --- a/docs/source/deploy.rst +++ b/docs/source/deploy.rst @@ -17,7 +17,7 @@ Deploy resources using the Cloud Formation template 3. Click on ``Stacks`` on the left hand side panel, and click on ``Create stack`` dropdown. Select ``With new resources (standard)`` to start creating a stack - .. image:: ../resources/create_stack_start.png + .. image:: resources/create_stack_start.png :alt: Subscribe to technique detector :width: 1763px :height: 273px @@ -26,7 +26,7 @@ Deploy resources using the Cloud Formation template 4. For the ``Prerequisite - Prepare template`` section, select ``Choose an existing template``, and then select ``Upload a template file``. It will enable a ``Choose file`` button. Click on the button to upload the template. The template is present in the root directory of Lambda repository you have cloned. Then click on ``Next``. - .. image:: ../resources/upload_template_file.png + .. image:: resources/upload_template_file.png :alt: Subscribe to technique detector :width: 1392px :height: 789px diff --git a/docs/resources/accept_offer.png b/docs/source/resources/accept_offer.png similarity index 100% rename from docs/resources/accept_offer.png rename to docs/source/resources/accept_offer.png diff --git a/docs/resources/create_stack_start.png b/docs/source/resources/create_stack_start.png similarity index 100% rename from docs/resources/create_stack_start.png rename to docs/source/resources/create_stack_start.png diff --git a/docs/resources/model_package_arn.png b/docs/source/resources/model_package_arn.png similarity index 100% rename from docs/resources/model_package_arn.png rename to docs/source/resources/model_package_arn.png diff --git a/docs/resources/quota_instance_types.png b/docs/source/resources/quota_instance_types.png similarity index 100% rename from docs/resources/quota_instance_types.png rename to docs/source/resources/quota_instance_types.png diff --git a/docs/resources/service_quotas.png b/docs/source/resources/service_quotas.png similarity index 100% rename from docs/resources/service_quotas.png rename to docs/source/resources/service_quotas.png diff --git a/docs/resources/subscribe_to_flow_detector.png b/docs/source/resources/subscribe_to_flow_detector.png similarity index 100% rename from docs/resources/subscribe_to_flow_detector.png rename to docs/source/resources/subscribe_to_flow_detector.png diff --git a/docs/resources/subscribe_to_technique_detector.png b/docs/source/resources/subscribe_to_technique_detector.png similarity index 100% rename from docs/resources/subscribe_to_technique_detector.png rename to docs/source/resources/subscribe_to_technique_detector.png diff --git a/docs/resources/subscribe_to_temporal_clustering.png b/docs/source/resources/subscribe_to_temporal_clustering.png similarity index 100% rename from docs/resources/subscribe_to_temporal_clustering.png rename to docs/source/resources/subscribe_to_temporal_clustering.png diff --git a/docs/resources/upload_template_file.png b/docs/source/resources/upload_template_file.png similarity index 100% rename from docs/resources/upload_template_file.png rename to docs/source/resources/upload_template_file.png diff --git a/docs/source/subscription.rst b/docs/source/subscription.rst index 36556b5..ade8b41 100644 --- a/docs/source/subscription.rst +++ b/docs/source/subscription.rst @@ -80,7 +80,7 @@ MITRE ATTACK Flow Detector Click on ``Continue to Subscribe``. - .. image:: ../resources/subscribe_to_flow_detector.png + .. image:: resources/subscribe_to_flow_detector.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -89,7 +89,7 @@ MITRE ATTACK Flow Detector 2. Click on the ``Accept offer`` button on the next page. - .. image:: ../resources/accept_offer.png + .. image:: resources/accept_offer.png :alt: Subscribe to technique detector :width: 1120px :height: 170px @@ -101,7 +101,7 @@ MITRE ATTACK Flow Detector 3. Make note of the flow detector model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. - .. image:: ../resources/model_package_arn.png + .. image:: resources/model_package_arn.png :alt: Subscribe to technique detector :width: 1120px :height: 170px diff --git a/docs/source/troubleshoot.rst b/docs/source/troubleshoot.rst index a7d0d4c..be01ef6 100644 --- a/docs/source/troubleshoot.rst +++ b/docs/source/troubleshoot.rst @@ -10,7 +10,7 @@ AWS console for the region you are using. Search for ``Service Quotas`` 1. Search for “Sagemaker” under ``Manage quotas`` and select ``Amazon SageMaker`` AWS service. Click on view quotas. - .. image:: ../resources/service_quotas.png + .. image:: resources/service_quotas.png :alt: Service Quota AWS