Complete technique description
Adversaries may exploit remote services of enterprise servers, workstations, or other resources to gain unauthorized access to internal systems once inside of a network. Adversaries may exploit remote services by taking advantage of a mobile device’s access to an internal enterprise network through local connectivity or through a Virtual Private Network (VPN). 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. A common goal for post-compromise exploitation of remote services is for lateral movement to enable access to a remote system.
An adversary may need to determine if the remote system is in a vulnerable state, which may be done through Network Service Scanning or other Discovery methods. These look for common, vulnerable software that may be deployed in the network, the lack of certain patches that may indicate vulnerabilities, or security software that may be used to detect or contain remote exploitation. Servers are likely a high value target for lateral movement exploitation, but endpoint systems may also be at risk if they provide an advantage or access to additional resources.
Depending on the permissions level of the vulnerable remote service, an adversary may achieve Exploitation for Privilege Escalation as a result of lateral movement exploitation as well.
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.
Application State · source-mapped
DC0123 collection page — Instrument the owned app lifecycle and corroborate permitted service snapshots; distinguish app events from inferred gateway activity.
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, state_before, state_after, source.
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": "DC0123",
"collector": "illustrative-lab-collector",
"observation": {
"package": "test.example.lab",
"state_before": "background",
"state_after": "foreground",
"source": "own_app_callback"
}
}
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.
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.
Network Traffic Content · source-mapped
DC0085 collection page — Scope approved packet capture/protocol content collection to the lab flow; retain capture provenance and truncation indicators.
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.
- 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: flow_id, protocol, method, path, payload_excerpt.
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": "DC0085",
"collector": "illustrative-lab-collector",
"observation": {
"flow_id": "lab-flow-1",
"protocol": "http",
"method": "GET",
"path": "/lab-check",
"payload_excerpt": "LAB_TELEMETRY_CHECK"
}
}
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.