Complete technique description
Adversaries may exploit software vulnerabilities in order to elevate privileges. Exploitation of a software vulnerability occurs when an adversary takes advantage of a programming error in an application, service, within the operating system software, or kernel itself to execute adversary-controlled code. Security constructions, such as permission levels, will often hinder access to information and use of certain techniques. Adversaries will likely need to perform privilege escalation to include use of software exploitation to circumvent those restrictions.
When initially gaining access to a device, an adversary may be operating within a lower privileged process which will prevent them from accessing certain resources on the system. Vulnerabilities may exist, usually in operating system components and applications running at higher permissions, that can be exploited to gain higher levels of access on the system. This could enable someone to move from unprivileged or user- level permission to root permissions depending on the component that is vulnerable.
Official technique definition · Open in the interactive matrix
Detection telemetry and configuration
These contracts are selected through exact technique-to-data-component relationships or explicitly labelled planning overrides. Configure a collector at the relevant observation point; a telemetry name alone is not coverage.
Application Permission · source-mapped
DC0114 collection page — Compare manifest declarations with runtime granted state using authorized package inspection and own-app permission checks.
Providers and collection configuration
- Android logcat: Permitted logs from a consented test device/emulator; output depends on build, permissions and instrumentation.
- Android dumpsys: Point-in-time service/package state on an authorized development device.
- Instrumented test application: Own-app permission, API and state callbacks; not universal visibility into other apps.
- Use a disposable emulator or owned development device with approved debugging. Record OS/API level, app version and instrumentation privileges.
- Collect only relevant logcat buffers/tags and service snapshots; add explicit own-app instrumentation for events absent from OS logs.
- Forward sanitized logs and compare before/after state. Remove test data and revoke debugging access after the lab session.
Required normalized fields: package, permission, declared, granted.
adb shell dumpsys package test.example.lab
Read-only snapshot on a consented debug device. Replace the example package with your owned test app. Output and access vary by Android build; this is not a permission-request event stream.
Illustrative collection event
Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.
{
"schema": "1200km.telemetry.example.v1",
"synthetic": true,
"timestamp": "2026-09-27T12:00:00Z",
"telemetry_id": "DC0114",
"collector": "illustrative-lab-collector",
"observation": {
"package": "test.example.lab",
"permission": "android.permission.CAMERA",
"declared": true,
"granted": false
}
}
Visibility limits: Android tooling does not imply iOS coverage. Standard mobile apps cannot observe all other apps or protected OS internals; MDM status is not full API, filesystem or content telemetry.
Host Status · source-mapped
DC0018 collection page — Collect agent heartbeat and OS health independently; record missed polls, last-seen time and monitor health.
Providers and collection configuration
- osquery: Scheduled host-state queries; supported tables and privileges vary by OS. Select a table that actually exposes the required object.
- Linux Audit plus inventory snapshots: Events explain changes; snapshots describe state at collection time.
- Define the inventory query, allowed host set, interval and least-privileged reader. Store a stable asset ID, observation time and collector version.
- Keep successive snapshots and calculate additions, removals and changed attributes. Pair state changes with audit events when available.
- Export collector health and missed-poll counts so a missing snapshot is not misclassified as a missing asset.
Required normalized fields: asset_id, status, heartbeat_age_seconds, collector_healthy.
Illustrative collection event
Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.
{
"schema": "1200km.telemetry.example.v1",
"synthetic": true,
"timestamp": "2026-09-27T12:00:00Z",
"telemetry_id": "DC0018",
"collector": "illustrative-lab-collector",
"observation": {
"asset_id": "lab-host-1",
"status": "degraded",
"heartbeat_age_seconds": 90,
"collector_healthy": true
}
}
Visibility limits: Snapshots miss short-lived objects and do not identify who caused a change. A generic inventory agent is not guaranteed to expose firmware or kernel-level details.
Network Traffic Flow · source-mapped
DC0078 collection page — Collect Zeek conn.log, Suricata flow events or exporter equivalents, including observation point and sampling settings.
Providers and collection configuration
- Zeek: Connection and protocol metadata from traffic visible to the sensor.
- Suricata EVE: Configured flow, alert, DNS, HTTP, TLS and protocol records.
- AWS VPC Flow Logs: IP traffic metadata alternative; no packet payload or DNS answer history, and some traffic is not logged.
- Use an authorized lab TAP/SPAN, virtual mirror or gateway interface. Define which traffic crosses it; avoid assuming visibility into every segment.
- Enable the required Zeek analyzers or Suricata EVE event types. Export logs with sensor identity, clock synchronization and flow correlation identifiers.
- Monitor capture loss, truncation and exporter sampling. Capture payload only with approval and restrictive retention; encryption normally prevents plaintext inspection.
Required normalized fields: source_ip, destination_ip, destination_port, protocol, bytes_sent, bytes_received.
Illustrative collection event
Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.
{
"schema": "1200km.telemetry.example.v1",
"synthetic": true,
"timestamp": "2026-09-27T12:00:00Z",
"telemetry_id": "DC0078",
"collector": "illustrative-lab-collector",
"observation": {
"source_ip": "192.0.2.10",
"destination_ip": "198.51.100.20",
"destination_port": 443,
"protocol": "tcp",
"bytes_sent": 128,
"bytes_received": 512
}
}
Visibility limits: Flows are not packet payloads. NAT, asymmetric routes, encryption, missing mirrors and sampling can hide attribution or content. A destination connection alone does not prove malicious intent.
OS API Execution · source-mapped
DC0021 collection page — Use an approved EDR trace or instrument the owned lab process at selected APIs. Define API name, caller, sanitized arguments and return status.
Providers and collection configuration
- Enable the application audit category or instrument the owned lab application at the authorization/action boundary.
- Define a schema with timestamp, service, actor, object, action, result and correlation ID. Export structured records through an authenticated collector.
- Redact secrets and personal content, separate audit from debug logs, set retention and verify delivery during rotation/restart.
Required normalized fields: process_id, api, path, result.
Illustrative collection event
Project-normalized synthetic JSON, not a native provider log, captured event, attack verdict or validated detection. A parser/adapter is required for a real SIEM. Example names, IPs and values are fictional.
{
"schema": "1200km.telemetry.example.v1",
"synthetic": true,
"timestamp": "2026-09-27T12:00:00Z",
"telemetry_id": "DC0021",
"collector": "illustrative-lab-collector",
"observation": {
"process_id": 4200,
"api": "CreateFileW",
"path": "C:\\Lab\\demo.txt",
"result": "success"
}
}
Visibility limits: Debug output is not necessarily a durable audit trail. Application developers must emit the relevant event; installing a log pipeline does not make an absent event exist.