AN1879: Analytic 1879
Various techniques enable spoofing a reporting message. Consider monitoring for Rogue Master and Adversary-in-the-Middle activity which may precede this technique. Monitor asset logs for alarms or other information the adversary is unable to directly suppress. Relevant alarms include those from a loss of communications due to Adversary-in-the-Middle activity. Various techniques enable spoofing a reporting message. Monitor for LLMNR/NBT-NS poisoning via new services/daemons which may be used to enable this technique. For added context on adversary procedures and background see Name Resolution Poisoning and SMB Relay. Spoofed reporting messages may be detected by reviewing the content of automation protocols, either through detecting based on expected values or comparing to other out of band process data sources. Spoofed messages may not precisely match legitimate messages which may lead to malformed traffic, although traffic may be malformed for many benign reasons. Monitor reporting messages for changes in how they are constructed.
Various techniques enable spoofing a reporting message. Consider monitoring for Rogue Master and Adversary-in-the-Middle activity.
Analyst context for executives and security teams
This analytic matters because spoofed reporting messages in ICS can make operators and responders trust the wrong view of process or asset state. The ATT&CK text points defenders toward precursor activity such as Rogue Master and Adversary-in-the-Middle behavior, name-resolution poisoning context, loss-of-communications alarms, and inconsistencies in automation protocol messages. For leaders, the practical question is whether the organization can prove that critical reporting paths are monitored from more than one source, not just whether the primary system appears normal.
Executive priority
Prioritize this as an operational resilience and incident decision-making issue. If reporting can be spoofed, teams may delay response, misjudge process safety, or lack reliable evidence during an incident. Executives should ask whether SOC, OT operations, and incident response teams have independent telemetry for communications loss, asset alarms, automation protocol content, and out-of-band process data where available. Because no platform or tactic is specified for this analytic, investment decisions should be driven by local ICS architecture and the criticality of the reporting messages involved.
Technical view
SOC and OT detection teams should validate monitoring around the behaviors named in the ATT&CK description: Rogue Master activity, Adversary-in-the-Middle activity, LLMNR/NBT-NS poisoning indicators such as unexpected services or daemons, loss-of-communications alarms, and changes in the construction or content of automation protocol reporting messages. Detection logic should compare reported values against expected values and, where available, out-of-band process data sources. Treat malformed traffic as a useful signal but not a standalone finding, because the ATT&CK text notes benign causes are possible.
Likely telemetry
- ICS asset logs containing alarms and operational messages
- Loss-of-communications alarms or related availability events
- Automation protocol message content and structure
- Network evidence related to Adversary-in-the-Middle activity
- Evidence of Rogue Master activity
Detection direction
- Validate whether monitoring exists for precursor activity named by ATT&CK: Rogue Master and Adversary-in-the-Middle behavior.
- Review asset alarms that an adversary may be unable to directly suppress, especially communications-loss alarms.
- Compare automation protocol reporting messages against expected values and against independent process data where available.
- Tune detections for malformed or unusually constructed reporting messages, while accounting for benign malformed traffic.
- Look for newly introduced services or daemons that may support LLMNR/NBT-NS poisoning in environments where that context is relevant.
Mitigation priorities
- Establish an inventory of critical reporting paths and the alarms or process values used for operational decisions.
- Prioritize independent validation of high-consequence reporting data using asset logs, communications alarms, and out-of-band process sources where available.
- Harden monitoring for precursor conditions identified by ATT&CK, including Rogue Master and Adversary-in-the-Middle activity.
- Review exposure to name-resolution poisoning conditions and reduce unnecessary services or daemons where local architecture allows.
- Ensure incident response playbooks include procedures for questioning the integrity of reported ICS data during suspected spoofing or communications anomalies.
Analyst notes and limits
The supplied object is an ICS ATT&CK detection analytic, AN1879, associated with spoofed reporting message detection guidance in DET0746. The most useful relationship-driven context is embedded in the official description itself: Rogue Master, Adversary-in-the-Middle, and Name Resolution Poisoning and SMB Relay are referenced as related behaviors or background. No separate relationship objects were supplied.
ATT&CK provides no explicit platform, tactic, separate detection field, aliases, labels, or relationships for this analytic. The guidance is therefore directional rather than environment-specific. Local ICS protocols, asset types, network architecture, logging depth, and availability of out-of-band process data are required to determine actual coverage and tuning.
Analytic 1879
Various techniques enable spoofing a reporting message. Consider monitoring for Rogue Master and Adversary-in-the-Middle activity which may precede this technique. Monitor asset logs for alarms or other information the adversary is unable to directly suppress. Relevant alarms include those from a loss of communications due to Adversary-in-the-Middle activity. Various techniques enable spoofing a reporting message. Monitor for LLMNR/NBT-NS poisoning via new services/daemons which may be used to enable this technique. For added context on adversary procedures and background see Name Resolution Poisoning and SMB Relay. Spoofed reporting messages may be detected by reviewing the content of automation protocols, either through detecting based on expected values or comparing to other out of band process data sources. Spoofed messages may not precisely match legitimate messages which may lead to malformed traffic, although traffic may be malformed for many benign reasons. Monitor reporting messages for changes in how they are constructed.
Various techniques enable spoofing a reporting message. Consider monitoring for Rogue Master and Adversary-in-the-Middle activity.
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.
All related ATT&CK context
No relationships are available in the current normalized data for this object.
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 | 1.0 | Current bundle | f1ed0ab27cec… |
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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mitre-attack AN1879Open source URL
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