T0861: Point & Tag Identification
Adversaries may collect point and tag values to gain a more comprehensive understanding of the process environment. Points may be values such as inputs, memory locations, outputs or other process specific variables. [1] Tags are the identifiers given to points for operator convenience.
Collecting such tags provides valuable context to environmental points and enables an adversary to map inputs, outputs, and other values to their control processes. Understanding the points being collected may inform an adversary on which processes and values to keep track of over the course of an operation.
Analyst context for executives and security teams
Point & Tag Identification matters because tags and point values are the “map legend” of an industrial process. If an adversary can collect them, they may better understand which measurements, outputs, alarms, and control variables correspond to real operations. For leadership, this is less about a single alert and more about whether OT systems expose enough process context to help an intruder plan more precise follow-on activity.
Executive priority
Treat this as an OT visibility and access-control risk. Executives and risk owners should ask whether HMIs, PLCs, RTUs, IEDs, historians, control servers, data gateways, safety controllers, DCS controllers, and PACs limit who can read point/tag information and whether access to that information is logged. The business concern is cyber-physical readiness: loss of confidentiality around process context can make incident response harder and can increase the precision of later manipulation, even when no immediate operational impact is observed.
Technical view
ATT&CK does not provide an official detection description for T0861, but a related detection strategy, DET0788 Detection of Point & Tag Identification, is mapped to it. SOC, OT security, and IR teams should validate whether they can see abnormal point/tag browsing, bulk reads, configuration access, historian queries, or control-system enumeration across the targeted ICS assets. Detection should be baselined against legitimate engineering, commissioning, maintenance, backup, and historian collection activity to avoid treating normal operations as malicious.
Likely telemetry
- Protocol-aware OT network traffic showing reads, browse/enumeration behavior, or unusual access to process variables where supported
- HMI, control server, historian, data gateway, and engineering/configuration access logs where available
- Authentication and authorization logs for users, software processes, and devices accessing ICS data
- Firewall, gateway, segmentation, allowlist, and protocol-filtering logs between enterprise, DMZ, and control networks
- Configuration/project file access records that may expose tag databases or point mappings
Detection direction
- Confirm DET0788-aligned monitoring exists for point/tag identification behavior in the local OT architecture.
- Baseline normal tag and point access by HMIs, historians, control servers, gateways, engineers, and maintenance accounts.
- Tune for unusual source systems, new user or process identities, abnormal volume or timing of point reads, and access paths crossing segmentation boundaries.
- Correlate network observations with authentication events; unauthenticated or weakly attributed reads are a coverage gap.
- Account for false positives from engineering work, commissioning, backups, troubleshooting, and historian synchronization.
Mitigation priorities
- Prioritize Network Segmentation to restrict access to critical process control systems and limit enterprise-to-OT reachability.
- Enforce Authorization Enforcement and Access Management so only approved authenticated users, devices, and processes can read or manipulate ICS data.
- Require Human User Authentication and Software Process and Device Authentication where feasible for the environment.
- Use Network Allowlists and Filter Network Traffic, including protocol-aware filtering, to limit allowed connections, message types, rates, and expected communication paths.
- Use Communication Authenticity over untrusted networks to help verify sender identity and message integrity.
Analyst notes and limits
This technique is mapped to many core ICS assets, including HMI, PLC, RTU, IED, Data Historian, Control Server, Data Gateway, Safety Controller, DCS Controller, and PAC. ATT&CK also relates the behavior to Backdoor.Oldrea and INCONTROLLER software entries, but that should be used as threat-intelligence context rather than evidence of current activity in any specific environment.
The supplied ATT&CK object has no platforms, tactics, aliases, or official detection text, so detection and control guidance must be validated against the organization’s actual ICS protocols, asset inventory, logging capability, and operating procedures. This summary does not claim active exploitation or guaranteed detection coverage.
Point & Tag Identification
Adversaries may collect point and tag values to gain a more comprehensive understanding of the process environment. Points may be values such as inputs, memory locations, outputs or other process specific variables. [1] Tags are the identifiers given to points for operator convenience.
Collecting such tags provides valuable context to environmental points and enables an adversary to map inputs, outputs, and other values to their control processes. Understanding the points being collected may inform an adversary on which processes and values to keep track of over the course of an operation.
How security teams should use this page
Treat this object as behavior context, not an attribution claim. Validate the related groups, software, data sources, and mitigations against official ATT&CK relationships and your own telemetry before making control-coverage decisions.
Groups, software, and campaigns
S1045: INCONTROLLER
INCONTROLLER is custom malware that includes multiple modules tailored towards ICS devices and technologies, including Schneider Electric and Omron PLCs as well as OPC UA, Modbus, and CODESYS protocols. INCONTROLLER has the ability to discover specific devices, download logic on the devices, and exploit platform-specific vulnerabilities. As of September 2022, some security researchers assessed INCONTROLLER was developed by CHERNOVITE.[1][2][3][4][5]
S0093: Backdoor.Oldrea
Backdoor.Oldrea is a modular backdoor that used by Dragonfly against energy companies since at least 2013. Backdoor.Oldrea was distributed via supply chain compromise, and included specialized modules to enumerate and map ICS-specific systems, processes, and protocols.[1][2][3]
All related ATT&CK context
Mitigation direction
Object version and sync metadata
The fields below describe the current mirrored snapshot. When Glexia retains multiple ATT&CK source imports, you can open the table to compare the same object across releases (hashes and MITRE timestamps). For MITRE’s own release notes and roadmap, see ATT&CK resources — Updates .
Imported snapshots across ATT&CK releases (1)
| Release | Bundle imported | Object version | Modified | Status | Raw hash |
|---|---|---|---|---|---|
| 19.1 | 1.1 | Current bundle | 54c196c84d14… |
Mirrored ATT&CK source object
The raw object is retained through the mirrored ATT&CK source bundle and object hash. The raw endpoint returns the exact object from the mirrored bundle when available.
External references and citations
MITRE external references are preserved separately from Glexia analysis so citations remain traceable to their original source records.
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[1]
Dennis L. Sloatman September 2016
Dennis L. Sloatman 2016, September 16 Understanding PLC Programming Methods and the Tag Database System Retrieved. 2017/12/19
Open source URL -
[2]
mitre-attack T0861Open source URL
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