> For the complete documentation index, see [llms.txt](https://cortex-docs.paloaltonetworks.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cortex-docs.paloaltonetworks.com/analytics-alerts/alerts-by-name/suspicious-azure-ad-interactive-sign-in-using-powershell.md).

# Suspicious Azure AD interactive sign-in using PowerShell

### Synopsis

| Field                | Value                   |
| -------------------- | ----------------------- |
| Activation Period    | 14 Days                 |
| Training Period      | 30 Days                 |
| Test Period          | N/A (single event)      |
| Deduplication Period | 1 Day                   |
| Required Data        | AzureAD                 |
| Detection Modules    | Identity Analytics      |
| ATT\&CK Tactic       | Initial Access (TA0001) |
| ATT\&CK Technique    | Valid Accounts (T1078)  |
| Severity             | Informational           |

### Description

A user interactively logged in to Azure AD via PowerShell.

### Attacker's Goals

The attacker attempts to gain access to the organization's resources.

### Investigative actions

* Analyze the actions taken by the user during the session and verify that this is a legitimate session.
* Look for signs that the user account is compromised (e.g. abnormal logins, unusual activity).

### Variations

<details>

<summary>Unusual Azure AD interactive sign-in using PowerShell</summary>

**Synopsis**

| Field             | Value                   |
| ----------------- | ----------------------- |
| ATT\&CK Tactic    | Initial Access (TA0001) |
| ATT\&CK Technique | Valid Accounts (T1078)  |
| Severity          | Low                     |

**Description**

A user interactively logged in to Azure AD via PowerShell from an unusual geolocation or ASN.

**Attacker's Goals**

The attacker attempts to gain access to the organization's resources.

**Investigative actions**

* Analyze the actions taken by the user during the session and verify that this is a legitimate session.
* Look for signs that the user account is compromised (e.g. abnormal logins, unusual activity).

</details>


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