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MITRE ATT&CK® Analytic

AN1582: Analytic 1582

Detects use of built-in SaaS sharing mechanisms to transfer ownership or share access of critical data to external tenants or untrusted users through API calls or link generation features.

EnterpriseAN1582AnalyticObject v1.0 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence Medium

This analytic is about spotting when SaaS data is shared or transferred outside the trusted organization boundary using normal product features, such as ownership transfer, external sharing, API-driven access changes, or generated links. For leaders, the significance is that sensitive data can leave governance boundaries without malware or infrastructure compromise; the deciding question is whether the organization can prove who shared what, with whom, by which mechanism, and whether that recipient was trusted.

Executive priority

Prioritize this as a data governance and operational resilience control for SaaS environments. It supports incident decision-making, compliance evidence, and cloud/SaaS security assurance by validating whether critical data sharing is observable and reviewable. Executives should ask whether critical SaaS repositories have defined trusted tenants/users, whether external sharing is governed by policy, and whether SOC or IR teams can rapidly identify risky sharing events.

Technical view

For SOC, detection engineering, and IR teams, validate monitoring of SaaS-native sharing mechanisms on the SaaS platform: ownership transfers, external user or tenant access grants, API calls that change sharing state, and link generation features. Because ATT&CK provides no separate detection logic or relationship context for this analytic, teams should build local criteria around critical data locations, trusted versus untrusted recipients, and approved business workflows.

Likely telemetry

  • SaaS audit logs for sharing, permission, and ownership-change events
  • API activity logs showing calls that grant access, transfer ownership, or modify sharing settings
  • Events for creation or modification of shareable links
  • User, tenant, domain, or recipient identifiers associated with external access
  • Object or file metadata identifying critical data locations and ownership

Detection direction

  • Validate that SaaS audit logging captures both user-interface and API-driven sharing actions.
  • Tune detections around external tenants, untrusted users, public or broadly accessible links, and ownership transfers involving critical data.
  • Establish allowlists or business-context exceptions for approved partner sharing to reduce false positives.
  • Correlate sharing events with asset/data criticality so alerts distinguish routine collaboration from high-risk exposure.
  • Check blind spots where link generation, API integrations, or ownership transfer events are not ingested into the SIEM or detection platform.

Mitigation priorities

  • Define trusted tenants, domains, and users for external sharing decisions.
  • Restrict or require approval for external sharing and ownership transfer of critical SaaS data where business requirements allow.
  • Ensure SaaS audit logging is enabled and retained long enough to support investigations and compliance evidence.
  • Review privileged SaaS roles and integrations that can change sharing permissions through APIs.
  • Periodically test whether SOC and IR teams can reconstruct external access to critical SaaS data from available logs.
Analyst notes and limits

The supplied ATT&CK object is a detection analytic for SaaS platforms and specifically focuses on built-in SaaS sharing mechanisms used to transfer ownership or share access externally. No tactics, relationships, aliases, labels, or official detection logic were supplied, so implementation should be driven by the organization’s SaaS audit capabilities and data governance model.

This take is limited to the official STIX fields, external reference, and absence of relationship context provided. It does not establish active exploitation, attribution, affected vendors, or guaranteed detection coverage. Local SaaS configuration, log availability, trusted-recipient definitions, and data classification are required to make the analytic operational.

Official MITRE ATT&CK definition

Analytic 1582

Detects use of built-in SaaS sharing mechanisms to transfer ownership or share access of critical data to external tenants or untrusted users through API calls or link generation features.

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.

Relationship explorer

All related ATT&CK context

No relationships are available in the current normalized data for this object.

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
19.1
Object version
1.0
Created
Modified
Raw hash
816a70fadd4027e7...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 1.0 Current bundle 816a70fadd40…
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]
    mitre-attack AN1582
    Open source URL
Source and licensing

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