working on index changes

This commit is contained in:
d1vious
2022-03-31 16:34:34 -04:00
parent 877c9c1eba
commit e73be860df
839 changed files with 15120 additions and 4262 deletions
@@ -26,59 +26,72 @@ This analytic is designed to detect IAM users attempting to update/modify AWS la
- **Type**: [Hunting](https://github.com/splunk/security_content/wiki/Detection-Analytic-Types)
- **Product**: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
- **Last Updated**: 2022-02-24
- **Author**: Bhavin Patel, Splunk
- **ID**: 211b80d3-6340-4345-11ad-212bf3d0d111
#### Metadata
#### Annotations
<details>
<summary>ATT&CK</summary>
<div markdown="1">
| ID | Technique | Tactic |
| -------------- | ---------------- |-------------------- |
| [T1204](https://attack.mitre.org/techniques/T1204/) | User Execution | Execution |
</div>
</details>
<details>
<summary>Kill Chain Phase</summary>
<div markdown="1">
* Actions on Objectives
</div>
</details>
<details>
<summary>NIST</summary>
<div markdown="1">
* PR.DS
* PR.AC
* DE.CM
</div>
</details>
<details>
<summary>CIS20</summary>
<div markdown="1">
* CIS 13
</div>
</details>
<details>
<summary>CVE</summary>
<div markdown="1">
</div>
</details>
#### Search
@@ -93,7 +106,7 @@ This analytic is designed to detect IAM users attempting to update/modify AWS la
The SPL above uses the following Macros:
* [cloudtrail](https://github.com/splunk/security_content/blob/develop/macros/cloudtrail.yml)
Note that `aws_lambda_updatefunctioncode_filter` is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
Note that **aws_lambda_updatefunctioncode_filter** is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.
#### Required field
* _time
@@ -129,7 +142,7 @@ While this search has no known false positives, it is possible that an AWS admin
#### Test Dataset
Replay any dataset to Splunk Enterprise by using our [`replay.py`](https://github.com/splunk/attack_data#using-replaypy) tool or the [UI](https://github.com/splunk/attack_data#using-ui).
Replay any dataset to Splunk Enterprise by using our [replay.py](https://github.com/splunk/attack_data#using-replaypy) tool or the [UI](https://github.com/splunk/attack_data#using-ui).
Alternatively you can replay a dataset into a [Splunk Attack Range](https://github.com/splunk/attack_range#replay-dumps-into-attack-range-splunk-server)