SIEM Logstash parsing for more than hundred technologies

Overview

LogIndexer Pipeline

Logstash Parsing Configurations for Elastisearch SIEM and OpenDistro for Elasticsearch SIEM

Why this project exists

The overhead of implementing Logstash parsing and applying Elastic Common Schema (ECS) across audit, security, and system logs can be a large drawback when using Elasticsearch as a SIEM (Security Incident and Event Management). The Cargill SIEM team has spent significant time on developing quality Logstash parsing processors for many well-known log vendors and wants to share this work with the community. In addition to Logstash processors, we have also included log collection programs for API-based log collection, as well as the setup scripts used to generate our pipeline-to-pipeline architecture.

Quick start Instructions

"Quick start" mostly depends on how your Logstash configuration is set up. If you have your own setup already established, it might be best to use the processors that apply to your organization's log collection (found in the "config" directory). If you are seeking to use the architecture in this repo, consult the README found in the build_scripts directory. We will be adding an elaborate setup guide soon.

Contributions

We welcome and encourage individual contributions to this repo. Please see the Contribution.md guide in the root of the repo. Please note that we reserve the right to close pull requests or issues that appear to be out of scope for our project, or for other reasons not specified.

Questions, Comments & Expected Level of Attention

Please create an issue and someone will try to respond to your issue within 5 business days. However, it should be noted that while we will try revisit the repository semi-regularly, we are not held beholden to this response time (life happens). We welcome other individuals' answers and input as well.

Licensing

Apache-2.0

Comments
  • improved cisco ACI processor

    improved cisco ACI processor

    Improved the cisco aci processor with the following changes:

    1. simplified grok parsing
    2. removed complex logic used to detected event and error messages
    3. fixed broken parsing of the device hostname sending logs
    4. tmp.rule does NOT rapresent an username , it's instead the even.reason as described by cisco, - The action or condition that caused the event, such as a component failure or a threshold crossing.

    sample messages used for testing

    <186>Dec 08 21:20:20.614 ABC-DCA-NPRD-ACILEF-104 %LOG_LOCAL7-2-SYSTEM_MSG [F0532][raised][interface-physical-down][critical][sys/phys-[eth1/47]/phys/fault-F0532] Port is down, reason being suspended(no LACP PDUs)(connected), used by EPG on node 104 of fabric ACI Fabric1 with hostname ABC-DCA-NPRD-ACILEF-104
    
    <190>Nov 24 18:20:53.237 ABC-DCB-ACIAPC-003 %LOG_LOCAL7-6-SYSTEM_MSG [E4206143][transition][info][fwrepo/fw-aci-apic-dk9.5.2.6e] Firmware aci-apic-dk9.5.2.6e created
    
    opened by anubisg1 3
  • [Help / Documentation] - how to classify incoming syslog messages

    [Help / Documentation] - how to classify incoming syslog messages

    As per title, how would we classify incoming syslog messages so that they end up in the proper process pipeline?

    Let's take a common use case where in the network we have Cisco IOS router and switches , Cisco ACI , Cisco WLC and ISE, then Checkpoint Firewalls , F5 load balancers etc ...

    generally those devices would all be sending logs to the syslog server IP port 514. but how would we classify from where each message is coming from in order to send it to the specific processor ?

    are we supposed to setup a different input queu for each processor (for example, different port ofn the syslog server so that for example, ACI goes to 192.168.10.10 port 5514 whole Checkpoint on port 5515? )

    or is there an ip filter that says, if source IP is X send to ACI processor if Y send to checkpoint ..

    or what other options are there?

    question 
    opened by anubisg1 2
  • host split enrichment error

    host split enrichment error

    For certain hostnames the host split enrichment is causing the pipeline to be blocked until grok timesout.

