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@@ -26,59 +26,72 @@ This analytic is designed to detect IAM users attempting to update/modify AWS la
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- **Type**: [Hunting](https://github.com/splunk/security_content/wiki/Detection-Analytic-Types)
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- **Product**: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
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- **Last Updated**: 2022-02-24
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- **Author**: Bhavin Patel, Splunk
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- **ID**: 211b80d3-6340-4345-11ad-212bf3d0d111
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#### Metadata
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#### Annotations
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<details>
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<summary>ATT&CK</summary>
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<div markdown="1">
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| ID | Technique | Tactic |
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| -------------- | ---------------- |-------------------- |
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| [T1204](https://attack.mitre.org/techniques/T1204/) | User Execution | Execution |
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</div>
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</details>
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<details>
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<summary>Kill Chain Phase</summary>
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<div markdown="1">
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* Actions on Objectives
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</div>
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</details>
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<details>
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<summary>NIST</summary>
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<div markdown="1">
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* PR.DS
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* PR.AC
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* DE.CM
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</div>
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</details>
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<details>
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<summary>CIS20</summary>
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<div markdown="1">
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* CIS 13
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</div>
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</details>
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<details>
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<summary>CVE</summary>
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<div markdown="1">
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</div>
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</details>
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#### Search
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@@ -93,7 +106,7 @@ This analytic is designed to detect IAM users attempting to update/modify AWS la
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The SPL above uses the following Macros:
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* [cloudtrail](https://github.com/splunk/security_content/blob/develop/macros/cloudtrail.yml)
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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.
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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.
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#### Required field
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* _time
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@@ -129,7 +142,7 @@ While this search has no known false positives, it is possible that an AWS admin
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#### Test Dataset
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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).
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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).
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Alternatively you can replay a dataset into a [Splunk Attack Range](https://github.com/splunk/attack_range#replay-dumps-into-attack-range-splunk-server)
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