AN1467: Analytic 1467
Execution of processes that link to CoreServices or Foundation APIs followed by creation of memory regions, code execution, or abnormal library injection.
Analyst context for executives and security teams
This analytic matters because it points to suspicious macOS process behavior around Apple CoreServices or Foundation APIs followed by memory creation, code execution, or abnormal library injection. For leaders, the value is not the API names themselves; it is whether the organization can see and investigate potentially stealthy execution patterns on macOS endpoints before they become an incident-response blind spot.
Executive priority
Prioritize this where macOS systems are business-critical, used by privileged staff, developers, executives, or access administrators, or are in scope for compliance evidence. The key decision is whether endpoint telemetry and SOC procedures can prove visibility into macOS process execution, memory activity, and library-loading anomalies. If macOS monitoring is lighter than Windows monitoring, this analytic highlights a resilience and audit-readiness gap.
Technical view
ATT&CK supplies this as a macOS detection analytic with no tactic mapping and no official detection logic. SOC and detection engineering teams should treat it as a validation prompt: identify processes linking to CoreServices or Foundation APIs and correlate that with subsequent memory region creation, code execution indicators, or abnormal library injection. Because no relationships or detection implementation are supplied, local baselining is required to distinguish expected macOS application behavior from anomalous execution chains.
Likely telemetry
- macOS process execution events
- Process-to-library or framework load/link telemetry involving CoreServices or Foundation APIs
- Memory region creation or memory execution telemetry where available
- Library injection or abnormal dynamic library loading evidence
- Endpoint detection and response alerts or raw sensor events from macOS hosts
Detection direction
- Confirm whether macOS endpoint tooling captures framework/library load activity, process lineage, and memory execution signals at sufficient fidelity.
- Baseline common legitimate applications that use CoreServices or Foundation APIs to reduce false positives.
- Tune for sequences rather than single events: API/framework linkage followed by memory creation, code execution, or abnormal library injection.
- Review blind spots on unmanaged macOS devices, developer workstations, executive laptops, and systems with reduced endpoint sensor permissions.
- Because ATT&CK provides no official detection logic, require local test data and analyst review before treating this as production-ready coverage.
Mitigation priorities
- Ensure macOS endpoints that matter to business operations are enrolled in managed endpoint monitoring.
- Harden endpoint control posture around application execution, code signing, and unapproved software where organizational policy supports it.
- Validate incident-response playbooks for macOS process, library-loading, and memory-execution triage.
- Maintain asset ownership and criticality context so suspicious macOS execution can be prioritized quickly.
- Use this analytic as evidence-gathering input for control validation rather than as a standalone mitigation.
Analyst notes and limits
The supplied object is a detection analytic, not an ATT&CK technique, and it has no tactic assignment, no official detection text, and no relationship context. The strongest use is as a macOS visibility and detection-engineering validation item for suspicious process and library/memory behavior.
This take is limited to the official fields provided. It does not establish adversary use, active exploitation, impact, attribution, or guaranteed detection coverage. Practical conclusions require local macOS telemetry, baselines, tooling capability, and incident history.
Analytic 1467
Execution of processes that link to CoreServices or Foundation APIs followed by creation of memory regions, code execution, or abnormal library injection.
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 (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.0 | Current bundle | b45a80ef5b9f… |
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-attack AN1467Open 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.