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Cloud Fail2Ban

Fail2Ban implementation to parse logs streamed from CloudWatch in Lambda, and push bans to SNS topics

Development

Dev Setup

Preparing the development environment

pyvenv env
. env/bin/activate
pip install -e .

Running unit tests

. env/bin/activate
python ./setup.py pytest

Building

Building the Lambda package

bin/mk_lambda.sh

This will collect all necessary files for running the Lambda function and output to various zip files, ready to upload to AWS Lambda.

Build Artifacts:

  • lamdba_function_all.zip: Contains all 3 files from lambda/, suitible for running as Lambda Functions with Lambda Layers.
  • lamdba_function_complete.zip: Contains all code necessary to run as self-contained Lambda Functions. Contains all 3 files from lambda/, all modules from src/, and all dependencies in requirements.txt (except boto3).
  • lambda_layer_all.zip: Contains all modules under src/ and all dependencies from requirements.txt (except boto3). Can be used as a Lambda Layer to be used by Lambda Functions.
  • functions/: Contains zip files for each individual file in lambda/. Suitible for use as Lambda Functions with Lambda Layers.
  • layers/: Contains zip files for each individual package in src/ and dependencies in requirements.txt (except boto3). Can be used as Lambda Layers to be used by Lambda Functions.

Installing/Deploying

Additional resources

Various additional AWS rsources are used to make this system work.

CloudWatch

CloudWatch is used to stream logs to the Lambda function (either the all-in-one, or the first phase function). This is the source of data used to match against filters.

Lambda

Lambda is used as the execution environment for the Lambda functions, and must have access to the DynamoDB table and SNS topic.

DynamoDB

DynamoDB stores records of matches against the filter set. These records are then checked against the jail rules to determine if there are enough matches in a given time for a given set of filters. In a 2-phase setup, DynamoDB triggers are used to execute the 2nd phase jail Lambda function.

SNS

An SNS topic is used as the endpoint to send ban messages to. SQS queues subscribe to this topic in order to receive ban notifications.

SQS

Clients create SQS queues and subscribe them to the SNS topic, using filters to control which jails they want to receive ban messages for.

Client Code

The client code (cloud_f2b.client) is configured as an entry point in the repository's setup.py. This module may be installed on hosts with access to create SQS queues and subsccribe to the SNS topic to receive ban notifications. The user running the code must have sudo access to run the fail2ban-client command and may be run as a service.

If Puppet is available, this Puppet module can be used to deploy this module to hosts into it's own Python Virtual Environment.

Lambda Functions

There are 3 files under the lambda directory that can be used in two different ways:

Single Lambda (Single-Region)

cloudwatch_filter_and_jail.py:run provides an all-in-one Lambda function that may be used as a single-phase setup, checking jail rules immediately after checking logs for matches against the filters. This is good for single-region deployments that do not leverage DynamoDB Global Tables and DynamoDB Triggers.

2-Phase Lambda (Multi-Region)

This repository contains two alternate functions that are sufficient for a multi-region architecture and leverage a 2-phase Lambda configuration.

cloudwatch_filter.py:run provides the first phase code that will accept logs streamed from CloudWatch, check the lines against the filters, and insert rows into DynamoDB.

cloudwatch_jail.py:run receives row update information from DynamoDB triggers, checks the data stored in DynamoDB against jail rules for filter in the updated row(s), and sends out a ban alert to the SNS topic if the IP address is above a jail's threshold.

This allows for jail rules to be tested in all regions based on new matches from any region.

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Fail2Ban implementation in AWS Lambda to parse logs from CloudWatch

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