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Suzaku Logo

[ English ] | [日本語]

About Suzaku

Suzaku (朱雀) means "Vermilion Bird" who is a god who flies above the clouds ruling over the southern heavens in Chinese mythology.

Suzaku is a threat hunting and fast forensics timeline generator for cloud logs. (Imagine Hayabusa but for cloud logs instead of Windows event logs.) It is currently under active development with basic native Sigma detection support for AWS CloudTrail logs. After AWS, we plan on supporting Azure and GCP logs.

With cloud logs, there are thousands of different API calls and more events then anyone could sift through manually. Suzaku is designed to not just find the attacks amongst the noise, but also to provide you with a DFIR timeline that contains only the events and data you need to perform a fast-forensics investigation. We also plan on creating summaries, search capabilities, etc... in order to quickly discover what happened at a high level as well as not miss any events that an attacker performed after you discover them.

Companion Projects

  • suzaku-rules - our repository of Sigma rules. New upstream Sigma rules are added automatically. We also host our own rules here.
  • suzaku-sample-data - a repository of various cloud logs with attack evidence inside them used for testing Suzaku as well as for writing new detection rules.

Table of Contents

Screenshots

Startup

Suzaku Startup

DFIR Timeline Terminal Output

Terminal Output

Detection Frequency Timeline

Detection Frequency Timeline

Results Summary

Results Summary

Features

  • Cross-platform support: Windows, Linux, macOS.
  • Developed in Rust to be memory safe and fast.
  • Scans .json or compressed .json.gz files.
  • Creates single easy-to-analyze timelines for forensic investigations and incident response.
  • Threat hunting based on IoC signatures written in easy to read/create/edit YML-based Sigma rules.
  • Save results to CSV, JSON and JSONL.

Downloads

Please download the latest stable version of Suzaku with compiled binaries or compile the source code from the Releases page.

We provide binaries for the following architectures:

  • Linux ARM 64-bit GNU (suzaku-x.x.x-lin-aarch64-gnu)
  • Linux Intel 64-bit GNU (suzaku-x.x.x-lin-x64-gnu)
  • Linux Intel 64-bit MUSL (suzaku-x.x.x-lin-x64-musl)
  • macOS ARM 64-bit (suzaku-x.x.x-mac-aarch64)
  • macOS Intel 64-bit (suzaku-x.x.x-mac-x64)
  • Windows ARM 64-bit (suzaku-x.x.x-win-aarch64.exe)
  • Windows Intel 64-bit (suzaku-x.x.x-win-x64.exe)
  • Windows Intel 32-bit (suzaku-x.x.x-win-x86.exe)

For some reason the Linux ARM MUSL binary does not run properly so we do not provide that binary. It is out of our control, so we plan on providing it in the future when it gets fixed.

Git Cloning

You can git clone the repository with the following command and compile binary from source code:

Warning: The main branch of the repository is for development purposes so you may be able to access new features not yet officially released, however, there may be bugs so consider it unstable.

git clone https://github.com/Yamato-Security/suzaku.git --recursive

Note: If you forget to use --recursive option, the rules folder, which is managed as a git submodule, will not be cloned.

You can sync the rules folder and get latest Suzaku rules with git pull --recurse-submodules or use the following command:

./suzaku update-rules

If the update fails, you may need to rename the rules folder and try again.

Caution: When updating, rules and config files in the rules folder are replaced with the latest rules and config files in the suzaku-rules repository. Any changes you make to existing files will be overwritten, so we recommend that you make backups of any files that you edit before updating. If you add new rules inside of the rules folder, they will not be overwritten or deleted when updating.

Advanced: Compiling From Source (Optional)

If you have Rust installed, you can compile from source with the following command:

Note: To compile, you usually need the latest version of Rust.

cargo build --release

You can download the latest unstable version from the main branch or the latest stable version from the Releases page.

Be sure to periodically update Rust with:

rustup update stable

The compiled binary will be outputted in the ./target/release folder.

Updating Rust Packages

You can update to the latest Rust crates before compiling:

cargo update

Please let us know if anything breaks after you update.

macOS Compiling Notes

If you receive compile errors about openssl, you will need to install Homebrew and then install the following packages:

brew install pkg-config
brew install openssl

Linux Compiling Notes

If you receive compile errors about openssl, you will need to install the following package.