    [2022-06-10T15:54:58,563][WARN ][org.logstash.plugins.pipeline.PipelineBus][processor] Attempted to send event to 'enrichments' but that address was unavailable. Maybe the destination pipeline is down or stopping? Will Retry. [2022-06-10T15:57:22,451][WARN ][logstash.filters.grok ][enrichments] Timeout executing grok '^(?<[host][tmp]>.?).(?<[host][domain]>.?)$' against field '[host][hostname]' with value 'abc-name123-xyz.domain.com'!

    opened by nnovaes 2
  • Fix deprecation warnings

    Fix deprecation warnings

    User Story - details

    For translate we should use source, target instead of field, destination. On boot logstash 15 shows these warnings:

    [2021-11-09T16:53:33,518][WARN ][logstash.filters.translate] You are using a deprecated config setting "destination" set in translate. Deprecated settings will continue to work, but are scheduled for removal from logstash in the future. Use `target` option instead. If you have any questions about this, please visit the #logstash channel on freenode irc.
    [2021-11-09T16:53:33,519][WARN ][logstash.filters.translate] You are using a deprecated config setting "field" set in translate. Deprecated settings will continue to work, but are scheduled for removal from logstash in the future. Use `source` option instead. If you have any questions about this, please visit the #logstash channel on freenode irc.
    

    Atleast upto Logstash 13 new fields are not supported so let's make this change when we upgrade.

    Tasks

    • [ ]
    • [ ]

    X-Reference Issues

    Related Code

    << Any related code here... >>
    
    opened by KrishnanandSingh 2
  • native vlan mismatch and other improvements

    native vlan mismatch and other improvements

    Description

    • Parsing for Native VLAN mismatch error messages 2021-10-14T13:28:06.497Z {name=abc.com} <188>132685: Oct 14 21:28:07.975 GMT: %CDP-4-NATIVE_VLAN_MISMATCH: Native VLAN mismatch discovered on FastEthernet0/1 (1), with xyz GigabitEthernet1/0/1 (36).
    • Lowercase [actual_msg] field
    • fix typo on timestamp
    • add the timezone to [tmp][devicetimestamp]
    • removed the old parser code for native vlan mismatch
    • removed a catch all condition in the old parser
    • lowercase [rule.category]
    opened by nnovaes 2
  • Feature Request: Add known applications + risk score field based off destination.port fields

    Feature Request: Add known applications + risk score field based off destination.port fields

    User Story - details

    As a SIEM engineer I want to know port numbers associated with the destination.port field. This will allow me to quickly identify potential applications communicating on the session and also the risk of the traffic Im observing

    Tasks

    • Create a port lookup translation.
    • Add risk category score to application (scale of 1-10 or severity name).

    Examples:

    3389 -> Remote Desktop Protocol (high risk)
    22 - Secure Shell (high risk)
    3306 - MySQL (medium risk)
    6881-6889 - Bit Torrent (high risk)
    
    opened by ryanpodonnell1 2
  • Cisco IOS (cisco.router and cisco.switch) new rules

    Cisco IOS (cisco.router and cisco.switch) new rules

    Description

    new parsing rules for cisco.router and cisco.switch. The old version of this processor needs some rework. However, there are functioning bits of it that i have preserved, since they kind of work. the new rules provide some good foundation for future "full" parsing and also covers bgp and interface up/down msgs. the lookup database for translate filters is static.

    opened by nnovaes 2
  • Update syslog_log_security_sdwan.app.conf

    Update syslog_log_security_sdwan.app.conf

    Description

    These updates correct assignment of versa fields to the ECS model. It also adds back versa specific fields that do not map to ECS into a separate [labels][all] field that works like tags. I couldn't find clean way to implement it without using the add_tag command, so i have saved the event tags to another field and then restored back

    @Akhila-Y please review as well.

    opened by nnovaes 1
  • added space, testing new IDE

    added space, testing new IDE

    Description

    Please provide a description of your proposed changes - providing obfuscated log/code examples is highly encouraged.

    Related Issues

    Are there any Issues to this PR?

    Todos

    Are there any additional items that must be completed before this PR gets merged in?

    • [ ]
    • [ ]
    opened by MehaSal 1
  • added new ECS fields to .csv file

    added new ECS fields to .csv file

    Description

    Please provide a description of your proposed changes - providing obfuscated log/code examples is highly encouraged.

    Related Issues

    Are there any Issues to this PR?

    Todos

    Are there any additional items that must be completed before this PR gets merged in?

    • [ ]
    • [ ]
    opened by MehaSal 1
  • added missing fields for coverge reporting to aws cloudtrail

    added missing fields for coverge reporting to aws cloudtrail

    Description

    Please provide a description of your proposed changes - providing obfuscated log/code examples is highly encouraged.

    Related Issues

    Are there any Issues to this PR?

    Todos

    Are there any additional items that must be completed before this PR gets merged in?

