Github Audit Logs
Overview
- Vendor: Microsoft
- Supported environment: SaaS
- Detection based on: Audit
- Supported application or feature: Application Logs
Github audit logs represents activities on your Github organization.
This setup guide describes how to forward audit logs from Github to Sekoia.io.
Configure
Prerequisites
- Your organization must use GitHub Entreprise Cloud to get access to audit log API
- You must be Administrator of the organization. There are two options on how to configure connector:
Creating the Github API key
To create an API key on Github:
-
On the top right corner, click on your profile picture then on
Settings
. -
On the Developper Settings, create a Personnal access token (classic) with read access to the audit_logs.
-
Validate the configuration and save the token for the configuration of the connector.
Create the Github PEM file
-
On the top right corner, click on your profile picture then on
Your organizations
. -
Select organization you want to create PEM file for:
-
Scroll to
Developer settings
and selectGithub apps
: -
Click on edit
Github app
:- Make sure you have all necessary rights (#1)
- After that click on edit (#2)
-
Go to
General
section: -
Scroll to
Private keys
section and click onGenerate a private key
: -
Follow all necessary instructions and save PEM file for the configuration of the connector.
-
Scroll up and copy
App ID
for the configuration of the connector. -
As a result you should have
App ID
andPEM file
for the configuration of the connector.
Create the intake in Sekoia.io
- Go to the intake page and create a new intake from the format
Github audit logs
. - Edit the intake configuration with the Github organization and the APIkey.
Raw Events Samples
In this section, you will find examples of raw logs as generated natively by the source. These examples are provided to help integrators understand the data format before ingestion into Sekoia.io. It is crucial for setting up the correct parsing stages and ensuring that all relevant information is captured.
{
"@timestamp": 1685465626150,
"_document_id": "ioehzret57biefb87",
"action": "org.block_user",
"actor": "Admin",
"actor_id": 6493123,
"actor_location": {
"country_code": "FR"
},
"blocked_user": "aaa",
"created_at": 1685465626150,
"operation_type": "create",
"org": "Test-org",
"org_id": 123123995,
"user_agent": "Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36"
}
{
"@timestamp": 1686150683340,
"_document_id": "w-eifejgjg877jjf",
"action": "org.allow_third_party_access_requests_from_outside_collaborators_disabled",
"actor": "Admin",
"actor_id": 6123123,
"actor_location": {
"country_code": "FR"
},
"created_at": 1686150683340,
"operation_type": "modify",
"org": "Test-org",
"org_id": 123123995,
"user_agent": "Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36"
}
{
"@timestamp": 1686150676330,
"_document_id": "s-ioehzret57biefb87",
"action": "members_can_create_public_pages.enable",
"actor": "Admin",
"actor_id": 6123123,
"actor_location": {
"country_code": "FR"
},
"created_at": 1686150676330,
"operation_type": "modify",
"org": "Test-org",
"org_id": 123123995,
"user": "Admin",
"user_agent": "Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36",
"user_id": 6123123
}
{
"@timestamp": 1686150672357,
"_document_id": "ioehzret57biefb87",
"action": "org.update_member_repository_invitation_permission",
"actor": "Admin",
"actor_id": 6123123,
"actor_location": {
"country_code": "FR"
},
"created_at": 1686150672357,
"operation_type": "modify",
"org": "Test-org",
"org_id": 123123995,
"permission": false,
"user_agent": "Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36"
}
Detection section
The following section provides information for those who wish to learn more about the detection capabilities enabled by collecting this intake. It includes details about the built-in rule catalog, event categories, and ECS fields extracted from raw events. This is essential for users aiming to create custom detection rules, perform hunting activities, or pivot in the events page.
Related Built-in Rules
The following Sekoia.io built-in rules match the intake Github Audit logs. This documentation is updated automatically and is based solely on the fields used by the intake which are checked against our rules. This means that some rules will be listed but might not be relevant with the intake.
SEKOIA.IO x Github Audit logs on ATT&CK Navigator
Cryptomining
Detection of domain names potentially related to cryptomining activities.
- Effort: master
Dynamic DNS Contacted
Detect communication with dynamic dns domain. This kind of domain is often used by attackers. This rule can trigger false positive in non-controlled environment because dynamic dns is not always malicious.
- Effort: master
Exfiltration Domain
Detects traffic toward a domain flagged as a possible exfiltration vector.
- Effort: master
GitHub Delete Action
Detects a Delete/Destroy action in GitHub audit logs.
- Effort: advanced
GitHub Dependabot Or Vulnerability Alerts Disabled
Detects dependabot or vulnerability alerts being disabled. Dependabot performs a scan to detect insecure dependencies, and sends Dependabot alerts.