Ubuntu-based distros:

sudo apt install libssl-dev

Fedora-based distros:

sudo yum install openssl-devel

Cross-compiling Linux MUSL Binaries

On a Linux OS, first install the target.

rustup install stable-x86_64-unknown-linux-musl
rustup target add x86_64-unknown-linux-musl

Compile with:

cargo build --release --target=x86_64-unknown-linux-musl

Warning: Be sure to run rustup install stable-x86_64-unknown-linux-musl whenever there is a new stable version of Rust as rustup update stable will not update the compiler for cross compiling and you may receive build errors.

The MUSL binary will be created in the ./target/x86_64-unknown-linux-musl/release/ directory. MUSL binaries are are about 15% slower than the GNU binaries, however, they are more portable accross different versions and distributions of linux.

Running Suzaku

Windows

In a Command/PowerShell Prompt or Windows Terminal, just run the appropriate 32-bit or 64-bit Windows binary.

Error when trying to scan a file or directory with a space in the path

When using the built-in Command or PowerShell prompt in Windows, you may receive an error that Suzaku was not able to load any files if there is a space in your file or directory path. In order to load the log files properly, be sure to do the following:

  1. Enclose the file or directory path with double quotes.
  2. If it is a directory path, make sure that you do not include a backslash for the last character.

Characters not being displayed correctly

With the default font Lucida Console on Windows, various characters used in the logo and tables will not be displayed properly. You should change the font to Consalas to fix this.

Linux

You first need to make the binary executable.

chmod +x ./suzaku

Then run it from the Suzaku root directory:

./suzaku

macOS

From Terminal or iTerm2, you first need to make the binary executable.

chmod +x ./suzaku

Then, try to run it from the Suzaku root directory:

./suzaku

On the latest version of macOS, you may receive a security error when you try to run it. Click "Cancel" and then from System Preferences, open "Security & Privacy" and from the General tab, click "Allow Anyway". After that, try to run it again.

./suzaku

A warning will pop up so just click "Open". You should now be able to run suzaku.

Command List

Analysis Commands:

  • aws-ct-metrics: Generates metrics from AWS CloudTrail logs

Summary Commands:

  • aws-ct-summary: Generates a summary of activity from user ARNs

DFIR Timeline Commands:

  • aws-ct-timeline: Creates an AWS CloudTrail DFIR timeline
  • update-rules: Updates the Sigma detection rules

General Commands:

  • help: Print the help menu for commands

Command Details

Analysis Commands

aws-ct-metrics command

Use this command to create metrics on fields inside AWS CloudTrail logs. By default, it will scan the eventName field. We are currently using this command to figure out which API calls are the most common in order to prioritize writing detection rules.

Command usage

Usage: suzaku aws-ct-metrics [OPTIONS] <--directory <DIR>|--file <FILE>>

Input:
  -d, --directory <DIR>  Directory of multiple gz/json files
  -f, --file <FILE>      File path to one gz/json file

Output:
  -F, --field-name <FIELD_NAME>  The field to generate metrics for [default: eventName]
  -o, --output <FILE>            Output CSV

Display Settings:
  -K, --no-color  Disable color output
  -q, --quiet     Quiet mode: do not display the launch banner

General Options:
  -h, --help  Show the help menu

aws-ct-metrics command examples

  • Output a table of eventName API calls to screen: ./suzaku aws-ct-metrics -d ../suzaku-sample-data
  • Save to a CSV file: ./suzaku aws-ct-metrics -d ../suzaku-sample-data -o sample-metrics.csv

DFIR Summary Commands

aws-ct-summary command

This command creates a summary of the following information based on user ARNs:

  • Total number of events (API calls) (NumOfEvents)
  • Timestamp of the first API call found in the logs (FirstTimestamp)
  • Timestamp of the last API call found in the logs (LastTimestamp)
  • Commonly abused API calls that were successful (AbusedAPIs-Success)
  • Commonly abused API calls that were attempted but failed (AbusedAPIs-Failed)
  • Other API calls that are not on the list of commonly abused API calls that were successful (OtherAPIs-Success)
  • Other API calls that are not on the list of commonly abused API calls that were attempted but failed (OtherAPIs-Failed)
  • AWS regions of where the API calls were made (AWS-Regions)
  • Source IP addresses of the API call (SrcIPs)
  • User types (UserTypes)
  • User access key IDs (UserAccessKeyIDs)
  • User agents of the source who made the API call (UserAgents)

※ Note: the API calls that are commonly abused come from the config file hosted at https://github.com/Yamato-Security/suzaku-rules/blob/main/config/abused_aws_api_calls.csv. This file will be updated over time and will be locally synced every time you run the update-rules command.

