Pentera
Automate remediation actions based on Pentera, the Automated Security Validation Platform, proactively exposing high-risk vulnerabilities.
Data Enrichment & Threat Intelligence · Pentera
Details
| ID | Pentera |
|---|---|
| Provider | Pentera |
| Category | Data Enrichment & Threat Intelligence |
| From Version | 5.0.0 |
| Docker Image | demisto/auth-utils:1.0.0.3562326 |
| Supported Modules | Agentix XSIAM |
README
Overview
Integration with Pentera.
This integration was integrated and tested with version 4.5.2 of Pentera
Pentera Playbook
Use Cases
Integration Use Cases:
- Integrate PenTera’s Automated Penetration Testing findings within Cortex XSOAR for playbook-driven enrichment and response
- Address penetration testing findings, prioritize, and automate response tasks
- Leverage Cortex XSOAR’s third-party product integrations
Use Case #1: Automate Dynamic Vulnerability Alerts - Password Policy
Challenge: Password policies are a continuous undertaking that organizations need to review regularly.
Solution: With the Cortex XSOAR-PenTera integration, PenTera can continuously validate the effectiveness of enterprise passwords and take action on easily crackable passwords with focus on high privileged accounts. Once PenTera flags a password that doesn’t meet the standard, automated playbooks through Cortex XSOAR take action and remediate the vulnerability based on corporate policy.
Use Case #2: Automated real-time validation for critical vulnerabilities
Challenge: Continuous security validation is critical for the ongoing cyber hygiene of an organization’s network. However, critical vulnerabilities require on-demand testing as they influence many components of the network. Security teams struggle with prioritizing remediation and understanding the true impact vulnerabilities have on their specific network.
Solution: After running automated single-action tests for critical vulnerabilities, the Cortex XSOAR integration allows security teams to automate the response process based on the findings. For example, PenTera discovers the vulnerability of different components of the network, e.g a server or an endpoint. The latter is a simpler fix that should go through one workflow, perhaps even be automatically remediated, while the first, a much more complex process, will create a high-risk task in the relevant workflow, automatically prioritizing the response tasks based on business impact severity.
Configure Pentera on Cortex XSOAR
- Navigate to Settings > Integrations > Servers & Services.
- Search for Pentera.
- Click Add instance to create and configure a new integration instance.
- Name: a textual name for the integration instance.
- Server URL (e.g. https://192.168.64.128)
- Pentera API port
- TGT (The token from Pentera UI in Administration -> API Clients)
- Client Id
- Trust any certificate (not secure)
- Use system proxy settings
- Click Test to validate the URLs, token, and connection.
Commands
You can execute these commands from the Cortex XSOAR CLI, as part of an automation, or in a playbook.
After you successfully execute a command, a DBot message appears in the War Room with the command details.