console :width: 1341px :height: 221px @@ -19,7 +19,7 @@ AWS console for the region you are using. Search for ``Service Quotas`` 2. Search for `` for transform job usage`` - .. image:: ../resources/quota_instance_types.png + .. image:: resources/quota_instance_types.png :alt: Quoatas for Instance types :width: 1303px :height: 612px From 4074f923fa8e8fad2182286abbd47b994087e62e Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 19:16:13 +0000 Subject: [PATCH 08/15] AWS documentation --- docs/source/deploy.rst | 20 ++++++++++---------- docs/source/prerequisites.rst | 20 +++++++------------- docs/source/troubleshoot.rst | 20 ++++++++++---------- 3 files changed, 27 insertions(+), 33 deletions(-) diff --git a/docs/source/deploy.rst b/docs/source/deploy.rst index 90a9116..a6f4b50 100644 --- a/docs/source/deploy.rst +++ b/docs/source/deploy.rst @@ -18,20 +18,20 @@ Deploy resources using the Cloud Formation template 3. Click on ``Stacks`` on the left hand side panel, and click on ``Create stack`` dropdown. Select ``With new resources (standard)`` to start creating a stack .. image:: resources/create_stack_start.png - :alt: Subscribe to technique detector - :width: 1763px - :height: 273px - :scale: 100% - :align: center + :alt: Subscribe to technique detector + :width: 1763px + :height: 273px + :scale: 100% + :align: center 4. For the ``Prerequisite - Prepare template`` section, select ``Choose an existing template``, and then select ``Upload a template file``. It will enable a ``Choose file`` button. Click on the button to upload the template. The template is present in the root directory of Lambda repository you have cloned. Then click on ``Next``. .. image:: resources/upload_template_file.png - :alt: Subscribe to technique detector - :width: 1392px - :height: 789px - :scale: 100% - :align: center + :alt: Subscribe to technique detector + :width: 1392px + :height: 789px + :scale: 100% + :align: center 5. Now you can input all the parameters needed for the cloud formation stack. Few parameters are already filled in with default recommended value. You can change the values as required. diff --git a/docs/source/prerequisites.rst b/docs/source/prerequisites.rst index d972e35..e0d5cb0 100644 --- a/docs/source/prerequisites.rst +++ b/docs/source/prerequisites.rst @@ -5,19 +5,13 @@ Permissions ----------- Make sure that you have the required permissions for resources for the IAM user you will be using. -- SageMaker - -- Lambda - -- S3 - -- ECS - -- EC2 - -- IAM - create and edit roles - -- CloudFormation +- SageMaker +- Lambda +- S3 +- ECS +- EC2 +- IAM - create and edit roles +- CloudFormation Quotas diff --git a/docs/source/troubleshoot.rst b/docs/source/troubleshoot.rst index be01ef6..16696e9 100644 --- a/docs/source/troubleshoot.rst +++ b/docs/source/troubleshoot.rst @@ -11,20 +11,20 @@ AWS console for the region you are using. Search for ``Service Quotas`` SageMaker`` AWS service. Click on view quotas. .. image:: resources/service_quotas.png - :alt: Service Quota AWS console - :width: 1341px - :height: 221px - :scale: 100% - :align: center + :alt: Service Quota AWS console + :width: 1341px + :height: 221px + :scale: 100% + :align: center 2. Search for `` for transform job usage`` .. image:: resources/quota_instance_types.png - :alt: Quoatas for Instance types - :width: 1303px - :height: 612px - :scale: 100% - :align: center + :alt: Quoatas for Instance types + :width: 1303px + :height: 612px + :scale: 100% + :align: center 3. Select the required instance type from the list and click on ``Request increase at account level``. From b477290abfab49a9b9845b64eb29afabc20da203 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 19:16:59 +0000 Subject: [PATCH 09/15] AWS documentation --- docs/source/subscription.rst | 102 +++++++++++++++++------------------ 1 file changed, 51 insertions(+), 51 deletions(-) diff --git a/docs/source/subscription.rst b/docs/source/subscription.rst index ade8b41..58e91b2 100644 --- a/docs/source/subscription.rst +++ b/docs/source/subscription.rst @@ -8,33 +8,33 @@ ATTACK Technique Detector Click on ``Continue to Subscribe``. - .. image:: docs/resources/subscribe_to_technique_detector.png - :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% - :align: center + .. image:: resources/subscribe_to_technique_detector.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center 2. Click on the ``Accept offer`` button on the next page. - .. image:: docs/resources/accept_offer.png - :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% - :align: center + .. image:: resources/accept_offer.