These results are intended to provide analysts with information to discover compromised accounts or attacks that does not rely on specific signatures. For example, you can check to see if certain users are calling suspicious API calls that they shouldn't be calling, using regions that are not typically used, logging in from suspicious source IP addresses or with suspicious user agents, etc... After you found any suspicious API calls being called, source IP addresses or user agents, you can quickly determine which access keys might have been abused during that timeframe and pivot on those keywords in the original JSON logs to create a timeline of attacker activity.

Warning: there will be a lot of data in the cells and will most likely not display well in programs like Excel. Please use Numbers on a Mac, Timeline Explorer on Windows, etc...

AbusedAPIs-Success example:

Unique APIs: 11 | Total APIs 477,373
415,552 - RunInstances (ec2.amazonaws.com) - Spin up EC2 instances (crypto mining, tools) (2019-08-23 06:00:07 ~ 2019-08-23 06:00:07)
28,907 - GetBucketAcl (s3.amazonaws.com) - S3 recon (2019-08-21 08:03:03 ~ 2019-10-21 13:59:40)
10,095 - GetCallerIdentity (sts.amazonaws.com) - Current credentials recon (2019-08-23 06:00:07 ~ 2019-08-23 06:04:14)
9,936 - ListBuckets (s3.amazonaws.com) - S3 recon (2019-08-23 06:00:07 ~ 2019-08-23 06:14:53)
9,168 - DescribeInstances (ec2.amazonaws.com) - EC2 and network layout recon (2019-08-23 06:00:07 ~ 2019-08-23 06:04:20)
3,658 - DescribeVpcs (ec2.amazonaws.com) - EC2 and network layout recon (2019-08-21 08:03:03 ~ 2019-09-12 20:00:44)
19 - ListGroups (greengrass.amazonaws.com) - IAM enumeration (2019-08-21 08:03:03 ~ 2019-10-19 23:49:25)
14 - DescribeInstances (opsworks.amazonaws.com) - EC2 and network layout recon (2019-08-21 08:03:03 ~ 2019-10-19 23:49:22)
12 - GetBucketPolicy (s3.amazonaws.com) - S3 recon (2019-01-08 20:30:01 ~ 2020-03-29 09:06:56)
7 - ListGroups (resource-groups.amazonaws.com) - IAM enumeration (2019-01-08 20:30:01 ~ 2020-03-29 09:06:56)
5 - StartInstances (ec2.amazonaws.com) - Spin up EC2 instances (crypto mining, tools) (2019-08-21 08:03:03 ~ 2019-12-12 07:07:31)

AbusedAPIs-Failed example:

Unique APIs: 23 | Total APIs 20,464
11,603 - AssumeRole (sts.amazonaws.com) - Lateral movement via roles (2019-08-21 08:03:03 ~ 2019-09-18 07:04:12)
7,279 - GetBucketAcl (s3.amazonaws.com) - S3 recon (2019-08-21 08:03:03 ~ 2019-09-09 09:01:26)
515 - GetBucketPolicy (s3.amazonaws.com) - S3 recon (2019-08-21 08:03:03 ~ 2019-10-01 19:11:07)
331 - ListUsers (iam.amazonaws.com) - IAM enumeration (2019-08-21 08:03:03 ~ 2019-08-29 14:53:14)
210 - ListSecrets (secretsmanager.amazonaws.com) - Find credential storage locations (2019-08-21 08:03:03 ~ 2019-10-19 23:49:30)
153 - ListGroups (iam.amazonaws.com) - IAM enumeration (2019-08-21 08:03:03 ~ 2019-09-12 15:24:39)
148 - ListRoles (iam.amazonaws.com) - IAM enumeration (2019-08-21 08:03:03 ~ 2019-09-12 15:20:56)
112 - ListAccessKeys (iam.amazonaws.com) - Enumerates keys on IAM users (2019-08-21 08:03:03 ~ 2019-09-16 14:28:15)
31 - ListGroups (greengrass.amazonaws.com) - IAM enumeration (2019-08-21 08:03:03 ~ 2020-02-25 14:41:24)
...

