Complete technique description
Adversaries may exploit software vulnerabilities in an attempt to elevate privileges. Exploitation of a software vulnerability occurs when an adversary takes advantage of a programming error in a program, service, or within the operating system software or kernel itself to execute adversary-controlled code. Security constructs such as permission levels will often hinder access to information and use of certain techniques, so adversaries will likely need to perform privilege escalation to include use of software exploitation to circumvent those restrictions. [The MITRE Corporation]
When initially gaining access to a system, 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 software commonly 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 permissions to SYSTEM or root permissions depending on the component that is vulnerable. This may be a necessary step for an adversary compromising an endpoint system that has been properly configured and limits other privilege escalation methods. [The MITRE Corporation]
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 Log Content · source-mapped
DC0038 collection page — Select the application event family required by the detection and document its native schema before normalization.
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: service, action, actor, record_count, 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": "DC0038",
"collector": "illustrative-lab-collector",
"observation": {
"service": "lab-portal",
"action": "export_requested",
"actor": "lab-reader",
"record_count": 3,
"result": "authorized"
}
}
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.
Logon Session Metadata · source-mapped
DC0088 collection page — Collect supported session inventory and correlate session IDs with authentication, logon and logoff events.
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: session_id, account, host, session_type.
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": "DC0088",
"collector": "illustrative-lab-collector",
"observation": {
"session_id": "lab-session-1",
"account": "LAB\\analyst",
"host": "lab-host-1",
"session_type": "interactive"
}
}
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 Connection Creation · source-mapped
DC0082 collection page — Enable scoped Sysmon NetworkConnect (3), disabled by default, or a platform-equivalent process-aware network sensor.
Providers and collection configuration
- Microsoft Sysmon: Windows event-based collection; enable the event types needed below.
- Linux Audit: Linux alternative for supported system-call and file events; different semantics and fields.
- Apple Endpoint Security clients: macOS alternative where the subscribed event exists; requires an entitled, approved client, not an iOS collector.
- On a disposable Windows host, review the installed Sysmon schema and current configuration; merge scoped event filters into the existing policy rather than replacing it.
- Forward Microsoft-Windows-Sysmon/Operational to the lab collector. Preserve event ID, timestamp, computer, process identifiers and the original event.
- For Linux or macOS, select the equivalent sensor separately and test its emitted fields; a Windows event ID does not transfer across platforms.
Required normalized fields: process_guid, destination_ip, destination_port, protocol, initiated.
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": "DC0082",
"collector": "illustrative-lab-collector",
"observation": {
"process_guid": "lab-process-001",
"destination_ip": "198.51.100.20",
"destination_port": 443,
"protocol": "tcp",
"initiated": true
}
}
Visibility limits: Event filtering and sensor versions change coverage. High-volume image-load and process-access collection needs tuning; endpoint events alone do not establish intent.
Process Metadata · source-mapped
DC0034 collection page — Collect read-only process inventory with PID plus start time/stable identity, command line and collection time; restrict access to potentially sensitive arguments.
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: process_id, image, owner_uid, started_at.
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": "DC0034",
"collector": "illustrative-lab-collector",
"observation": {
"process_id": 4200,
"image": "/usr/bin/sleep",
"owner_uid": 1000,
"started_at": "2026-09-27T11:59:00Z"
}
}
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.
Simulation design and documented procedures
Atomic evidence: no compatible candidate in this snapshot. Live lab status: not run for these imported procedures.
Use a process simulator or isolated test rig with no connection to production controllers or physical actuators. Preserve safety interlocks; destructive effects require synthetic evidence, not real equipment damage.
No compatible Atomic procedure is present in this pinned evidence set. Technical feasibility has not been ruled out. A custom procedure must define the behavior, target, collection point, success observable and rollback before execution.
Technique-specific experiment contract
- Choose one procedure implementing T0890 Exploitation for Privilege Escalation; identify the observable behavior in the source definition, not just its tactic.
- Record exact target, tool/version, inputs, privileges, network limits and approval. Never run an imported default target automatically.
- Enable the collection sources above and verify a benign baseline reaches the detector.
- Run only the approved isolated scenario; capture native events and an independent behavior observable.
- Evaluate the exact rule/model, restore the lab, and preserve configuration, event hashes, alerts, controls and misses.