AN1865 Analytic 1865
No standard detection method currently exists for this technique.
Platforms: None.
No structured log-source mapping supplied by this analytic.
1200KM / simulation
Adversaries may steal operational information on a production environment as a direct mission outcome for personal gain or to inform future operations. This information may include design documents, schedules, rotational data, or similar artifacts that provide insight on operations. In the Bowman Dam incident, adversaries probed systems for operational data.
Adversaries may steal operational information on a production environment as a direct mission outcome for personal gain or to inform future operations. This information may include design documents, schedules, rotational data, or similar artifacts that provide insight on operations. In the Bowman Dam incident, adversaries probed systems for operational data. [Mark Thompson March 2016] [Danny Yadron December 2015]
Official technique definition · Open in the interactive matrix
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.
proposed-operational-document-access-audit collection page — Enable document-read/download audit on the lab repository; retain document ID, identity and result without storing document bodies.
Required normalized fields: document_id, actor, action, result.
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-operational-document-access-audit",
"collector": "illustrative-lab-collector",
"observation": {
"document_id": "lab-procedure-1",
"actor": "lab-reader",
"action": "download",
"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.
proposed-egress-and-transfer-records collection page — Collect outbound flow/proxy/application transfer metadata with direction and bytes; distinguish application exports from network delivery.
Required normalized fields: source, destination, direction, bytes_sent.
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-egress-and-transfer-records",
"collector": "illustrative-lab-collector",
"observation": {
"source": "192.0.2.10",
"destination": "198.51.100.20",
"direction": "outbound",
"bytes_sent": 128
}
}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.
Open the dedicated detection workspace · Existing query engineering
No standard detection method currently exists for this technique.
Platforms: None.
No structured log-source mapping supplied by this analytic.
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.
No exact technique-specific Atlas model is present for T0882 in the selected source snapshot. The following is a design worksheet, not a newly validated model.
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.
Anomaly Detection Atlas · Baseline, validation and blind spots
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.
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.
Duqu's purpose is to gather intelligence data and assets from entities such as industrial infrastructure and system manufacturers, amongst others not in the industrial sector, in order to more easily conduct a future attack against another third party.[Symantec W32.Duqu]
Exact relationship: relationship--792324b4-064a-430c-8ffc-7f7acd537778Flame can collect AutoCAD design data and visio diagrams as well as other documents that may contain operational information. [Kevin Savage and Branko Spasojevic]
Exact relationship: relationship--79d05cb2-ded0-4847-b52e-af7af421f303REvil sends exfiltrated data from the victims system using HTTPS POST messages sent to the C2 system. [McAfee Labs October 2019] [SecureWorks September 2019]
Exact relationship: relationship--6ed07095-c23a-4676-807f-a544deaeb274ACAD/Medre.A can collect AutoCad files with drawings. These drawings may contain operational information. [ESET]
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.
Download synthetic collection fixture (JSON) · Download the complete engineering workbook
This fixture exercises the listed collection fields. It does not reproduce Theft of Operational Information, 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.
All-page audit and evidence inventory · This page’s machine-readable workbook
Pinned MITRE STIX source · SHA-256 c9ca0ce523a1b5e512060a390415e8aefe8f6d32c5f82d7de81264960c1e1183. Definition and procedure context are reproduced from this snapshot, not independently re-investigated incidents.
Apply DLP to protect the confidentiality of information related to operational processes, facility locations, device configurations, programs, or databases that may have information that can be used to infer organizational trade-secrets, recipes, and other intellectual property (IP).
Example mitigations could include minimizing its distribution/storage or obfuscating the information (e.g., facility coverterms, codenames). In many cases this information may be necessary to support critical engineering, maintenance, or operational functions, therefore, it may not be feasible to implement.
Protect files stored locally with proper permissions to limit opportunities for adversaries to interact and collect information from databases. [Keith Stouffer May 2015] [National Institute of Standards and Technology April 2013]
Encrypt any operational data with strong confidentiality requirements, including organizational trade-secrets, recipes, and other intellectual property (IP).
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.