DC0026: Image Deletion
Removal of a virtual machine image in a cloud infrastructure (ex: Azure Compute Service Images DELETE) Examples:
- Azure Compute Service Image Deletion - Example: Deleting a virtual machine image using Azure CLI: `az image delete --name MyImage --resource-group MyResourceGroup` - AWS EC2 AMI (Amazon Machine Image) Deletion - Example: Deregistering an AMI in AWS: `aws ec2 deregister-image --image-id ami-1234567890abcdef0` - Google Cloud Compute Engine Image Deletion - Example: Deleting a custom image in Google Cloud: `gcloud compute images delete my-custom-image` - VMware vSphere - Example: Deleting a VM image/template from a vSphere environment:
This data component can be collected through the following measures:
Enable Cloud Platform Logging
- Azure: Enable "Activity Logs" to capture DELETE requests to `Microsoft.Compute/images`. - AWS: Use AWS CloudTrail to monitor `DeregisterImage` or `DeleteSnapshot` API calls. - Google Cloud: Enable "Cloud Audit Logs" to track image deletion events under `compute.googleapis.com/images`.
API Monitoring
- Monitor API activity to track the deletion of images using: - AWS SDK/CLI `DeregisterImage` or `DeleteSnapshot`. - Azure REST API DELETE operations for images. - Google Cloud Compute Engine APIs for image deletion.
Cloud SIEM Integration
- Ingest logs into a centralized SIEM platform for monitoring and alerting:
Event Correlation
- Correlate image deletion events with unusual account activity or concurrent unauthorized operations.
Security context for executives and security teams
DC0026: Image Deletion describes Removal of a virtual machine image in a cloud infrastructure (ex: Azure Compute Service Images DELETE) Examples: - Azure Compute Service Image Deletion - Example: Deleting a virtual machine image using Azure CLI: `az image delete --name MyImage --resource-group MyResourceGroup` - AWS EC2 AMI (Amazon Machine Image) Deletion - Example: Deregistering an AMI in AWS: `aws ec2 deregister-image --image-id ami-1234567890abcdef0` - Google Cloud Compute Engine Image Deletion - Example: Deleting a custom image in Google Cloud...
Executive priority
DC0026: Image 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 DC0026: Image 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 DC0026: Image 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.
Image Deletion
Removal of a virtual machine image in a cloud infrastructure (ex: Azure Compute Service Images DELETE) Examples:
- Azure Compute Service Image Deletion - Example: Deleting a virtual machine image using Azure CLI: `az image delete --name MyImage --resource-group MyResourceGroup` - AWS EC2 AMI (Amazon Machine Image) Deletion - Example: Deregistering an AMI in AWS: `aws ec2 deregister-image --image-id ami-1234567890abcdef0` - Google Cloud Compute Engine Image Deletion - Example: Deleting a custom image in Google Cloud: `gcloud compute images delete my-custom-image` - VMware vSphere - Example: Deleting a VM image/template from a vSphere environment:
This data component can be collected through the following measures:
Enable Cloud Platform Logging
- Azure: Enable "Activity Logs" to capture DELETE requests to `Microsoft.Compute/images`. - AWS: Use AWS CloudTrail to monitor `DeregisterImage` or `DeleteSnapshot` API calls. - Google Cloud: Enable "Cloud Audit Logs" to track image deletion events under `compute.googleapis.com/images`.
API Monitoring
- Monitor API activity to track the deletion of images using: - AWS SDK/CLI `DeregisterImage` or `DeleteSnapshot`. - Azure REST API DELETE operations for images. - Google Cloud Compute Engine APIs for image deletion.
Cloud SIEM Integration
- Ingest logs into a centralized SIEM platform for monitoring and alerting:
Event Correlation
- Correlate image deletion events with unusual account activity or concurrent unauthorized operations.
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 | 56db867ce6d3… | ||
| 19.2 | 2.0 | Current bundle | 56db867ce6d3… | ||
| 19.1 | 2.0 | Older bundle | 56db867ce6d3… |
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-attackDC0026Open source URL
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.