1200kmSECURITY RESEARCH
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T0826 Loss of Availability — Attack Simulation

Adversaries may attempt to disrupt essential components or systems to prevent owner and operator from delivering products or services. Adversaries may leverage malware to delete or encrypt critical data on HMIs, workstations, or databases. In the 2021 Colonial Pipeline ransomware incident, pipeline operations were temporally halted on May 7th and were not fully restarted until May 12th.

Complete technique description

Adversaries may attempt to disrupt essential components or systems to prevent owner and operator from delivering products or services. [Corero] [Michael J. Assante and Robert M. Lee] [Tyson Macaulay]

Adversaries may leverage malware to delete or encrypt critical data on HMIs, workstations, or databases.

In the 2021 Colonial Pipeline ransomware incident, pipeline operations were temporally halted on May 7th and were not fully restarted until May 12th. [Colonial Pipeline Company May 2021]

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.

Analyst-proposed lab instrumentation, not an official ATT&CK component mapping or a validated detection. It may observe effects without establishing malicious intent.

Asset availability monitoring · planning input

proposed-asset-availability-monitoring collection page — Define expected heartbeat interval and monitor independence; track missed polls without equating them to an attack.

Providers and collection configuration

  • Agree the measurement points, read-only interfaces, sampling intervals and safety boundary with the process owner. Use a simulator or non-production fixture.
  • Subscribe to supported audit/alarm events or approved historian exports. Preserve source timestamp, quality, engineering units, asset/tag identity and clock offset.
  • Compare independent measurements and record gaps/latency. Do not enable intrusive polling, change controller logic or alter safety setpoints merely to generate logs.

Required normalized fields: asset_id, reachable, last_seen_age_seconds.

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": "proposed-asset-availability-monitoring",
  "collector": "illustrative-lab-collector",
  "observation": {
    "asset_id": "lab-controller-1",
    "reachable": false,
    "last_seen_age_seconds": 60
  }
}

Visibility limits: There is no universal PLC event ID or configuration command. Visibility depends on vendor, protocol and process. An alarm or process deviation demonstrates an effect, not necessarily a cyberattack.

Production service health · planning input

proposed-production-service-health collection page — Collect service health from approved monitoring interfaces and process-owner records; distinguish collector failure from service failure.

Providers and collection configuration

  • Agree the measurement points, read-only interfaces, sampling intervals and safety boundary with the process owner. Use a simulator or non-production fixture.
  • Subscribe to supported audit/alarm events or approved historian exports. Preserve source timestamp, quality, engineering units, asset/tag identity and clock offset.
  • Compare independent measurements and record gaps/latency. Do not enable intrusive polling, change controller logic or alter safety setpoints merely to generate logs.

Required normalized fields: service, status, latency_ms, monitor_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": "proposed-production-service-health",
  "collector": "illustrative-lab-collector",
  "observation": {
    "service": "lab-historian",
    "status": "degraded",
    "latency_ms": 250,
    "monitor_healthy": true
  }
}

Visibility limits: There is no universal PLC event ID or configuration command. Visibility depends on vendor, protocol and process. An alarm or process deviation demonstrates an effect, not necessarily a cyberattack.

Detection rules and analytic guidance

Open the dedicated detection workspace · Existing query engineering

DET0729 Detection of Loss of Availability

MITRE detection strategy

AN1862 Analytic 1862

No standard detection method currently exists for this technique.

Platforms: None.

No structured log-source mapping supplied by this analytic.

Source rule directory and observation requirements

No exact-tagged Sigma source rule was imported. This does not establish that the technique is undetectable; the MITRE guidance and collection requirements remain relevant.

Before treating a rule as coverage

  1. Read the actual condition and logsource; identify attacker-side, victim-side or third-party visibility.
  2. Map native sensor fields, parse times and identities, then compile for the selected backend.
  3. Replay a behavior-positive case, a normal control, an authorized look-alike and a missing-telemetry case.
  4. Record matches and misses with rule version and source events. No match is inconclusive when required telemetry is absent.

Anomaly-based detection

No exact technique-specific Atlas model is present for T0826 in the selected source snapshot. The following is a design worksheet, not a newly validated model.

