> 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/uncommon-applescript-designed-to-access-sensitive-application-data-was-executed-via-the-command-line.md).

# Uncommon AppleScript designed to access sensitive application data was executed via the command line

### Synopsis

| Field                | Value                                                                                      |
| -------------------- | ------------------------------------------------------------------------------------------ |
| Activation Period    | 14 Days                                                                                    |
| Training Period      | 30 Days                                                                                    |
| Test Period          | N/A (single event)                                                                         |
| Deduplication Period | 1 Day                                                                                      |
| Required Data        | XDR Agent                                                                                  |
| Detector Tags        | AppleScript Analytics, Sensitive Information Stealing Analytics                            |
| ATT\&CK Tactic       | Execution (TA0002), Collection (TA0009)                                                    |
| ATT\&CK Technique    | Command and Scripting Interpreter: AppleScript (T1059.002), Data from Local System (T1005) |
| Severity             | High                                                                                       |

### Description

The AppleScript interpreter was executed with a script designed to access sensitive application data such as Telegram messages, Apple Notes, or cached data.

### Attacker's Goals

Access sensitive application data such as messaging history and notes for intelligence gathering or data exfiltration.

### Investigative actions

* Identify which sensitive application data was targeted (Telegram, Apple Notes, cached data, etc.).
* Check if application databases or message stores were copied or exfiltrated.
* Verify the legitimacy of the data access attempt and whether it aligns with the user's normal activity.
* Examine child processes for signs of data exfiltration.


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