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center .. note:: Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. 3. Make note of the technique detector model package ARN by going to the Sagemaker console. On the left-hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. - .. image:: docs/resources/model_package_arn.png - :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% - :align: center + .. image:: resources/model_package_arn.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center Temporal Clustering @@ -44,33 +44,33 @@ Temporal Clustering Click on ``Continue to Subscribe``. - .. image:: docs/resources/subscribe_to_temporal_clustering.png - :alt: Subscribe to temporal clustering - :width: 1120px - :height: 170px - :scale: 100% - :align: center + .. image:: resources/subscribe_to_temporal_clustering.png + :alt: Subscribe to temporal clustering + :width: 1120px + :height: 170px + :scale: 100% + :align: center 2. Click on the ``Accept offer`` button on the next page. - .. image:: docs/resources/accept_offer.png - :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% - :align: center + .. image:: resources/accept_offer.png + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center .. note:: Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. 3. Make note of the temporal clustering model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. - .. image:: docs/resources/model_package_arn.png - :alt: Subscribe to flow detector - :width: 1120px - :height: 170px - :scale: 100% - :align: center + .. image:: resources/model_package_arn.png + :alt: Subscribe to flow detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center MITRE ATTACK Flow Detector @@ -81,20 +81,20 @@ MITRE ATTACK Flow Detector Click on ``Continue to Subscribe``. .. image:: resources/subscribe_to_flow_detector.png - :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% - :align: center + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center 2. Click on the ``Accept offer`` button on the next page. .. image:: resources/accept_offer.png - :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% - :align: center + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center .. note:: Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. @@ -102,8 +102,8 @@ MITRE ATTACK Flow Detector 3. Make note of the flow detector model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. .. image:: resources/model_package_arn.png - :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% - :align: center \ No newline at end of file + :alt: Subscribe to technique detector + :width: 1120px + :height: 170px + :scale: 100% + :align: center \ No newline at end of file From 384dda47d791a0b9993ed6c0e7be14a83ad933b9 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 19:21:19 +0000 Subject: [PATCH 10/15] AWS documentation --- docs/source/deploy.rst | 3 --- 1 file changed, 3 deletions(-) diff --git a/docs/source/deploy.rst b/docs/source/deploy.rst index a6f4b50..a4702af 100644 --- a/docs/source/deploy.rst +++ b/docs/source/deploy.rst @@ -28,9 +28,6 @@ Deploy resources using the Cloud Formation template .. image:: resources/upload_template_file.png :alt: Subscribe to technique detector - :width: 1392px - :height: 789px - :scale: 100% :align: center 5. Now you can input all the parameters needed for the cloud formation stack. Few parameters are already filled in with default recommended value. You can change the values as required. From 24a141b2d3a431fd29ee2f34a8c2b670be051243 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Fri, 31 May 2024 19:34:18 +0000 Subject: [PATCH 11/15] AWS documentation --- docs/source/deploy.rst | 3 -- docs/source/end_to_end_test.rst | 89 ++++++++++++++++++++++++--------- docs/source/subscription.rst | 27 ---------- docs/source/troubleshoot.rst | 6 --- 4 files changed, 66 insertions(+), 59 deletions(-) diff --git a/docs/source/deploy.rst b/docs/source/deploy.rst index a4702af..8da84b7 100644 --- a/docs/source/deploy.rst +++ b/docs/source/deploy.rst @@ -19,9 +19,6 @@ Deploy resources using the Cloud Formation template .. image:: resources/create_stack_start.png :alt: Subscribe to technique detector - :width: 1763px - :height: 273px - :scale: 100% :align: center 4. For the ``Prerequisite - Prepare template`` section, select ``Choose an existing template``, and then select ``Upload a template file``. It will enable a ``Choose file`` button. Click on the button to upload the template. The template is present in the root directory of Lambda repository you have cloned. Then click on ``Next``. diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst index 98bb6e1..ef446ca 100644 --- a/docs/source/end_to_end_test.rst +++ b/docs/source/end_to_end_test.rst @@ -9,53 +9,96 @@ How to test end-to-end as ``input`` and create the folder. 