[New Rule] AWS Backup Recovery Point Lifecycle Modified

[bryans3c]

Pull Request

Issue link(s):

• https://github.com/elastic/ia-trade-team/issues/920

Summary - What I changed

Add detection of an AWS Backup recovery point lifecycle via UpdateRecoveryPointLifecycle. The lifecycle controls when a recovery point transitions to cold storage and when it is deleted. Shortening the retention causes recovery points to expire and be deleted automatically, achieving the same anti-recovery outcome as an explicit deletion but in a stealthier, delayed manner that can bypass detections focused on DeleteRecoveryPoint. Adversaries may shorten lifecycle retention to quietly destroy backups. These changes are infrequent and should align with approved retention management.

How To Test

Query & data can be assessed in TRADE stack and other telemetry stacks.

Checklist

• Added a label for the type of pr: bug, enhancement, schema, maintenance, Rule: New, Rule: Deprecation, Rule: Tuning, Hunt: New, or Hunt: Tuning so guidelines can be generated
• Added the meta:rapid-merge label if planning to merge within 24 hours
• Secret and sensitive material has been managed correctly
• Automated testing was updated or added to match the most common scenarios
• Documentation and comments were added for features that require explanation

Contributor checklist

• Have you signed the contributor license agreement?
• Have you followed the contributor guidelines?

[github-actions]

Rule: New - Guidelines

These guidelines serve as a reminder set of considerations when proposing a new rule.

Documentation and Context

• Detailed description of the rule.
• List any new fields required in ECS/data sources.
• Link related issues or PRs.
• Include references.

Rule Metadata Checks

• creation_date matches the date of creation PR initially merged.
• min_stack_version should support the widest stack versions.
• name and description should be descriptive and not include typos.
• query should be inclusive, not overly exclusive, considering performance for diverse environments. Non ecs fields should be added to non-ecs-schema.json if not available in an integration.
• min_stack_comments and min_stack_version should be included if the rule is only compatible starting from a specific stack version.
• index pattern should be neither too specific nor too vague, ensuring it accurately matches the relevant data stream (e.g., use logs-endpoint.process-* for process data).
• integration should align with the index. If the integration is newly introduced, ensure the manifest, schemas, and new_rule.yaml template are updated.
• setup should include the necessary steps to configure the integration.
• note should include any additional information (e.g. Triage and analysis investigation guides, timeline templates).
• tags should be relevant to the threat and align/added to the EXPECTED_RULE_TAGS in the definitions.py file.
• threat, techniques, and subtechniques should map to ATT&CK always if possible.

New BBR Rules

• building_block_type should be included if the rule is a building block and the rule should be located in the rules_building_block folder.
• bypass_bbr_timing should be included if adding custom lookback timing to the rule.

Testing and Validation

• Provide evidence of testing and detecting the expected threat.
• Check for existence of coverage to prevent duplication.

[Copilot]

Pull request overview

Adds a new AWS CloudTrail-based detection rule to identify successful UpdateRecoveryPointLifecycle activity in AWS Backup, which can be used to shorten recovery point retention as an anti-recovery technique.

Changes:

• Introduces a new production rule for AWS Backup recovery point lifecycle modification events.
• Includes an investigation guide, false-positive guidance, and MITRE ATT&CK mapping (TA0040 / T1490).
• Adds a KQL (kuery) query scoped to CloudTrail events from backup.amazonaws.com.

[Copilot]

Pull request overview

Copilot reviewed 1 out of 1 changed files in this pull request and generated 3 comments.

[eric-forte-elastic]

Logic and telemetry review. LGTM 👍