> 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/aws-ssm-parameters-discovery.md).

# AWS SSM parameters discovery

### Synopsis

| Field                | Value                                                                                                          |
| -------------------- | -------------------------------------------------------------------------------------------------------------- |
| Activation Period    | 14 Days                                                                                                        |
| Training Period      | 30 Days                                                                                                        |
| Test Period          | N/A (single event)                                                                                             |
| Deduplication Period | 5 Days                                                                                                         |
| Required Data        | AWS Audit Log                                                                                                  |
| Detection Modules    | Cloud                                                                                                          |
| ATT\&CK Tactic       | Credential Access (TA0006), Discovery (TA0007)                                                                 |
| ATT\&CK Technique    | Credentials from Password Stores: Cloud Secrets Management Stores (T1555.006), Cloud Service Discovery (T1526) |
| Severity             | Informational                                                                                                  |

### Description

An attempt was made to list parameters stored in AWS SSM.

### Attacker's Goals

Exfiltrate sensitive secrets stored in SSM parameter store.

### Investigative actions

* Check if the secrets manager activity aligns with known workflows or automation, or if it indicates abnormal activity.
* Follow further actions done by the identity.

### Variations

<details>

<summary>Unusual AWS SSM parameters discovery</summary>

**Synopsis**

| Field             | Value                                                                                                          |
| ----------------- | -------------------------------------------------------------------------------------------------------------- |
| ATT\&CK Tactic    | Credential Access (TA0006), Discovery (TA0007)                                                                 |
| ATT\&CK Technique | Credentials from Password Stores: Cloud Secrets Management Stores (T1555.006), Cloud Service Discovery (T1526) |
| Severity          | Informational                                                                                                  |

**Description**

An attempt was made to list parameters stored in AWS SSM.

**Attacker's Goals**

Exfiltrate sensitive secrets stored in SSM parameter store.

**Investigative actions**

* Check if the secrets manager activity aligns with known workflows or automation, or if it indicates abnormal activity.
* Follow further actions done by the identity.

</details>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://cortex-docs.paloaltonetworks.com/analytics-alerts/alerts-by-name/aws-ssm-parameters-discovery.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