2. Sample input json file: - View the `sample input - file `__ - for your reference + .. code-block:: json + { + "input": [ + { + "instalertid": 25485, + "src": "Internal_User_1", + "dst": "ServerA", + "time": 1.2741200091934108, + "tech": [ + "T1490" + ], + "name": " ET DNS Query for .cc TLD ", + "other_attributes_dict": { + "priority": 1 + } + } + ... + ] + } + + View the `sample input file `__ for your reference Input data JSON description: + .. code-block:: json + { + "input": [ + { + "instalertid": int, // alert id + "time": float, // timestamp of the alert + "src": string, // IP address/hostname of the source + "dst": string, // IP address/hostname of the destination + "name": string, // text value of the alert + "tech": [ + string //optional. keep empty list if there is no technique label. + ] // List of technique labels for the alert. + "other_attributes_dict": { + "priority": float, // optional field of type FLOAT. Priority of the alert Optional field. Only include if the value is not null. (doesnt matter if ascending or descending in importance, as long as its consistent) + "port": int, // optional. Must be an integer 0-65535. Port of the destination. Optional field. Only include if the value is not null. + "url": string, // optional. URL of the alert (if applicable). Optional field of type STRING. Only include if the value is not null. + "user_agent": string, // optional. User agent of the alert (if applicable). Optional field of type STRING. Only include if the value is not null. + "cert": string // optional. Certificate of the alert (if applicable). Optional field of type STRING. Only include if the value is not null. + } + }, ... + ], + "node_feature": { // Optional, Add an optional number of nodes, with an optional number of keys per node, make sure to use the same node key/id in its relevant events, feel free to add any features to every node, exclude the features that are non existent for that node + "ServerA": { + "userid": "machine_1", + "user_group": "HR", + "OS": "Linux", + "Internal/External": "Internal" + }, + "Internal_User_1": { + "userid": "machine_2", + "user_group": "EMP", + "OS": "Windows11" + },... + }, //optional. list of node features + } + All fields are required unless mentioned otherwise. -3. Upload input json file to the s3 bucket in path (eg: - s3://{bucket-name}/input/). The name of the input file does not - matter to the end-to-end flow. Note that if you upload a file with - the same name, it will be overwritten in S3 bucket. +3. Upload input json file to the s3 bucket in path (eg: s3://{bucket-name}/input/). The name of the input file does not matter to the end-to-end flow. Note that if you upload a file with the same name, it will be overwritten in S3 bucket. 1. Once you upload the input file. Lets say ``input.json``. Then the control flow will be as follows: - Enrich_with_technique: lambda function - Transform-job-tech-{unique-id}: Batch transform job - - Reads input from: - ``{bucket}/intermediate/{unique-id}/input_classification.json`` - - Output to: - ``{bucket}/response/classification_out/{unique-id}/input_classification.json.out`` + - Reads input from: ``{bucket}/intermediate/{unique-id}/input_classification.json`` + - Output to: ``{bucket}/response/classification_out/{unique-id}/input_classification.json.out`` - Process_enriched_with_technique: lambda function - Create_cluster: lambda function - Transform-job-cluster-{unique-id}: Batch transform job - - Reads input from: - ``{bucket}/output/classification/{unique-id}/input.zip`` - - Output to: - ``{bucket}/response/cluster_out/{unique-id}/input.zip.out`` + - Reads input from: ``{bucket}/output/classification/{unique-id}/input.zip`` + - Output to: ``{bucket}/response/cluster_out/{unique-id}/input.zip.out`` - Process_cluster: lambda function - Create_flow: lambda function - Transform-job-flow-{unique-id}: Batch transform job - - Reads input from: - ``{bucket}/output/cluster/{unique-id}/input_flow.json`` - - Output to: - ``{bucket}/response/flow_out/{unique-id}/input_flow.json.out`` + - Reads input from: ``{bucket}/output/cluster/{unique-id}/input_flow.json`` + - Output to: ``{bucket}/response/flow_out/{unique-id}/input_flow.json.out`` - Process_flow: lambda function - 2. You can use the Amazon SageMaker console and navigate to Inference - → Batch transform jobs, to view the created jobs for your input. + 2. You can use the Amazon SageMaker console and navigate to Inference → Batch transform jobs, to view the created jobs for your input. - 3. You can monitor the progress on CloudWatch logs for each lambda - function and transform job created. + 3. You can monitor the progress on CloudWatch logs for each lambda function and transform job created. 