AN1401: Analytic 1401
Detects memory-based injection by monitoring `task_for_pid`, `mach_vm_write`, and dylib injection patterns through `DYLD_INSERT_LIBRARIES` or manual memory mapping.
Analyst context for executives and security teams
This analytic is relevant to macOS endpoint defense because it focuses on signs of memory-based injection: use of task_for_pid, mach_vm_write, and dynamic library injection patterns involving DYLD_INSERT_LIBRARIES or manual memory mapping. For leaders, the decision value is whether the organization has enough macOS visibility to identify suspicious process tampering behaviors that may not leave obvious file-based evidence.
Executive priority
Prioritize this as a macOS endpoint visibility and incident-response readiness question. If business-critical users, developers, administrators, or regulated workflows rely on macOS systems, leaders should confirm whether endpoint telemetry can support investigation of process injection-style activity, not just malware file detection. This also helps validate whether SOC evidence is sufficient for audit, containment decisions, and post-incident reconstruction on macOS assets.
Technical view
SOC and detection teams should validate whether macOS telemetry captures activity involving task_for_pid, mach_vm_write, DYLD_INSERT_LIBRARIES usage, and indicators consistent with manual memory mapping or dylib injection. Because no official detection logic is provided, teams should treat AN1401 as a detection objective rather than a ready-to-run rule. Detection engineering should focus on correlating suspicious process access or memory-write behavior with process ancestry, user context, binary reputation or signing posture where locally available, and expected administrative or developer activity.
Likely telemetry
- macOS endpoint process creation and process ancestry telemetry
- macOS security or EDR events related to task_for_pid usage
- macOS memory operation telemetry involving mach_vm_write where available
- Environment variable usage or process launch context involving DYLD_INSERT_LIBRARIES
- Dynamic library load or injection-related telemetry
Detection direction
- Confirm that macOS endpoints are in scope for collection; this analytic is not stated for Windows, Linux, cloud, or network-only telemetry.
- Validate whether the deployed endpoint tooling can observe task_for_pid, mach_vm_write, DYLD_INSERT_LIBRARIES, and dylib load behavior; many environments may not collect all of these signals by default.
- Tune detections against legitimate macOS administration, debugging, development, and security tooling that may use process inspection or library-loading behavior.
- Correlate low-level memory or dylib signals with process lineage, user role, asset criticality, and unusual execution context to reduce false positives.
- Because no ATT&CK relationships or official detection logic are supplied, avoid assuming coverage for a specific technique or campaign without local mapping and testing.
Mitigation priorities
- Establish macOS endpoint visibility requirements for process, library-load, and memory-related activity before relying on this analytic operationally.
- Restrict and monitor privileged capabilities that enable process inspection or manipulation, consistent with local macOS administration needs.
- Baseline legitimate developer, debugging, and administrative workflows that may trigger similar telemetry.
- Integrate macOS injection-related alerts into incident response playbooks so analysts can quickly preserve endpoint evidence and determine whether activity is authorized.
- Use this analytic to inform detection coverage reviews and control-gap discussions for macOS assets rather than as a standalone control.
Analyst notes and limits
AN1401 is a detection analytic object for macOS in the enterprise ATT&CK domain. The supplied description identifies the behaviors to monitor, but the object does not include official detection logic, tactics, aliases, labels, or relationship context. Defensive value depends heavily on local macOS telemetry depth and the organization’s ability to distinguish legitimate debugging or administration from suspicious injection patterns.
This take is limited to the supplied STIX fields and external reference. No active exploitation, attribution, specific ATT&CK technique mapping, business impact, or guaranteed detection coverage is implied. Local validation is required to determine whether the relevant macOS events are collected and usable.
Analytic 1401
Detects memory-based injection by monitoring `task_for_pid`, `mach_vm_write`, and dylib injection patterns through `DYLD_INSERT_LIBRARIES` or manual memory mapping.
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 | 311bdb05ab42… |
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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[1]
mitre-attack AN1401Open source URL
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