OtherAPIs-Success example:

Unique APIs: 289 | Total APIs 143,759
98,689 - DescribeSnapshots (ec2.amazonaws.com) (2019-08-23 06:00:07 ~ 2019-08-23 06:50:59)
10,679 - DescribeSpotPriceHistory (ec2.amazonaws.com) (2019-08-21 08:03:03 ~ 2019-09-12 20:07:32)
3,740 - DescribeReservedInstancesOfferings (ec2.amazonaws.com) (2019-08-21 08:03:03 ~ 2019-09-12 20:07:30)
2,372 - DescribeSnapshotAttribute (ec2.amazonaws.com) (2019-08-21 08:03:03 ~ 2019-08-24 12:38:34)
2,307 - CreateDefaultVpc (ec2.amazonaws.com) (2019-08-23 06:00:07 ~ 2019-08-23 06:04:17)
1,532 - DescribeKeyPairs (ec2.amazonaws.com) (2019-08-23 06:00:07 ~ 2019-08-23 06:04:16)
1,504 - DescribeSecurityGroups (ec2.amazonaws.com) (2019-08-21 08:03:03 ~ 2019-09-12 20:00:40)
1,495 - DescribeImages (ec2.amazonaws.com) (2019-08-21 08:03:03 ~ 2019-09-12 20:07:26)
1,438 - CreateKeyPair (ec2.amazonaws.com) (2019-08-23 06:00:07 ~ 2019-08-23 06:04:16)
1,402 - DescribeVolumes (ec2.amazonaws.com) (2019-08-21 08:03:03 ~ 2019-09-03 12:06:20)
1,217 - DescribeSubnets (ec2.amazonaws.com) (2019-08-21 08:03:03 ~ 2019-09-12 20:00:43)
...

AWS-Regions example:

Total regions: 16
167,155 - us-west-2 (2019-08-23 06:00:07 ~ 2019-08-23 06:14:53)
113,328 - us-east-1 (2019-08-23 06:00:07 ~ 2019-08-23 06:04:14)
65,718 - ap-northeast-2 (2019-08-23 06:00:07 ~ 2019-08-23 06:22:55)
64,787 - ap-northeast-1 (2019-08-23 06:00:07 ~ 2019-08-23 06:34:57)
...

SrcIPs example:

Total source IPs: 5,293
634,454 - 5.205.62.253 (2019-08-23 06:00:07 ~ 2019-08-23 06:00:07)
23,498 - 193.29.252.218 (2019-08-21 08:03:00 ~ 2019-10-17 09:11:22)
15,925 - 155.63.17.217 (2018-04-17 10:09:00 ~ 2020-09-21 21:06:22)
9,067 - 253.0.255.253 (2018-04-17 10:09:00 ~ 2020-09-21 21:06:22)
7,078 - 163.21.250.220 (2018-04-17 10:09:00 ~ 2020-09-21 21:06:22)
6,575 - 236.9.245.88 (2018-04-17 10:09:00 ~ 2020-09-21 21:06:22)
5,138 - 84.252.252.117 (2019-01-08 20:30:01 ~ 2020-03-29 09:06:56)
4,946 - 24.251.252.2 (2019-08-21 08:03:00 ~ 2019-09-30 06:36:13)
4,225 - 211.111.151.81 (2019-08-21 08:03:00 ~ 2019-09-12 19:53:35)
...

UserType example:

IAMUser

UserAccessKeyIDs example:

Total access key ids: 629
667,476 - AKIA01U43UX3RBRDXF4Q (2019-08-23 06:00:07 ~ 2019-08-23 06:00:07)
218,544 - ASIARF55FBMFZBXLKDFW (2019-08-21 11:31:47 ~ 2019-08-23 13:00:28)
12,677 - AKIA1ZBTOEKWKVHP6GHZ (2017-02-12 21:15:12 ~ 2020-09-21 21:06:22)
8,822 - ASIAGD2JRX0V6RJGWR59 (2018-04-17 10:09:00 ~ 2020-09-21 21:06:22)
4,940 - ASIAUNHV6EHIK5MNPEKF (2019-08-21 08:03:00 ~ 2019-09-30 06:36:17)
...

