DET0413: Abuse of Information Repositories for Data Collection
This detection strategy is about recognizing when information repositories are being abused for data collection. For leaders, the practical issue is that c...
Analyst context for executives and security teams
This detection strategy is about recognizing when information repositories are being abused for data collection. For leaders, the practical issue is that collaboration and knowledge platforms can contain credentials, project plans, customer data, operational details, and other sensitive material that may help an adversary move toward broader objectives. The ATT&CK object itself is sparse, but its relationship to T1213 makes the decision point clear: organizations should know whether they can see unusual access, search, download, or sharing behavior in repositories that support business collaboration.
Executive priority
Prioritize this as a visibility and governance question for high-value information stores, especially SaaS repositories and enterprise collaboration platforms. Executives should ask which repositories contain regulated, sensitive, or operationally critical data; whether access and sharing are governed; and whether SOC and incident response teams have usable audit evidence when repository abuse is suspected. This supports business continuity, compliance evidence, insider-risk review, and incident scoping, but local repository inventory and telemetry determine actual risk and coverage.
Technical view
The supplied detection strategy has no official detection logic, platforms, or tactics listed, but it detects T1213, Data from Information Repositories, which is an enterprise collection technique associated with Linux, Windows, macOS, and SaaS environments. SOC and detection engineering teams should validate monitoring around repository access patterns, searches, downloads, exports, permission changes, and external sharing activity. Incident responders should be able to correlate repository activity with identity context, endpoint context where applicable, and SaaS audit trails to determine whether access was expected, excessive, or suspicious.
Likely telemetry
- Repository audit logs for reads, searches, downloads, exports, and bulk access
- SaaS audit events for authentication, session activity, permission changes, and external sharing
- Identity provider logs for user, device, location, and authentication context
- Endpoint telemetry where repository access occurs from Linux, Windows, or macOS systems
- Data access governance or DLP logs where available
Detection direction
- Validate that logs exist for the repositories that store sensitive business, engineering, customer, or operational data; many blind spots come from unmonitored collaboration spaces rather than failed analytics.
- Baseline normal repository usage by role, project, and business function so high-volume access, unusual search behavior, or atypical downloads can be triaged with context.
- Correlate repository events with identity signals such as new devices, unusual locations, recent privilege changes, or abnormal authentication patterns.
- Tune for false positives from legitimate migrations, legal discovery, backups, onboarding, audits, and large project transitions.
- Use the relationship to T1213 to focus detection on collection behavior from information repositories rather than assuming a specific platform, tool, or adversary procedure.
Mitigation priorities
- Inventory information repositories and identify which contain sensitive, regulated, or operationally important data.
- Apply least-privilege access and periodically review repository permissions, especially broad groups and administrative roles.
- Restrict and monitor external sharing features where business requirements allow.
- Ensure repository audit logging is enabled, retained, and available to SOC and incident response workflows.
- Define incident response playbooks for suspected repository collection, including account containment, access review, data exposure scoping, and preservation of audit evidence.
Analyst notes and limits
This take is based on DET0413 and its stated relationship detecting T1213. The official detection strategy provides no description or detection text, so the guidance is intentionally framed as validation direction rather than specific analytic logic. The related technique description supports the focus on information repositories used for collaboration or information sharing and the possibility that collected data may support further objectives such as credential access, lateral movement, defense evasion, or direct access to target information.
The ATT&CK detection strategy object does not specify platforms, tactics, aliases, labels, an official description, or official detection guidance. Platform references come only from the related T1213 technique. Actual coverage depends on the organization’s repository inventory, SaaS and endpoint logging, identity architecture, retention, and business usage patterns.
Abuse of Information Repositories for Data Collection
No official description is available in the imported ATT&CK source object.
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.
Techniques used
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.
| Domain | ID | Name | Relationship / procedure |
|---|---|---|---|
| Enterprise | T1213 | Data from Information Repositories | This object detects Data from Information Repositories. |
All related ATT&CK context
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 (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.0 | Current bundle | 42e66e96b8b2… |
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.
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mitre-attack DET0413Open source URL
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