4. Wait for a complete output to show up on the S3 bucket. (s3://alert-detector/output/flow/{unique-id}/) \ No newline at end of file diff --git a/docs/source/subscription.rst b/docs/source/subscription.rst index 58e91b2..58f3eda 100644 --- a/docs/source/subscription.rst +++ b/docs/source/subscription.rst @@ -10,18 +10,12 @@ ATTACK Technique Detector .. image:: resources/subscribe_to_technique_detector.png :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% :align: center 2. Click on the ``Accept offer`` button on the next page. .. image:: resources/accept_offer.png :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% :align: center .. note:: @@ -31,9 +25,6 @@ ATTACK Technique Detector .. image:: resources/model_package_arn.png :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% :align: center @@ -46,18 +37,12 @@ Temporal Clustering .. image:: resources/subscribe_to_temporal_clustering.png :alt: Subscribe to temporal clustering - :width: 1120px - :height: 170px - :scale: 100% :align: center 2. Click on the ``Accept offer`` button on the next page. .. image:: resources/accept_offer.png :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% :align: center .. note:: @@ -67,9 +52,6 @@ Temporal Clustering .. image:: resources/model_package_arn.png :alt: Subscribe to flow detector - :width: 1120px - :height: 170px - :scale: 100% :align: center @@ -82,18 +64,12 @@ MITRE ATTACK Flow Detector .. image:: resources/subscribe_to_flow_detector.png :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% :align: center 2. Click on the ``Accept offer`` button on the next page. .. image:: resources/accept_offer.png :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% :align: center .. note:: @@ -103,7 +79,4 @@ MITRE ATTACK Flow Detector .. image:: resources/model_package_arn.png :alt: Subscribe to technique detector - :width: 1120px - :height: 170px - :scale: 100% :align: center \ No newline at end of file diff --git a/docs/source/troubleshoot.rst b/docs/source/troubleshoot.rst index 16696e9..dd760d3 100644 --- a/docs/source/troubleshoot.rst +++ b/docs/source/troubleshoot.rst @@ -12,18 +12,12 @@ AWS console for the region you are using. Search for ``Service Quotas`` .. image:: resources/service_quotas.png :alt: Service Quota AWS console - :width: 1341px - :height: 221px - :scale: 100% :align: center 2. Search for `` for transform job usage`` .. image:: resources/quota_instance_types.png :alt: Quoatas for Instance types - :width: 1303px - :height: 612px - :scale: 100% :align: center 3. Select the required instance type from the list and click on ``Request From 33537302011909bc5452bd8d0abae3180abc5ca9 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Sat, 1 Jun 2024 01:11:27 +0000 Subject: [PATCH 12/15] AWS documentation --- docs/source/end_to_end_test.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst index ef446ca..de2213d 100644 --- a/docs/source/end_to_end_test.rst +++ b/docs/source/end_to_end_test.rst @@ -9,7 +9,7 @@ How to test end-to-end as ``input`` and create the folder. 2. Sample input json file: - .. code-block:: json + .. code-block:: { "input": [ { @@ -33,7 +33,7 @@ How to test end-to-end Input data JSON description: - .. code-block:: json + .. code-block:: { "input": [ { From d6061730e5de2d8c38f988513146379ee12812ca Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Sat, 1 Jun 2024 01:15:15 +0000 Subject: [PATCH 13/15] AWS documentation --- docs/source/end_to_end_test.rst | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst index de2213d..3b11210 100644 --- a/docs/source/end_to_end_test.rst +++ b/docs/source/end_to_end_test.rst @@ -9,7 +9,8 @@ How to test end-to-end as ``input`` and create the folder. 