Note that since there will be a large amount of temporary AWS STS access key IDs, these are filtered out by default. Add the -s, --include-sts-keys option if you want to include these.

UserAgents example:

Total user agents: 7,760
351,022 - Boto3/1.9.201 Python/2.7.12 Linux/4.4.0-159-generic Botocore/1.12.201 (2019-08-23 06:00:07 ~ 2019-08-23 06:00:07)
283,430 - Boto3/1.9.201 Python/2.7.12 Linux/4.4.0-157-generic Botocore/1.12.201 (2019-08-21 11:31:47 ~ 2019-08-23 13:00:28)
23,467 - [Boto3/1.15.13 Python/3.8.5 Darwin/19.6.0 Botocore/1.18.13 Resource] (2017-02-12 21:15:12 ~ 2020-10-07 16:05:52)
15,924 - Boto3/1.7.4 Python/2.7.12 Linux/4.4.0-119-generic Botocore/1.10.4 (2018-04-17 10:09:00 ~ 2020-09-21 21:06:22)
9,400 - aws-sdk-java/1.11.301 Linux/4.9.93-linuxkit-aufs Java_HotSpot(TM)_64-Bit_Server_VM/25.172-b11 java/1.8.0_172 (2018-04-17 10:09:00 ~ 2020-09-21 21:06:22)
6,372 - [Boto3/1.7.65 Python/3.5.2 Linux/4.13.0-37-generic Botocore/1.10.65 Resource] (2018-04-17 10:09:00 ~ 2020-09-21 21:06:22)
5,352 - AWSPowerShell/3.3.365.0 .NET_Runtime/4.0 .NET_Framework/4.0 OS/Microsoft_Windows_NT_10.0.01985.0 WindowsPowerShell/5.0 ClientSync (2019-01-08 20:30:01 ~ 2020-03-29 09:06:56)
4,945 - Boto3/1.9.231 Python/2.7.15+ Linux/4.15.0-64-generic Botocore/1.12.231 (2019-08-21 08:03:00 ~ 2019-09-30 06:36:13)
4,599 - [aws-cli/1.16.301 Python/3.7.6 Linux/5.4.0-kali3-amd64 botocore/1.13.37] (2019-08-21 08:03:00 ~ 2020-02-09 22:00:32)
3,909 - Boto3/1.14.28 Python/3.8.5 Linux/5.7.0-kali1-amd64 Botocore/1.17.28 (2019-01-08 20:30:01 ~ 2020-09-11 17:35:39)
3,450 - Boto3/1.4.2 Python/2.7.13+ Linux/4.9.0-3-amd64 Botocore/1.5.19 (2017-02-12 21:15:12 ~ 2020-09-21 21:06:22)
3,198 - Boto3/1.4.2 Python/2.7.14 Linux/4.13.0-1-amd64 Botocore/1.5.19 (2017-02-12 21:15:12 ~ 2020-09-21 21:06:22)
...

Note that the aws client tool will include the OS information in the user agent so it is possible to detect if there were API calls made from attacker OSes like kali.

Command usage

Usage:
  suzaku aws-ct-summary <INPUT> [OPTIONS]

Input:
  -d, --directory <DIR>  Directory of multiple gz/json files
  -f, --file <FILE>      File path to one gz/json file

Filtering:
  -s, --include-sts-keys  Include temporary AWS STS access key IDs

Output:
  -o, --output <FILE>           Output results to a CSV file
  -D, --hide-descriptions       Hide description of the commonly abused API calls
  -G, --GeoIP <MAXMIND-DB-DIR>  Add GeoIP (ASN, city, country) info to IP addresses

Display Settings:
  -K, --no-color  Disable color output
  -q, --quiet     Quiet mode: do not display the launch banner

General Options:
  -h, --help  Show the help menu

aws-ct-metrics command example

  • Save results to a CSV file: ./suzaku aws-ct-summary -d ../suzaku-sample-data -o sample-summary.csv

DFIR Timeline Commands

aws-ct-timeline command

Create an AWS CloudTrail DFIR timeline based on Sigma rules in the rules folder.