Anomaly engineering worksheet

Start from the exact analytic above. The collection-specific lenses below are analyst recommendations; they do not assert that an arbitrary statistical deviation detects this technique.

  • Industrial operations and physical process: Per asset, operating mode and engineering change window: deviations in command/state sequences, measurement residuals and communication freshness. Use a simulator or approved test rig; never generate hazardous physical effects.
  1. Define an entity/peer group and feature; exclude the evaluation period from baseline training.
  2. Use representative normal and maintenance activity. Do not invent a production threshold from a synthetic example.
  3. Evaluate held-out behavior-positive and benign cases; measure false positives, misses and telemetry loss separately.
  4. Keep abnormality separate from maliciousness. Correlate with the behavior-specific source evidence.

Anomaly Detection Atlas · Baseline, validation and blind spots

Attack tools and documented software

No reviewed lab-tool association is selected for this exact technique. This is a curation gap, not a statement that no tool can implement the behavior.

Software observed in source procedures

These are exact ATT&CK software-use relationships, including malware. They provide behavior context, not recommendations to download or execute malware. No safety or detector claim is inherited.

1 source-documented software associations

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

  1. Choose one procedure implementing T0826 Loss of Availability; identify the observable behavior in the source definition, not just its tactic.
  2. Record exact target, tool/version, inputs, privileges, network limits and approval. Never run an imported default target automatically.
  3. Enable the collection sources above and verify a benign baseline reaches the detector.
  4. Run only the approved isolated scenario; capture native events and an independent behavior observable.
  5. Evaluate the exact rule/model, restore the lab, and preserve configuration, event hashes, alerts, controls and misses.

Synthetic logs and offline contract check

Download synthetic collection fixture (JSON) · Download the complete engineering workbook

This fixture exercises the listed collection fields. It does not reproduce Loss of Availability, label its example events as malicious, or measure detection effectiveness. Use the exact analytic and selected procedure to build an independently labelled behavior-positive dataset.

Not run in this browser. No network scan or attack command is executed by this control.

Validation status and remaining work

Source identity
Joined by exact technique/object IDs against hash-pinned sources.
Collection fixture
Available for offline schema exercises; not attack emulation.
Native telemetry / backend / real attack
Not validated for these imported procedures. Source fidelity and page tests cannot establish sensor or detector effectiveness.

All-page audit and evidence inventory · This page’s machine-readable workbook

Sources and evidence boundaries

Pinned MITRE STIX source · SHA-256 c9ca0ce523a1b5e512060a390415e8aefe8f6d32c5f82d7de81264960c1e1183. Definition and procedure context are reproduced from this snapshot, not independently re-investigated incidents.

Source-linked mitigations
  • M0810 Out-of-Band Communications Channel

    Provide operators with redundant, out-of-band communication to support monitoring and control of the operational processes, especially when recovering from a network outage [National Institute of Standards and Technology April 2013]. Out-of-band communication should utilize diverse systems and technologies to minimize common failure modes and vulnerabilities within the communications infrastructure. For example, wireless networks (e.g., 3G, 4G) can be used to provide diverse and redundant delivery of data.

  • M0811 Redundancy of Service

    Hot-standbys in diverse locations can ensure continued operations if the primarily system is compromised or unavailable. At the network layer, protocols such as the Parallel Redundancy Protocol can be used to simultaneously use redundant and diverse communication over a local network. [M. Rentschler and H. Heine]

  • M0953 Data Backup

    Take and store data backups from end user systems and critical servers. Ensure backup and storage systems are hardened and kept separate from the corporate network to prevent compromise. Maintain and exercise incident response plans [Department of Homeland Security October 2009], including the management of gold-copy back-up images and configurations for key systems to enable quick recovery and response from adversarial activities that impact control, view, or availability.

Connected ecosystem references

Linked tags

Detection and collection

T0826 detection workspace

No reviewed association in this snapshot.

Pinned research references. No browser attack runner or production-validated detector is asserted. Imported procedures remain unvalidated; any bounded lab evidence has its own scope. ATT&CK / Atomic provenance · Detection provenance.