# Default usernames and passwords

The following table summarizes the default username/passwords for CLI, Web UI, and IPMI/iDRAC access.

{% hint style="info" %}
As of v9.8 software version, users other than the default `vectra` user can be given the permission to login to the CLI of your Vectra appliances. Please see details in [SSH login process for CLI](/deployment/appliance-operations/ssh-login-process-for-cli.md).
{% endhint %}

{% hint style="info" %}
IPMI/iDRAC login is still limited to only the `vectra` user as of v9.8.
{% endhint %}

|                |                                                            |                                                           |                                                            |
| -------------- | ---------------------------------------------------------- | --------------------------------------------------------- | ---------------------------------------------------------- |
| Vectra Version | Command Line Interface                                     | Web UI                                                    | IPMI/iDrac¹                                                |
| 5.4 and later  | <p>Username: vectra</p><p>Password: changethispassword</p> | <p>Username: admin</p><p>Password: changethispassword</p> | <p>Username: vectra</p><p>Password: changethispassword</p> |

Note 1: IPMI and iDrac access levels vary by platform according to platform capabilities and security hardening requirements. Dell iDrac access is available on X29 platforms with a serial number starting U22. iDrac access gives basic platform monitoring and operational support capabilities over an IPMI compatible interface.

Note 2: IPMI support formally arrived in the 5.4 release. The IPMI and iDrac passwords varied by platform and version prior to the 5.4 release. If you require IPMI access to a system running a version prior to this release please contact Vectra Support for assistance.

Note 3: vSensor images will have Sensor password from the Brain built-in, if this option is configured.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.vectra.ai/deployment/getting-started/default-usernames-and-passwords.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.