2. Sample input json file: - .. code-block:: + .. code-block:: JSON + { "input": [ { @@ -33,7 +34,8 @@ How to test end-to-end Input data JSON description: - .. code-block:: + .. code-block:: JSON + { "input": [ { From f31509bd86759ec63d51ef42cf3859e82b00121a Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Sat, 1 Jun 2024 01:24:35 +0000 Subject: [PATCH 14/15] AWS documentation --- docs/source/deploy.rst | 6 +++--- docs/source/end_to_end_test.rst | 6 +++--- docs/source/subscription.rst | 6 +++--- 3 files changed, 9 insertions(+), 9 deletions(-) diff --git a/docs/source/deploy.rst b/docs/source/deploy.rst index 8da84b7..a85f0d0 100644 --- a/docs/source/deploy.rst +++ b/docs/source/deploy.rst @@ -32,7 +32,7 @@ Deploy resources using the Cloud Formation template Give a name to the stack in ``Stack name``. - Values that are required to be added: + Fill in the following parameter values as they require user input: **BucketName:**\ The name of S3 bucket that you want to create. (required to change as the current value populated may not be @@ -53,9 +53,9 @@ Deploy resources using the Cloud Formation template **FlowModelARN:**\ The ARN of the subscribed model package for MITRE flow detector - The recommended value for parameter: + Recommended value for parameter: - ChunkSize: The size of a single chunk that will be processed at a + **ChunkSize:**\ The size of a single chunk that will be processed at a time for an input file uploaded to S3. Recommended chunk_size is below ``50000``. diff --git a/docs/source/end_to_end_test.rst b/docs/source/end_to_end_test.rst index 3b11210..4711871 100644 --- a/docs/source/end_to_end_test.rst +++ b/docs/source/end_to_end_test.rst @@ -10,7 +10,7 @@ How to test end-to-end 2. Sample input json file: .. code-block:: JSON - + { "input": [ { @@ -73,7 +73,7 @@ How to test end-to-end All fields are required unless mentioned otherwise. -3. Upload input json file to the s3 bucket in path (eg: s3://{bucket-name}/input/). The name of the input file does not matter to the end-to-end flow. Note that if you upload a file with the same name, it will be overwritten in S3 bucket. +3. Upload input json file to the s3 bucket in path: ``s3://{bucket-name}/input/``. The name of the input file does not matter to the end-to-end flow. Note that if you upload a file with the same name, it will be overwritten in S3 bucket. 1. Once you upload the input file. Lets say ``input.json``. Then the control flow will be as follows: @@ -103,4 +103,4 @@ How to test end-to-end 3. You can monitor the progress on CloudWatch logs for each lambda function and transform job created. -4. Wait for a complete output to show up on the S3 bucket. (s3://alert-detector/output/flow/{unique-id}/) \ No newline at end of file +4. Wait for a complete output to show up on the S3 bucket. ``s3://alert-detector/output/flow/{unique-id}/`` \ No newline at end of file diff --git a/docs/source/subscription.rst b/docs/source/subscription.rst index 58f3eda..c760424 100644 --- a/docs/source/subscription.rst +++ b/docs/source/subscription.rst @@ -19,7 +19,7 @@ ATTACK Technique Detector :align: center .. note:: - Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. 3. Make note of the technique detector model package ARN by going to the Sagemaker console. On the left-hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. @@ -46,7 +46,7 @@ Temporal Clustering :align: center .. note:: - Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. 3. Make note of the temporal clustering model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. @@ -73,7 +73,7 @@ MITRE ATTACK Flow Detector :align: center .. note:: - Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. 3. Make note of the flow detector model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. From 427501d78d2d8517ae6e68256a0e62b8d1dd8516 Mon Sep 17 00:00:00 2001 From: Nidheesh Date: Sat, 1 Jun 2024 01:27:04 +0000 Subject: [PATCH 15/15] AWS documentation --- docs/source/subscription.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/source/subscription.rst b/docs/source/subscription.rst index c760424..043862d 100644 --- a/docs/source/subscription.rst +++ b/docs/source/subscription.rst @@ -19,7 +19,7 @@ ATTACK Technique Detector :align: center .. note:: - Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. 3. Make note of the technique detector model package ARN by going to the Sagemaker console. On the left-hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. @@ -46,7 +46,7 @@ Temporal Clustering :align: center .. note:: - Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. 3. Make note of the temporal clustering model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``. @@ -73,7 +73,7 @@ MITRE ATTACK Flow Detector :align: center .. note:: - Note: Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. + Do not click on ``Continue to configuration`` at the top of the page. You can move to the next step. 3. Make note of the flow detector model package ARN by going to the Sagemaker console. On the left hand side panel, navigate to Inference → Marketplace model packages. Select ``AWS Marketplace subscriptions`` tab. Click on the desired product title and copy the ``Model package ARN``.

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