1Password EPM
Overview
1Password's Enterprise Password Manager offers robust security features for businesses, enabling secure sharing and management of passwords and sensitive data across teams, with advanced admin controls and seamless integration into existing workflows.
Warning
Important note - This format is currently in beta. We highly value your feedback to improve its performance.
-
Supported environment: SaaS
-
Detection based on: Telemetry, Audit
- Supported application or feature:
- Audit Events
- Item Usages
- Sign-in Attempts
Related Built-in Rules
The following Sekoia.io built-in rules match the intake 1Password EPM [BETA]. 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 1Password EPM [BETA] 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
Remote Access Tool Domain
Detects traffic toward a domain flagged as a Remote Administration Tool (RAT).
- 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 |
---|---|
Authentication logs |
None |
In details, the following table denotes the type of events produced by this integration.
Name | Values |
---|---|
Kind | `` |
Category | authentication , configuration , session |
Type | change , info , start |
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": "{\"sekoia_event_type\": \"auditevents\", \"uuid\": \"56YE2TYN2VFYRLNSHKPW5NVT5E\", \"timestamp\": \"2023-03-15T16:33:50-03:00\", \"actor_uuid\": \"4HCGRGYCTRQFBMGVEGTABYDU2V\", \"actor_details\": {\"uuid\": \"4HCGRGYCTRQFBMGVEGTABYDU2V\", \"name\": \"Jane Doe\", \"email\": \"jane.doe@example.com\"}, \"action\": \"join\", \"object_type\": \"gm\", \"object_uuid\": \"pf8soyakgngrphytsyjed4ae3u\", \"aux_id\": 9277034, \"aux_uuid\": \"K6VFYDCJKHGGDI7QFAXX65LCDY\", \"aux_details\": {\"uuid\": \"K6VFYDCJKHGGDI7QFAXX65LCDY\", \"name\": \"John Doe\", \"email\": \"john.doe@example.com\"}, \"aux_info\": \"R\", \"session\": {\"uuid\": \"A5K6COGVRVEJXJW3XQZGS7VAMM\", \"login_time\": \"2023-03-15T16:33:50-03:00\", \"device_uuid\": \"lc5fqgbrcm4plajd8mwncv2b3u\", \"ip\": \"1.2.3.4\"}, \"location\": {\"country\": \"Canada\", \"region\": \"Ontario\", \"city\": \"Toronto\", \"latitude\": 43.5991, \"longitude\": -79.4988}}",
"event": {
"action": "join",
"category": [
"configuration"
],
"dataset": "auditevents",
"outcome": "failure",
"type": [
"change"
]
},
"1password": {
"object": {
"type": "gm",
"uuid": "pf8soyakgngrphytsyjed4ae3u"
},
"session_uuid": "A5K6COGVRVEJXJW3XQZGS7VAMM"
},
"@timestamp": "2023-03-15T19:33:50Z",
"client": {
"address": "1.2.3.4",
"geo": {
"city_name": "Toronto",
"country_name": "Canada",
"location": {
"lat": 43.5991,
"lon": -79.4988
},
"region_name": "Ontario"
},
"ip": "1.2.3.4"
},
"host": {
"id": "lc5fqgbrcm4plajd8mwncv2b3u"
},
"observer": {
"product": "1Password EPM",
"vendor": "Agilebits"
},
"related": {
"ip": [
"1.2.3.4"
],
"user": [
"Jane Doe"
]
},
"user": {
"email": "jane.doe@example.com",
"id": "4HCGRGYCTRQFBMGVEGTABYDU2V",
"name": "Jane Doe",
"target": {
"email": "john.doe@example.com",
"id": "K6VFYDCJKHGGDI7QFAXX65LCDY",
"name": "John Doe"
}
}
}
{
"message": "{\"sekoia_event_type\": \"itemusages\", \"uuid\": \"56YE2TYN2VFYRLNSHKPW5NVT5E\", \"timestamp\": \"2023-03-15T16:33:50-03:00\", \"used_version\": 0, \"vault_uuid\": \"VZSYVT2LGHTBWBQGUJAIZVRABM\", \"item_uuid\": \"SDGD3I4AJYO6RMHRK8DYVNFIDZ\", \"user\": {\"uuid\": \"4HCGRGYCTRQFBMGVEGTABYDU2V\", \"name\": \"John Doe\", \"email\": \"john.doe@example.com\"}, \"client\": {\"app_name\": \"1Password Browser\", \"app_version\": \"20240\", \"platform_name\": \"Chrome\", \"platform_version\": \"string\", \"os_name\": \"MacOSX\", \"os_version\": \"13.2\", \"ip_address\": \"1.2.3.4\"}, \"location\": {\"country\": \"Canada\", \"region\": \"Ontario\", \"city\": \"Toronto\", \"latitude\": 43.5991, \"longitude\": -79.4988}, \"action\": \"secure-copy\"}",
"event": {
"action": "secure-copy",
"category": [
"session"
],
"dataset": "itemusages",
"outcome": "failure",
"type": [
"info"
]
},
"1password": {
"item_uuid": "SDGD3I4AJYO6RMHRK8DYVNFIDZ",
"vault_uuid": "VZSYVT2LGHTBWBQGUJAIZVRABM"
},
"@timestamp": "2023-03-15T19:33:50Z",
"client": {
"address": "1.2.3.4",
"geo": {
"city_name": "Toronto",
"country_name": "Canada",
"location": {
"lat": 43.5991,
"lon": -79.4988
},
"region_name": "Ontario"
},
"ip": "1.2.3.4"
},
"host": {
"os": {
"name": "MacOSX",
"version": "13.2"
}
},
"observer": {
"product": "1Password EPM",
"vendor": "Agilebits"
},
"related": {
"ip": [
"1.2.3.4"
],
"user": [
"John Doe"
]
},
"user": {
"email": "john.doe@example.com",
"id": "4HCGRGYCTRQFBMGVEGTABYDU2V",
"name": "John Doe"
}
}
{