- pentera-run-template-by-name
- pentera-get-task-run-status
- pentera-get-task-run-full-action-report
1. pentera-run-template-by-name
Run a specific template by its name. Please add the template name in the parameters
Required Permissions
Operator and admin users
Base Command
pentera-run-template-by-name
Input
| Argument Name | Description | Required |
|---|---|---|
| template_name | The name of the template that you want to run | Required |
Context Output
| Path | Type | Description |
|---|---|---|
| Pentera.TaskRun.TemplateName | String | Returns the name of the template |
| Pentera.TaskRun.ID | String | The task run id |
| Pentera.TaskRun.StartTime | Date | The date when the task run started |
| Pentera.TaskRun.EndTime | Date | The date when the task run ended |
| Pentera.TaskRun.Status | String | The status of the task run; e.g.: ‘Running’, ‘Pending’, ‘Failed’, ‘Cleaning up’, ‘Canceled’, ‘Done’, ‘Warning’, ‘Aborted (exceeded max hosts limit)’. |
Command Example
!pentera-run-template-by-name template_name="Test Template for Playbook"
Context Example
{
"Pentera.TaskRun": {
"Status": "Running",
"TemplateName": "Test Template for Playbook",
"StartTime": 2020-02-13T19:32:45Z,
"EndTime": null,
"ID": "5e45883d1deb8eda82b1eed5"
}
}
Human Readable Output
Test Template for Playbook
|ID|StartTime|Status|TemplateName|
|—|—|—|—|
| 2020-02-13 17:32:45Z | 5e45883d1deb8eda82b1eed5 | ‘2020-02-13T17:32:45Z’ | Running | Test Template for Playbook |
Integration log: Full Integration Log:
Got command: pentera-run-template-by-name
result is JSON
Parsed JSON Response: {‘ID’: ‘5e45883d1deb8eda82b1eed5’, ‘TemplateName’: ‘Test Template for Playbook’, ‘StartTime’: ‘2020-02-13T17:32:45Z’, ‘EndTime’: None, ‘Status’: ‘Running’}
Parsed JSON Response: {‘ID’: ‘5e45883d1deb8eda82b1eed5’, ‘TemplateName’: ‘Test Template for Playbook’, ‘StartTime’: ‘2020-02-13T17:32:45Z’, ‘EndTime’: None, ‘Status’: ‘Running’}
2. pentera-get-task-run-status
Get the status of a task run by its task run id
Required Permissions
Operator and admin users
Base Command
pentera-get-task-run-status
Input
| Argument Name | Description | Required |
|---|---|---|
| task_run_id | The ID of the task run | Required |
Context Output
| Path | Type | Description |
|---|---|---|
| Pentera.TaskRun.ID | String | The task run id |
| Pentera.TaskRun.TemplateName | String | Returns the name of the template |
| Pentera.TaskRun.StartTime | Date | The date when the task run started |
| Pentera.TaskRun.EndTime | Date | The date when the task run ended |
| Pentera.TaskRun.Status | String | The status of the task run; e.g.: ‘Running’, ‘Pending’, ‘Failed’, ‘Cleaning up’, ‘Canceled’, ‘Done’, ‘Warning’, ‘Aborted (exceeded max hosts limit)’. |
Command Example
```!pentera-get-task-run-status task_run_id=”5e4583221deb8eda82b195c5”
##### Context Example
{
“Pentera.TaskRun”: {
“Status”: “Done”,
“TemplateName”: “Test Template for Playbook”,
“StartTime”: “2020-02-13T17:10:58Z”,
“EndTime”: “2020-02-13T19:14:12Z”,
“ID”: “5e4583221deb8eda82b195c5”
}
}
##### Human Readable Output
### Test Template for Playbook
|EndTime|ID|StartTime|Status|TemplateName|
|---|---|---|---|---|
| 2020-02-13 17:10:58Z | 1581614052321.0 | 5e4583221deb8eda82b195c5 | 1581613858961.0 | Done | Test Template for Playbook |
Integration log: Full Integration Log:
Got command: pentera-get-task-run-status
result is JSON
Parsed JSON Response: {'ID': '5e4583221deb8eda82b195c5', 'TemplateName': 'Test Template for Playbook', 'StartTime': '2020-02-13T17:10:58Z', 'EndTime': '2020-02-13T19:14:12Z', 'Status': 'Done'}
### 3. pentera-get-task-run-full-action-report
Get the full action report of a task run
###### Fieldnames: 'Severity', 'Time', 'Duration', 'Operation Type', 'Techniques', 'Parameters', 'Status'
#### Severity
* Low: [0: 2.5)
* Medium: [2.5: 5)
* High: [5: 7.5)
* Critical: [7.5: 10]
#### Duration
In milliseconds
#### Status
'Running', 'Pending', 'Failed', 'Cleaning up', 'Canceled', 'Done', 'Warning', 'Aborted (exceeded max hosts limit)'.
