1200KM / detection
T1619 Cloud Storage Object Discovery — Detection Rules
Detection workspace for T1619 Cloud Storage Object Discovery: 1 Sigma sources, 0 Atlas concepts and 0 anomaly models. No live detection validation.
Source-backed rule directory
- Potential Bucket Enumeration on AWS · test · low · {"product":"aws","service":"cloudtrail"}
Atlas deterministic concepts
No exact concept selected.
Anomaly models
No exact Atlas model in this snapshot.
ATT&CK analytic guidance
DET0578 Detection Strategy for Cloud Storage Object Discovery
AN1594 Analytic 1594
Detection of suspicious enumeration of cloud storage objects via API calls such as AWS S3 ListObjectsV2, Azure List Blobs, or GCP ListObjects. Correlate access with account role, user context, and prior authentication activity to identify anomalous usage patterns (e.g., unusual account, unexpected regions, or large-scale enumeration in short time windows).
Connected ecosystem references
Linked tags
Simulation, tools and telemetry
Threat actor context
These are explicit actor-to-technique associations in the existing Threat Matrix snapshot, not attribution of an event or proof that a detector identifies the actor. No tool-to-actor relationship is inferred.
Existing anomaly research
Complete technique engineering workbook
Collection configuration and event examples · Anomaly models and design worksheet · Tools and documented software · Simulation procedures · Offline synthetic collection check
Exact source tags are not semantic relevance verdicts. Review actual rule conditions and observation points; imported rules are not backend-compiled or live-validated.
Pinned research references. No browser attack runner or production-validated detector is asserted. Imported procedures remain unvalidated; any bounded lab evidence has its own scope. ATT&CK / Atomic provenance · Detection provenance.