"message": "{\"sekoia_event_type\": \"signinattempts\", \"uuid\": \"56YE2TYN2VFYRLNSHKPW5NVT5E\", \"session_uuid\": \"A5K6COGVRVEJXJW3XQZGS7VAMM\", \"timestamp\": \"2023-03-15T16:32:50-03:00\", \"category\": \"firewall_failed\", \"type\": \"continent_blocked\", \"country\": \"France\", \"details\": {\"value\": \"Europe\"}, \"target_user\": {\"uuid\": \"IR7VJHJ36JHINBFAD7V2T5MP3E\", \"name\": \"John Doe\", \"email\": \"john.doe@example.com\"}, \"client\": {\"app_name\": \"1Password Browser\", \"app_version\": \"20240\", \"platform_name\": \"Chrome\", \"platform_version\": \"string\", \"os_name\": \"MacOSX\", \"os_version\": \"13.2\", \"ip_address\": \"1.2.3.4\"}, \"location\": {\"country\": \"Canada\", \"region\": \"Ontario\", \"city\": \"Toronto\", \"latitude\": 43.5991, \"longitude\": -79.4988}}",
"event": {
"category": [
"authentication"
],
"dataset": "signinattempts",
"outcome": "failure",
"type": [
"start"
]
},
"1password": {
"category": "firewall_failed",
"session_uuid": "A5K6COGVRVEJXJW3XQZGS7VAMM",
"type": "continent_blocked"
},
"@timestamp": "2023-03-15T19:32:50Z",
"client": {
"address": "1.2.3.4",
"geo": {
"city_name": "Toronto",
"country_name": "Canada",
"location": {
"lat": 43.5991,
"lon": -79.4988
},
"region_name": "Ontario"
},
"ip": "1.2.3.4"
},
"host": {
"os": {
"name": "MacOSX",
"version": "13.2"
}
},
"observer": {
"product": "1Password EPM",
"vendor": "Agilebits"
},
"related": {
"ip": [
"1.2.3.4"
]
},
"user": {
"target": {
"email": "john.doe@example.com",
"id": "IR7VJHJ36JHINBFAD7V2T5MP3E",
"name": "John Doe"
}
}
}
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 |
---|---|---|
1password.category |
keyword |
|
1password.item_uuid |
keyword |
|
1password.object.email |
keyword |
|
1password.object.name |
keyword |
|
1password.object.type |
keyword |
|
1password.object.uuid |
keyword |
|
1password.session_uuid |
keyword |
|
1password.type |
keyword |
|
1password.vault_uuid |
keyword |
|
@timestamp |
date |
Date/time when the event originated. |
client.geo.city_name |
keyword |
City name. |
client.geo.country_name |
keyword |
Country name. |
client.geo.region_name |
keyword |
Region name. |
client.ip |
ip |
IP address of the client. |
event.action |
keyword |
The action captured by the event. |
event.category |
keyword |
Event category. The second categorization field in the hierarchy. |
event.dataset |
keyword |
Name of the dataset. |
event.outcome |
keyword |
The outcome of the event. The lowest level categorization field in the hierarchy. |
event.type |
keyword |
Event type. The third categorization field in the hierarchy. |
host.id |
keyword |
Unique host id. |
host.os.name |
keyword |
Operating system name, without the version. |
host.os.version |
keyword |
Operating system version as a raw string. |
observer.product |
keyword |
The product name of the observer. |
observer.vendor |
keyword |
Vendor name of the observer. |
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.target.email |
keyword |
User email address. |
user.target.id |
keyword |
Unique identifier of the user. |
user.target.name |
keyword |
Short name or login of the user. |
For more information on the Intake Format, please find the code of the Parser, Smart Descriptions, and Supported Events here.
Configure
How to create an API token
- Log in the 1Password console
-
On the right panel, click
Integrations
-
In the Events Reporting, Click the
Other
-
Type a name for the Integration and click
Add Integration
-
Type a name for the token, select the expiration period
- Select
Audit events
,Item usage events
andSign-in attempts
as events to report -
Click
Issue token
Create your intake
Go to your Sekoia.io Intakes page, and follow these steps:
- Click on + Intake button to create a new one
- Choose 1Password EPM, give it a name and choose the relevant Entity
- Click on Create button
- Copy the Intake key
Note
Save the Intake key
on a block note. It will be used in the next step.
Pull the logs to collect them on Sekoia.io
Go to the Sekoia.io playbook page, and follow these steps:
- Click on + PLAYBOOK button to create a new one
- Select Use a template
- Search for
1Password
keyword on the search bar and select the template namedFetch new events from 1Password EPM
- Create a Module configuration using
- API token from
How to create an API token
step. -
Base URL depending by the server that hosts your 1Password account:
If your account is on: Your base URL is: 1Password.com https://events.1password.com (1Password Business)
https://events.ent.1password.com (1Password Enterprise)1Password.ca https://events.1password.ca 1Password.eu https://events.1password.eu Name the module configuration as you wish
-
Create a Trigger configuration using
Intake key
created on the previous step - Click on the Save button
- Toggle Activate the playbook on the top right corner of the page