    • [ ]
    • [ ]
    opened by MehaSal 1
  • [[enrichments]>worker22] ruby - Ruby exception occurred: no implicit conversion of nil into String

    [[enrichments]>worker22] ruby - Ruby exception occurred: no implicit conversion of nil into String

    Describe the bug

    [ERROR] 2022-11-26 07:54:05.540 [[enrichments]>worker14] ruby - Ruby exception occurred: no implicit conversion of nil into String {:class=>"TypeError", :backtrace=>["(ruby filter code):68:in `block in filter_method'", "org/jruby/RubyArray.java:1865:in `each'", "(ruby filter code):67:in `block in filter_method'", "/usr/share/logstash/vendor/bundle/jruby/2.6.0/gems/logstash-filter-ruby-3.1.8/lib/logstash/filters/ruby.rb:96:in `inline_script'", "/usr/share/logstash/vendor/bundle/jruby/2.6.0/gems/logstash-filter-ruby-3.1.8/lib/logstash/filters/ruby.rb:89:in `filter'", "/usr/share/logstash/logstash-core/lib/logstash/filters/base.rb:159:in `do_filter'", "/usr/share/logstash/logstash-core/lib/logstash/filters/base.rb:178:in `block in multi_filter'", "org/jruby/RubyArray.java:1865:in `each'", "/usr/share/logstash/logstash-core/lib/logstash/filters/base.rb:175:in `multi_filter'", "org/logstash/config/ir/compiler/AbstractFilterDelegatorExt.java:134:in `multi_filter'", "/usr/share/logstash/logstash-core/lib/logstash/java_pipeline.rb:301:in `block in start_workers'"]}
    

    X-Reference issues

    (Cross reference any user stories that this bug might be affecting)

    Steps To Reproduce

    start the enrichment pipeline. I'm using logstash 8.5.2

    Expected behavior

    no error should be seen

    Additional context

    The following components in enrichment make use of ruby filer, but i don't understand what is the culprit

    ./02_ecs_data_type.conf
    ./04_timestamp.conf
    ./11_related_hosts.conf
    ./12_related_user.conf
    ./13_related_ip.conf
    ./14_related_hash.conf
    ./16_related_mac.conf
    ./93_mitre.conf
    ./94_remove_empty_n_truncate.conf
    
    bug wontfix 
    opened by anubisg1 2
  • cisco processor fails because of missing hostname and lowercase date

    cisco processor fails because of missing hostname and lowercase date

    I'm working with syslog_audit_cisco.switch.conf and i found the following issues:

    1. the syslog message is assumed here https://github.com/Cargill/OpenSIEM-Logstash-Parsing/blob/1.0/config/processors/syslog_audit_cisco.switch.conf#L52 as
      # {timesdtamp} {facility} {severity} {mnemonic} {description}
      # seq no:timestamp: %facility-severity-MNEMONIC:description
    

    in reality most people would configure "logging origin-id hostname" which will change the log format into

      # {hostname} {timesdtamp} {facility} {severity} {mnemonic} {description}
      # seq no: hostname: timestamp: %facility-severity-MNEMONIC:description
    
    1. the parser at line https://github.com/Cargill/OpenSIEM-Logstash-Parsing/blob/1.0/config/processors/syslog_audit_cisco.switch.conf#L33 is modifying the hostname field before that field is parsed (maybe this is assumed from kafka, instead of being taken from the logs?

    2. in line https://github.com/Cargill/OpenSIEM-Logstash-Parsing/blob/1.0/config/processors/syslog_audit_cisco.switch.conf#L48 the message is converted to lower case, but that causes date parse failures later on, becuase of case missmatch .

    Nov 17 11:44:46.490 UTC matches, but when i have nov 17 11:44:46.490 utc it fails on the date parsing here: https://github.com/Cargill/OpenSIEM-Logstash-Parsing/blob/1.0/config/processors/syslog_audit_cisco.switch.conf#L77

    Sample log entry for reference:

    <14>4643: Switch-core01: Nov 17 11:44:46.490 UTC: %LINK-3-UPDOWN: Interface GigabitEthernet1/0/27, changed state to up

    opened by anubisg1 0
  • GeoLitePrivate2-City.mmdb doesn't exist

    GeoLitePrivate2-City.mmdb doesn't exist

    to use the geoip enrichment, you need to files, specifically

              database => "/mnt/s3fs_geoip/GeoLite2-City.mmdb"
              database => "/mnt/s3fs_geoip/GeoLitePrivate2-City.mmdb"
    

    unfortunately seems like GeoLitePrivate2-City.mmdb doesn't exist anywhere in the internet and maxmind only provides

