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MITRE ATT&CK® Analytic

AN1163: Analytic 1163

Access of mounted cloud shares or document repositories via browser, terminal, or Finder by users not typically interacting with those resources. Includes script-based enumeration or mass download.

EnterpriseAN1163AnalyticObject v1.0 Modified
Glexia's Take

Analyst context for executives and security teams

Analyst confidence Medium

This analytic is about spotting unusual macOS user access to mounted cloud shares or document repositories, especially when access happens through a browser, terminal, or Finder and the user does not normally interact with those resources. For leaders, the value is in validating whether sensitive shared data access is observable and whether the organization can distinguish normal collaboration from possible enumeration or mass download behavior.

Executive priority

Prioritize this where business-critical documents, regulated data, or operational repositories are accessible from macOS endpoints. The key management question is not only whether access is allowed, but whether security teams can prove who accessed shared resources, from where, by what tool, and whether the activity was unusual for that user. This supports incident response decisions, audit evidence, insider-risk review, and cloud/document repository control validation.

Technical view

SOC and detection teams should validate coverage for macOS access to mounted cloud shares and document repositories through browser, terminal, and Finder activity. Because no official detection logic is supplied, detection should focus on behavioral baselining: users accessing repositories they rarely or never use, script-like enumeration patterns, high-volume file listing, or mass download behavior. Tuning should account for legitimate role changes, onboarding, project work, migrations, and administrative activity.

Likely telemetry

  • macOS endpoint process execution telemetry for browser, terminal, shell, and Finder-related access patterns
  • File system access telemetry for mounted shares and synchronized or mounted document repositories
  • Cloud share or document repository audit logs showing user, resource, action, volume, and timestamp
  • Identity and authentication logs tying the macOS user/session to repository access
  • Browser, proxy, or network logs where repository access occurs through web interfaces

Detection direction

  • Build baselines of normal user-to-repository interaction and alert on first-time, rare, or unusual access to sensitive shares.
  • Correlate macOS endpoint activity with cloud/document repository audit events to distinguish browser, Finder, and terminal-driven access.
  • Look for volume and pattern anomalies consistent with enumeration or mass download, while suppressing known migration, backup, or sanctioned administrative workflows.
  • Validate whether terminal or script-driven access is visible; this is a likely blind spot if only browser or cloud-console logs are monitored.
  • Tune by user role, department, data sensitivity, and expected project access to reduce false positives from legitimate collaboration changes.

Mitigation priorities

  • Confirm least-privilege access to mounted cloud shares and document repositories, especially for sensitive or business-critical data.
  • Perform periodic access reviews for users and groups with repository permissions.
  • Ensure repository audit logging and macOS endpoint telemetry are retained long enough to support investigations.
  • Use data classification and sensitivity-based monitoring to prioritize alerts involving important repositories.
  • Define incident response playbooks for unusual repository access, including account validation, access revocation decisions, and evidence preservation.
Analyst notes and limits

The supplied ATT&CK object is a detection analytic for macOS focused on anomalous access to mounted cloud shares or document repositories. It has no specified tactics, no official detection logic, and no relationship context, so this take emphasizes practical validation of telemetry, baselining, and access governance rather than asserting a specific adversary technique or detection rule.

No official detection text, tactics, relationships, aliases, or procedure examples were supplied. Local repository architecture, logging availability, user role context, and normal collaboration patterns are required before this can be converted into reliable detection logic.

Official MITRE ATT&CK definition

Analytic 1163

Access of mounted cloud shares or document repositories via browser, terminal, or Finder by users not typically interacting with those resources. Includes script-based enumeration or mass download.

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
f569618f735e6c7b...
Imported snapshots across ATT&CK releases (1)
Release Bundle imported Object version Modified Status Raw hash
19.1 1.0 Current bundle f569618f735e…
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 AN1163
    Open source URL
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