DC0022: Cloud Storage Deletion
Cloud Storage Deletion refers to the removal or destruction of cloud storage infrastructure, such as buckets, containers, or directories, within a cloud environment. Monitoring this activity is critical to detecting potential unauthorized or malicious actions, such as data destruction by adversaries or accidental deletions that may lead to data loss. Examples:
- AWS S3 Bucket Deletion: An AWS user deletes an S3 bucket using the `DeleteBucket` API call. - Azure Blob Storage Container Deletion: A user deletes a container in Azure Blob Storage using the `Delete Container` operation. - Google Cloud Storage Bucket Deletion: A Google Cloud user deletes a bucket using the `storage.buckets.delete` API. - OpenStack Swift Container Deletion: A user deletes a container in OpenStack Swift using the `DELETE` method.
This data component can be collected through the following measures:
Enable Logging for Cloud Storage Services
- AWS S3: Enable AWS CloudTrail to log DeleteBucket API actions. - Azure Blob Storage: Enable Azure Monitor and Diagnostic Logs to capture Delete Container operations. Use Azure Event Grid to capture and trigger alerts for container deletion. - Google Cloud Storage: Enable Data Access logs in Cloud Audit Logs to monitor storage.buckets.delete API calls. - OpenStack Swift: Configure Swift logging to capture DELETE requests for containers.
Centralized Logging and Analysis
- Use platforms like Splunk or native SIEMs to forward and analyze logs for anomalies in cloud storage deletions.
Security context for executives and security teams
DC0022: Cloud Storage Deletion describes Cloud Storage Deletion refers to the removal or destruction of cloud storage infrastructure, such as buckets, containers, or directories, within a cloud environment. Monitoring this activity is critical to detecting potential unauthorized or malicious actions, such as data destruction by adversaries or accidental deletions that may lead to data loss. Examples: - AWS S3 Bucket Deletion: An AWS user deletes an S3 bucket using the `DeleteBucket` API call. - Azure Blob Storage Container Deletion: A user deletes a conta...
Executive priority
DC0022: Cloud Storage Deletion is an official MITRE ATT&CK data component. 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 DC0022: Cloud Storage Deletion by reviewing the official ATT&CK relationships, mapped tactics (the mapped ATT&CK tactic context), supported platforms (the platforms named in the official object), and available local telemetry before making detection or mitigation decisions.
Likely telemetry
- Official ATT&CK relationships and object metadata
Detection direction
- Validate whether DC0022: Cloud Storage 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.
Cloud Storage Deletion
Cloud Storage Deletion refers to the removal or destruction of cloud storage infrastructure, such as buckets, containers, or directories, within a cloud environment. Monitoring this activity is critical to detecting potential unauthorized or malicious actions, such as data destruction by adversaries or accidental deletions that may lead to data loss. Examples:
- AWS S3 Bucket Deletion: An AWS user deletes an S3 bucket using the `DeleteBucket` API call. - Azure Blob Storage Container Deletion: A user deletes a container in Azure Blob Storage using the `Delete Container` operation. - Google Cloud Storage Bucket Deletion: A Google Cloud user deletes a bucket using the `storage.buckets.delete` API. - OpenStack Swift Container Deletion: A user deletes a container in OpenStack Swift using the `DELETE` method.
This data component can be collected through the following measures:
Enable Logging for Cloud Storage Services
- AWS S3: Enable AWS CloudTrail to log DeleteBucket API actions. - Azure Blob Storage: Enable Azure Monitor and Diagnostic Logs to capture Delete Container operations. Use Azure Event Grid to capture and trigger alerts for container deletion. - Google Cloud Storage: Enable Data Access logs in Cloud Audit Logs to monitor storage.buckets.delete API calls. - OpenStack Swift: Configure Swift logging to capture DELETE requests for containers.
Centralized Logging and Analysis
- Use platforms like Splunk or native SIEMs to forward and analyze logs for anomalies in cloud storage deletions.
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.
All related ATT&CK context
No relationships are available in the current normalized data for this object.
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.
Imported snapshots across ATT&CK releases(3)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 20.0 | 2.0 | Older bundle | ded293b45ddc… | ||
| 19.2 | 2.0 | Current bundle | ded293b45ddc… | ||
| 19.1 | 2.0 | Older bundle | ded293b45ddc… |
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.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
- [1]mitre-attackDC0022Open source URL
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