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T1659 Content Injection — Detection Rules

Detection workspace for T1659 Content Injection: 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

DET0349 Detection Strategy for Content Injection

AN0992 Analytic 0992

Detect suspicious file creations and process executions triggered by browser activity (e.g., injected payloads written to %AppData% or Temp directories, then executed). Correlate network anomalies with subsequent local process creation or script execution.

AN0993 Analytic 0993

Detect curl/wget commands saving executable/script payloads to /tmp or /var/tmp followed by execution. Monitor packet captures or IDS/IPS alerts for injected responses or mismatched content types.

AN0994 Analytic 0994

Monitor unified logs for processes spawned from Safari or other browsers that immediately load scripts or executables. Detect file drops in ~/Library/Caches or ~/Downloads that execute shortly after being written.

Connected ecosystem references

Linked tags

Simulation, tools and telemetry

T1659 simulation workspace

No reviewed association in this snapshot.

Threat actor context

These are explicit actor-to-technique associations in the existing Threat Matrix snapshot, not attribution of an event or proof that a detector identifies the actor. No tool-to-actor relationship is inferred.

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.