    • GeoLite2-ASN.mmdb
    • GeoLite2-City.mmdb
    • GeoLite2-Country.mmdb

    i'd expect that either more information on where to find GeoLitePrivate2-City.mmdb is added to the documentation or the enrichment pipeline is updated to function without that file

    documentation question 
    opened by anubisg1 3
  • Validate ECS fields

    Validate ECS fields

    User Story - details

    There should be an enrichment checking that only permitted values are stored in ECS fields that have a predefined set of values, so those fields can be compliant with ECS. See https://www.elastic.co/guide/en/ecs/1.9/ecs-event.html for more info. I believe event.xyz are the only fields that have their values defined. If that's true the sample code below should take care of doing this validation.

    Tasks

    • [ ]
    • [ ]

    X-Reference Issues

    Related Code

    the sample configuration below picks the event.type value that came from the processors and populates ecs_status with valid or event.type-invalid_field_value. therefore, if the ecs_status is not valid, it will add a tag that will have event.type-invalid_field_value. i.e. if event.type is "process", because "process" is not among the allowed values for event.type, a event.type-invalid_field_value: process will be added.

     translate {
                field => "event.type"
                dictionary => [
                "access", "valid", 
                "admin", "valid", 
                "allowed", "valid", 
                "change", "valid", 
                "connection", "valid", 
                "creation", "valid", 
                "deletion", "valid", 
                "denied", "valid", 
                "end", "valid", 
                "error", "valid", 
                "group", "valid", 
                "info", "valid", 
                "installation", "valid", 
                "protocol", "valid", 
                "start", "valid", 
                "user", "valid"
                ]
                exact => true
                # [field]-[error]
                fallback => "event.type-invalid_field_value"
                destination => "ecs_status"
            }
        if [ecs_status] !~ "valid" {
            mutate {
                add_tag => [ "%{ecs_status}: %{event.type}" ]
                remove_field => [ "ecs_status", "event.type"]
            }
        }
    
        #EVENT.CATEGORY
        translate {
                field => "event.category"
                dictionary => [
                "authentication", "valid", 
                "configuration", "valid", 
                "driver", "valid", 
                "database", "valid", 
                "file", "valid", 
                "host", "valid", 
                "iam", "valid", 
                "intrusion_detection", "valid", 
                "malware", "valid", 
                "network", "valid", 
                "package", "valid", 
                "process", "valid", 
                "web", "valid"
                ]
                exact => true
                # [field]-[error]
                fallback => "event.category-invalid_field_value"
                destination => "ecs_status"
            }
        if [ecs_status] !~ "valid" {
            mutate {
                add_tag => [ "%{ecs_status}: %{event.category}" ]
                remove_field => [ "ecs_status", "event.category"]
    
            }
        }
    
        # event.kind
         translate {
                field => "event.kind"
                dictionary => [
                "alert", "valid", 
                "event", "valid", 
                "metric", "valid", 
                "state", "valid", 
                "pipeline_error", "valid", 
                "signal", "valid"
                ]
                exact => true
                # [field]-[error]
                fallback => "event.kind-invalid_field_value"
                destination => "ecs_status"
            }
        if [ecs_status] !~ "valid" {
            mutate {
                add_tag => [ "%{ecs_status}: %{event.kind}" ]
                remove_field => [ "ecs_status", "event.kind"]
    
            }
        }
    
    
        # event.outcome
         translate {
                field => "event.outcome"
                dictionary => [
                "failure", "valid", 
                "success", "valid", 
                "unknown", "valid"
                ]
                exact => true
                # [field]-[error]
                fallback => "event.outcome-invalid_field_value"
                destination => "ecs_status"
            }
        if [ecs_status] !~ "valid" {
            mutate {
                add_tag => [ "%{ecs_status}: %{event.outcome}" ]
                remove_field => [ "ecs_status", "event.outcome"]
    
            }
        }
    
    opened by nnovaes 0
Releases(v0.1-beta)
  • v0.1-beta(May 19, 2021)

    This release lack an elaborate usage documentation so marking this as beta. Users can still work with it by going through the python script. Soon documentation would be added.