- Effort: advanced
GitHub High Risk Configuration Disabled
Detects a configuration being disabled in GitHub. It detects only configuration judged as highly risky if disabled. An organization should adapt this rule according to its environment.
- Effort: advanced
GitHub New Organization Member
Detects when a member is added or invited to a GitHub organization.
- Effort: advanced
GitHub Outside Collaborator Detected
Detects an outside collaborator being removed or having its permissions changed.
- Effort: advanced
Nimbo-C2 User Agent
Nimbo-C2 Uses an unusual User-Agent format in its implants.
- Effort: intermediate
Potential Bazar Loader User-Agents
Detects potential Bazar loader communications through the user-agent
- Effort: elementary
Potential Lemon Duck User-Agent
Detects LemonDuck user agent. The format used two sets of alphabetical characters separated by dashes, for example "User-Agent: Lemon-Duck-[A-Z]-[A-Z]".
- Effort: elementary
Remote Access Tool Domain
Detects traffic toward a domain flagged as a Remote Administration Tool (RAT).
- Effort: master
Remote Monitoring and Management Software - AnyDesk
Detect artifacts related to the installation or execution of the Remote Monitoring and Management tool AnyDesk.
- Effort: master
Sekoia.io EICAR Detection
Detects observables in Sekoia.io CTI tagged as EICAR, which are fake samples meant to test detection.
- Effort: master
TOR Usage Generic Rule
Detects TOR usage globally, whether the IP is a destination or source. TOR is short for The Onion Router, and it gets its name from how it works. TOR intercepts the network traffic from one or more apps on user’s computer, usually the user web browser, and shuffles it through a number of randomly-chosen computers before passing it on to its destination. This disguises user location, and makes it harder for servers to pick him/her out on repeat visits, or to tie together separate visits to different sites, this making tracking and surveillance more difficult. Before a network packet starts its journey, user’s computer chooses a random list of relays and repeatedly encrypts the data in multiple layers, like an onion. Each relay knows only enough to strip off the outermost layer of encryption, before passing what’s left on to the next relay in the list.
- Effort: master
Event Categories
The following table lists the data source offered by this integration.
Data Source | Description |
---|---|
Third-party application logs |
Github audit logs. |
In details, the following table denotes the type of events produced by this integration.
Name | Values |
---|---|
Kind | `` |
Category | configuration |
Type | allowed , change , creation , deletion , denied , info , user |
Transformed Events Samples after Ingestion
This section demonstrates how the raw logs will be transformed by our parsers. It shows the extracted fields that will be available for use in the built-in detection rules and hunting activities in the events page. Understanding these transformations is essential for analysts to create effective detection mechanisms with custom detection rules and to leverage the full potential of the collected data.
{
"message": "{\"@timestamp\": 1685465626150,\"_document_id\": \"ioehzret57biefb87\",\"action\": \"org.block_user\",\"actor\": \"Admin\",\"actor_id\": 6493123,\"actor_location\": {\"country_code\": \"FR\"},\"blocked_user\": \"aaa\",\"created_at\": 1685465626150,\"operation_type\": \"create\",\"org\": \"Test-org\",\"org_id\": 123123995,\"user_agent\": \"Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36\"}",
"event": {
"action": "org.block_user",
"category": [
"configuration"
],
"type": [
"change",
"creation",
"denied",
"info",
"user"
]
},
"@timestamp": "2023-05-30T16:53:46.150000Z",
"geo": {
"country_iso_code": "FR"
},
"github": {
"audit_logs": {
"_document_id": "ioehzret57biefb87",
"blocked_user": "aaa",
"operation_type": "create"
}
},
"organization": {
"id": "123123995",
"name": "Test-org"
},
"related": {
"user": [
"Admin"
]
},
"user": {
"id": "6493123",
"name": "Admin"
},
"user_agent": {
"device": {
"name": "Samsung SM-S906N"
},
"name": "Chrome Mobile WebView",
"original": "Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36",
"os": {
"name": "Android",
"version": "12"
},
"version": "80.0.3987"
}
}
{