Command usage

Usage: suzaku aws-ct-timeline [OPTIONS] <--directory <DIR>|--file <FILE>>

General Options:
  -r, --rules <DIR/FILE>  Specify a custom rule directory or file (default: ./rules)
  -h, --help              Show the help menu

Input:
  -d, --directory <DIR>  Directory of multiple gz/json files
  -f, --file <FILE>      File path to one gz/json file

Output:
  -o, --output <FILE>              Save the results to a file
  -t, --output-type <OUTPUT_TYPE>  Output type 1: CSV (default), 2: JSON, 3: JSONL, 4: CSV & JSON, 5: CSV & JSONL [default: 1]
  -C, --clobber                    Overwrite files when saving
  -G, --GeoIP <MAXMIND-DB-DIR>     Add GeoIP (ASN, city, country) info to IP addresses
  -R, --raw-output                 Output the original JSON logs (only available in JSON formats)

Display Settings:
  -K, --no-color               Disable color output
  -N, --no-summary             Do not display results summary
  -T, --no-frequency-timeline  Disable event frequency timeline (terminal needs to support Unicode)
  -q, --quiet                  Quiet mode: do not display the launch banner

aws-ct-timeline command examples

  • Output alerts to screen: ./suzaku aws-ct-timeline -d ../suzaku-sample-data
  • Save results to a CSV file: ./suzaku aws-ct-timeline -d ../suzaku-sample-data -o sample-timeline.csv
  • Save results to CSV and JSONL files: ./suzaku aws-ct-timeline -d ../suzaku-sample-data -o sample-timeline -t 5

aws-ct-timeline output profile

Suzaku will output information based on the config/default_profile.yaml file:

Timestamp: '.eventTime'
RuleTitle: 'sigma.title'
RuleAuthor: 'sigma.author'
Level: 'sigma.level'
EventName: '.eventName'
EventSource: '.eventSource'
AWS-Region: '.awsRegion'
SrcIP: '.sourceIPAddress'
UserAgent: '.userAgent'
UserName: '.userIdentity.userName'
UserType: '.userIdentity.type'
UserAccountID: '.userIdentity.accountId'
UserARN: '.userIdentity.arn'
UserPrincipalID: '.userIdentity.principalId'
UserAccessKeyID: '.userIdentity.accessKeyId'
EventID: '.eventID'
RuleID: 'sigma.id'
  • Any field value that starts with . (ex: .eventTime) will be taken from the CloudTrail log.
  • Any field value that starts with sigma. (ex: sigma.title) will be taken from the Sigma rule.
  • Currently we only support strings but plan on supporting other types of field values.

Contribution

We would love any form of contribution. Pull requests, rule creation and sample logs are the best but feature requests, notifying us of bugs, etc... are also very welcome.

At the least, if you like our tools and resources then please give us a star on GitHub and show your support!

Bug Submission

  • Please submit any bugs you find here.
  • This project is currently actively maintained and we are happy to fix any bugs reported.
  • If you find any issues (false positives, bugs, etc...) with Suzaku rules, please report them to the suzaku-rules GitHub issues page here.
  • If you find any issues (false positives, bugs, etc...) with Sigma rules, please report them to the upstream SigmaHQ GitHub issues page here.

License

  • Suzaku is released under AGPLv3 and all rules are released under the Detection Rule License (DRL) 1.1.
  • You may freely use Suzaku internally, SaaS solutions, for consulting work, etc... However, if you use Suzaku in a type of SaaS solution and make improvements to it, we ask you to open-source those improvements and give back to the project.

Contributors

  • DustInDark (core developer)
  • Fukusuke Takahashi (core developer)
  • Zach Mathis (project leader, tool design, rules, testing, etc...) (@yamatosecurity)

Acknowledgements

Twitter

You can receive the latest news about Suzaku, rule updates, other Yamato Security tools, etc... by following us on Twitter at @SecurityYamato.

About

Suzaku (朱雀) is a sigma-based threat hunting and fast forensics timeline generator for cloud logs.

Topics

aws security engineering monitoring log azure detection gcp id threat forensics dfir response hunting sigma incident entra

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