##### Required Permissions
User view, operator and admin users
##### Base Command
`pentera-get-task-run-full-action-report`
##### Input
| __Argument Name__ | __Description__ | __Required__ |
| --- | --- | --- |
| task_run_id | The ID of the task run | Required |
##### Context Output
| __Path__ | __Type__ | __Description__ |
| --- | --- | --- |
| Pentera.TaskRun.ID | String | The task run id |
| Pentera.TaskRun.TemplateName | String | Returns the name of the template |
| Pentera.TaskRun.StartTime | Date | The date when the task run started |
| Pentera.TaskRun.EndTime | Date | The date when the task run ended |
| Pentera.TaskRun.Status | String | The status of the task run; e.g.: 'Running', 'Pending', 'Failed', 'Cleaning up', 'Canceled', 'Done', 'Warning', 'Aborted (exceeded max hosts limit)'. |
| Pentera.TaskRun.FullActionReport | String | The full action report of the task run |
##### Command Example
```!pentera-get-task-run-full-action-report task_run_id="5e4583221deb8eda82b195c5"
Context Example
{
"Pentera.TaskRun": {
"FullActionReport": [
{
"Status": "no results",
"Severity": "",
"Parameters": "Host: 192.168.1.2",
"Time": "13/02/2020, 17:11:59",
"Duration": "31578",
"Operation Type": "BlueKeep (CVE-2019-0708) Vulnerability Discovery",
"Techniques": "Network Service Scanning(T1046)"
},
{
"Status": "no results",
"Severity": "",
"Parameters": "Host: 192.168.1.1",
"Time": "13/02/2020, 17:12:01",
"Duration": "31618",
"Operation Type": "BlueKeep (CVE-2019-0708) Vulnerability Discovery",
"Techniques": "Network Service Scanning(T1046)"
}
],
"ID": "5e4583221deb8eda82b195c5"
}
}
Human Readable Output
Pentera Report for TaskRun ID
|Agent Name|Categories|Duration|Operation Type|Parameters|Severity|Status|Techniques|Time|
|—|—|—|—|—|—|—|—|—|
| default-node | Discovery, Reconnaissance | 31578 | BlueKeep (CVE-2019-0708) Vulnerability Discovery | Host: 192.168.1.2 | | no results | Network Service Scanning(T1046) | 13/02/2020, 17:11:59 |
| default-node | Discovery, Reconnaissance | 31618 | BlueKeep (CVE-2019-0708) Vulnerability Discovery | Host: 192.168.1.1 | | no results | Network Service Scanning(T1046) | 13/02/2020, 17:12:01 |
Integration log: Full Integration Log:
Got command: pentera-get-task-run-full-action-report
result is TEXT
Configuration parameters
url— Server URL (e.g. https://192.168.64.128) (required)port— Pentera API port (required)clientId— Client Id (required)tgt— TGT (The token from Pentera UI in Administration -> API Clients) (required)insecure— Trust any certificate (not secure)proxy— Use system proxy settings
Commands (3)
-
pentera-get-task-run-full-action-reportGet the full action report of a task run.
-
pentera-get-task-run-statusGet the status of a task run by its task run id.
-
pentera-run-template-by-nameRun a specific template by its name. Please add the template name in the parameters.
## Pentera Integration ### Create A Client A client is Pentera's embodiment of the end-user's API client. It is the logical entity which holds authentication tokens, the tokens expiration dates, and the connection between the client and the user entities in the system. In order to use the API, a user must first create a client in the UI. ##### Steps to create a client: 1. Login to the Pentera UI. 2. Go to Administration → API Clients. 3. Create a new client: 1. Enter a name for the client (something meaningful to the user). 2. Optional: Enter a description for the client. 3. Create the client. You'll see the client appears in the client's table on the same page. 4. Issue a TGT token for the new client by pressing the Issue TGT button in the client's row in the table. 5. Copy the new TGT. You can click on the TGT field and a popup will appear with a "copy" button which will copy the entire TGT when clicked. 6. You're now ready to authenticate with the API, passing in both the Client ID and the TGT.