"message": "{\"@timestamp\": 1686150683340,\"_document_id\": \"w-eifejgjg877jjf\",\"action\": \"org.allow_third_party_access_requests_from_outside_collaborators_disabled\",\"actor\": \"Admin\",\"actor_id\": 6123123,\"actor_location\": { \"country_code\": \"FR\"},\"created_at\": 1686150683340,\"operation_type\": \"modify\",\"org\": \"Test-org\",\"org_id\": 123123995,\"user_agent\": \"Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36\" }",
"event": {
"action": "org.allow_third_party_access_requests_from_outside_collaborators_disabled",
"category": [
"configuration"
],
"type": [
"change",
"info"
]
},
"@timestamp": "2023-06-07T15:11:23.340000Z",
"geo": {
"country_iso_code": "FR"
},
"github": {
"audit_logs": {
"_document_id": "w-eifejgjg877jjf",
"operation_type": "modify"
}
},
"organization": {
"id": "123123995",
"name": "Test-org"
},
"related": {
"user": [
"Admin"
]
},
"user": {
"id": "6123123",
"name": "Admin"
},
"user_agent": {
"device": {
"name": "Samsung SM-S906N"
},
"name": "Chrome Mobile WebView",
"original": "Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36",
"os": {
"name": "Android",
"version": "12"
},
"version": "80.0.3987"
}
}
{
"message": "{\"@timestamp\": 1686150676330,\"_document_id\": \"s-ioehzret57biefb87\",\"action\": \"members_can_create_public_pages.enable\",\"actor\": \"Admin\",\"actor_id\": 6123123,\"actor_location\": { \"country_code\": \"FR\"},\"created_at\": 1686150676330,\"operation_type\": \"modify\",\"org\": \"Test-org\",\"org_id\": 123123995,\"user\": \"Admin\",\"user_agent\": \"Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36\",\"user_id\": 6123123 }",
"event": {
"action": "members_can_create_public_pages.enable",
"category": [
"configuration"
],
"type": [
"change",
"info"
]
},
"@timestamp": "2023-06-07T15:11:16.330000Z",
"geo": {
"country_iso_code": "FR"
},
"github": {
"audit_logs": {
"_document_id": "s-ioehzret57biefb87",
"operation_type": "modify",
"user": "Admin",
"user_id": 6123123
}
},
"organization": {
"id": "123123995",
"name": "Test-org"
},
"related": {
"user": [
"Admin"
]
},
"user": {
"id": "6123123",
"name": "Admin"
},
"user_agent": {
"device": {
"name": "Samsung SM-S906N"
},
"name": "Chrome Mobile WebView",
"original": "Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36",
"os": {
"name": "Android",
"version": "12"
},
"version": "80.0.3987"
}
}
{
"message": "{\"@timestamp\": 1686150672357,\"_document_id\": \"ioehzret57biefb87\",\"action\": \"org.update_member_repository_invitation_permission\",\"actor\": \"Admin\",\"actor_id\": 6123123,\"actor_location\": { \"country_code\": \"FR\"},\"created_at\": 1686150672357,\"operation_type\": \"modify\",\"org\": \"Test-org\",\"org_id\": 123123995,\"permission\": false,\"user_agent\": \"Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36\" }",
"event": {
"action": "org.update_member_repository_invitation_permission",
"category": [
"configuration"
],
"type": [
"change",
"info"
]
},
"@timestamp": "2023-06-07T15:11:12.357000Z",
"geo": {
"country_iso_code": "FR"
},
"github": {
"audit_logs": {
"_document_id": "ioehzret57biefb87",
"operation_type": "modify",
"permission": "false"
}
},
"organization": {
"id": "123123995",
"name": "Test-org"
},
"related": {
"user": [
"Admin"
]
},
"user": {
"id": "6123123",
"name": "Admin"
},
"user_agent": {
"device": {
"name": "Samsung SM-S906N"
},
"name": "Chrome Mobile WebView",
"original": "Mozilla/5.0 (Linux; Android 12; SM-S906N Build/QP1A.190711.020; wv) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/80.0.3987.119 Mobile Safari/537.36",
"os": {
"name": "Android",
"version": "12"
},
"version": "80.0.3987"
}
}
Extracted Fields
The following table lists the fields that are extracted, normalized under the ECS format, analyzed and indexed by the parser. It should be noted that infered fields are not listed.
Name | Type | Description |
---|---|---|
@timestamp |
date |
Date/time when the event originated. |
event.action |
keyword |
The action captured by the event. |
event.category |
keyword |
Event category. The second categorization field in the hierarchy. |
event.type |
keyword |
Event type. The third categorization field in the hierarchy. |
geo.country_iso_code |
keyword |
Country ISO code. |
geo.country_name |
keyword |
Country name. |
organization.id |
keyword |
Unique identifier for the organization. |
organization.name |
keyword |
Organization name. |
user.email |
keyword |
User email address. |
user.id |
keyword |
Unique identifier of the user. |
user.name |
keyword |
Short name or login of the user. |
user_agent.original |
keyword |
Unparsed user_agent string. |
For more information on the Intake Format, please find the code of the Parser, Smart Descriptions, and Supported Events here.