    Source code(tar.gz)
    Source code(zip)
Owner
Working to nourish the world. Committed to helping the world thrive
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity

MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity Introduction The 3D LiDAR place recognition aim

16 Dec 08, 2022
TICC is a python solver for efficiently segmenting and clustering a multivariate time series

TICC TICC is a python solver for efficiently segmenting and clustering a multivariate time series. It takes as input a T-by-n data matrix, a regulariz

406 Dec 12, 2022
A curated list of references for MLOps

A curated list of references for MLOps

Larysa Visengeriyeva 9.3k Jan 07, 2023
S-attack library. Official implementation of two papers "Are socially-aware trajectory prediction models really socially-aware?" and "Vehicle trajectory prediction works, but not everywhere".

S-attack library: A library for evaluating trajectory prediction models This library contains two research projects to assess the trajectory predictio

VITA lab at EPFL 71 Jan 04, 2023
[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation

Self-Supervised Learning of Image Scale and Orientation Estimation (BMVC 2021) This is the official implementation of the paper "Self-Supervised Learn

Jongmin Lee 17 Nov 10, 2022
A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maximum bidding

Business Problem A commany has recently introduced a new type of bidding, the average bidding, as an alternative to the bid given to the current maxim

Kübra Bilinmiş 1 Jan 15, 2022
Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"

Aspect-level Sentiment Classification Code and dataset for ACL2018 [paper] ‘‘Exploiting Document Knowledge for Aspect-level Sentiment Classification’’

Ruidan He 146 Nov 29, 2022
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Stock Price Prediction of Apple Inc. Using Recurrent Neural Network OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network Dataset:

Nouroz Rahman 410 Jan 05, 2023
DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time

DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time Introduction This is official implementation for DR-GAN (IEEE TCS

Kang Liao 18 Dec 23, 2022
Ankou: Guiding Grey-box Fuzzing towards Combinatorial Difference

Ankou Ankou is a source-based grey-box fuzzer. It intends to use a more rich fitness function by going beyond simple branch coverage and considering t

SoftSec Lab 54 Dec 24, 2022
The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

EMANet News The bug in loading the pretrained model is now fixed. I have updated the .pth. To use it, download it again. EMANet-101 gets 80.99 on the

Xia Li 李夏 663 Nov 30, 2022
Simple implementation of OpenAI CLIP model in PyTorch.

It was in January of 2021 that OpenAI announced two new models: DALL-E and CLIP, both multi-modality models connecting texts and images in some way. In this article we are going to implement CLIP mod

Moein Shariatnia 226 Jan 05, 2023
The codes and related files to reproduce the results for Image Similarity Challenge Track 1.

ISC-Track1-Submission The codes and related files to reproduce the results for Image Similarity Challenge Track 1. Required dependencies To begin with

Wenhao Wang 115 Jan 02, 2023
Code release for Convolutional Two-Stream Network Fusion for Video Action Recognition

Convolutional Two-Stream Network Fusion for Video Action Recognition

Christoph Feichtenhofer 676 Dec 31, 2022
An index of algorithms for learning causality with data

awesome-causality-algorithms An index of algorithms for learning causality with data. Please cite our survey paper if this index is helpful. @article{

Ruocheng Guo 2.3k Jan 08, 2023
Deduplicating Training Data Makes Language Models Better

Deduplicating Training Data Makes Language Models Better This repository contains code to deduplicate language model datasets as descrbed in the paper

Google Research 431 Dec 27, 2022
Transfer Learning Remote Sensing

Transfer_Learning_Remote_Sensing Simulation R codes for data generation and visualizations are in the folder simulation. Experiment: California Housin

2 Jun 21, 2022
Neural Point-Based Graphics

Neural Point-Based Graphics Project   Video   Paper Neural Point-Based Graphics Kara-Ali Aliev1 Artem Sevastopolsky1,2 Maria Kolos1,2 Dmitry Ulyanov3

Ali Aliev 252 Dec 13, 2022
Generate images from texts. In Russian

ruDALL-E Generate images from texts pip install rudalle==1.1.0rc0 🤗 HF Models: ruDALL-E Malevich (XL) ruDALL-E Emojich (XL) (readme here) ruDALL-E S

AI Forever 1.6k Dec 31, 2022
Angular & Electron desktop UI framework. Angular components for native looking and behaving macOS desktop UI (Electron/Web)

Angular Desktop UI This is a collection for native desktop like user interface components in Angular, especially useful for Electron apps. It starts w

Marc J. Schmidt 49 Dec 22, 2022