1200kmSECURITY RESEARCH
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1200KM / detection

T1546.006 LC_LOAD_DYLIB Addition — Detection Rules

Detection workspace for T1546.006 LC_LOAD_DYLIB Addition: 0 Sigma sources, 0 Atlas concepts and 0 anomaly models. No live detection validation.

Source-backed rule directory

No reviewed association in this snapshot.

Atlas deterministic concepts

No exact concept selected.

Anomaly models

No exact Atlas model in this snapshot.

ATT&CK analytic guidance

DET0216 Detection Strategy for LC_LOAD_DYLIB Modification in Mach-O Binaries on macOS

AN0607 Analytic 0607

Detection focuses on unauthorized modification of Mach-O binaries to include LC_LOAD_DYLIB headers pointing to malicious dylibs. Behavior is identified via a chain of file metadata changes, removal of code signatures, and subsequent anomalous dylib loads at runtime. Correlation of file changes with lack of authorized updates and process memory mapping of unrecognized or unsigned libraries is crucial.

Connected ecosystem references

Linked tags

Simulation, tools and telemetry

T1546.006 simulation workspace

No reviewed association in this snapshot.

Existing anomaly research

Original publication snapshot · Anomaly Detection Atlas

Pinned research references. No browser attack runner, live simulation result or validated detector is asserted. Source mappings and validation limits are preserved. ATT&CK / Atomic provenance · Detection provenance.