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MITRE ATT&CK® Technique

T1485.001: Lifecycle-Triggered Deletion

Adversaries may modify the lifecycle policies of a cloud storage bucket to destroy all objects stored within.

Cloud storage buckets often allow users to set lifecycle policies to automate the migration, archival, or deletion of objects after a set period of time.[1][2][3] If a threat actor has sufficient permissions to modify these policies, they may be able to delete all objects at once.

For example, in AWS environments, an adversary with the `PutLifecycleConfiguration` permission may use the `PutBucketLifecycle` API call to apply a lifecycle policy to an S3 bucket that deletes all objects in the bucket after one day.[4][5] In addition to destroying data for purposes of extortion and Financial Theft, adversaries may also perform this action on buckets storing cloud logs for Indicator Removal.[6]

EnterpriseT1485.001Sub-techniqueObject v1.1Modified
Glexia's Take · Automated analysis

Security context for executives and security teams

Automation confidenceMedium

T1485.001: Lifecycle-Triggered Deletion describes Adversaries may modify the lifecycle policies of a cloud storage bucket to destroy all objects stored within. Cloud storage buckets often allow users to set lifecycle policies to automate the migration, archival, or deletion of objects after a set period of time.(Citation: AWS Storage Lifecycles)(Citation: GCP Storage Lifecycles)(Citation: Azure Storage Lifecycles) If a threat actor has sufficient permissions to modify these policies, they may be able to delete all objects at once. For example, in AWS environments,...

Executive priority

T1485.001: Lifecycle-Triggered Deletion is an official MITRE ATT&CK technique. Glexia treats it as defensive behavior context for prioritizing monitoring, control validation, and response planning without using the object by itself as an attribution claim.

Technical view

Security teams should validate T1485.001: Lifecycle-Triggered Deletion by reviewing the official ATT&CK relationships, mapped tactics (impact), supported platforms (IaaS), and available local telemetry before making detection or mitigation decisions.

Likely telemetry

  • Official ATT&CK relationships and object metadata
  • Cloud control-plane, SaaS audit, and container platform logs

Detection direction

  • Validate whether T1485.001: Lifecycle-Triggered Deletion appears in your detection coverage and tabletop scenarios.
  • Use the object to align executive risk language with SOC, incident response, and detection engineering work.
  • Do not treat ATT&CK relationship context as attribution without corroborating evidence.

Mitigation priorities

  • Map the object to existing controls and identify missing telemetry or response ownership.
  • Prioritize mitigations that reduce exposure on the listed platforms and tactics.
  • Review adjacent ATT&CK relationships before changing policy, detections, or reporting language.
Additional notes and limits

Baseline Glexia take generated from the official MITRE ATT&CK STIX object, source hash, tactics, platforms, and detection fields. It is safe to replace with a richer model-generated take for the same source hash later.

This baseline take is source-grounded and schema-validated, but it does not include environment-specific telemetry, incident evidence, or threat-intelligence corroboration.

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Official MITRE ATT&CK definition

Lifecycle-Triggered Deletion

Adversaries may modify the lifecycle policies of a cloud storage bucket to destroy all objects stored within.

Cloud storage buckets often allow users to set lifecycle policies to automate the migration, archival, or deletion of objects after a set period of time.[1][2][3] If a threat actor has sufficient permissions to modify these policies, they may be able to delete all objects at once.

For example, in AWS environments, an adversary with the `PutLifecycleConfiguration` permission may use the `PutBucketLifecycle` API call to apply a lifecycle policy to an S3 bucket that deletes all objects in the bucket after one day.[4][5] In addition to destroying data for purposes of extortion and Financial Theft, adversaries may also perform this action on buckets storing cloud logs for Indicator Removal.[6]

View the same entry on attack.mitre.org (MITRE-hosted reference; in-page links above use the Glexia ATT&CK library.)

Glexia analysis

How security teams should use this page

Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.

ATT&CK relationship table

Related techniques

This mirrors the MITRE pattern of making group, software, campaign, and technique relationships scannable. Relationship notes come from mirrored ATT&CK relationship text when available.

1 rows
DomainIDNameRelationship / procedure
EnterpriseT1485Data DestructionThis object subtechnique of Data Destruction.
Relationship explorer

All related ATT&CK context

Mitigations

Mitigation direction

Change history

Object version and sync metadata

The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates.

ATT&CK release
19.2
Object version
1.1
Created
Modified
Raw hash
3fc2072b3c1ec7f9...
Imported snapshots across ATT&CK releases(2)
ReleaseBundle importedObject versionModifiedStatusRaw hash
19.21.1Current bundle3fc2072b3c1e…
19.11.1Older bundle3fc2072b3c1e…
Raw source

Mirrored ATT&CK source object

The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.

Source references

External references and citations

MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.

  1. [1]
    AWS Storage Lifecycles

    AWS. (n.d.). Managing the lifecycle of objects. Retrieved September 25, 2024.

    Open source URL
  2. [2]
    GCP Storage Lifecycles

    Google Cloud. (n.d.). Object Lifecycle Management. Retrieved September 25, 2024.

    Open source URL
  3. [3]
    Azure Storage Lifecycles

    Microsoft Azure. (2024, July 3). Configure a lifecycle management policy. Retrieved September 25, 2024.

    Open source URL
  4. [4]
    Palo Alto Cloud Ransomware

    Ofir Balassiano and Ofir Shaty. (2023, November 29). Ransomware in the Cloud: Breaking Down the Attack Vectors. Retrieved September 25, 2024.

    Open source URL
  5. [5]
    Halcyon AWS Ransomware 2025

    Halcyon RISE Team. (2025, January 13). Abusing AWS Native Services: Ransomware Encrypting S3 Buckets with SSE-C. Retrieved March 18, 2025.

    Open source URL
  6. [6]
    Datadog S3 Lifecycle CloudTrail Logs

    Stratus Red Team. (n.d.). CloudTrail Logs Impairment Through S3 Lifecycle Rule. Retrieved September 25, 2024.

    Open source URL
  7. [7]
    mitre-attackT1485.001
    Open source URL
Source and licensing

Source: MITRE ATT&CK®. © 2026 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation. MITRE ATT&CK and ATT&CK are registered trademarks of The MITRE Corporation. Glexia is not affiliated with or endorsed by MITRE.