Knowledge is Power

Sitewide Search

Search Bare Metal Cyber

Search exact control and technique identifiers, Cyber Wiki articles, framework records, playbooks, books, podcasts, Academy courses, and individual lessons.

MITRE D3FEND™ Learning Center

D3-IPCTA — IPC Traffic Analysis

Analyzing standard inter process communication (IPC) protocols to detect deviations from normal protocol activity.

1Enterprise inferred
1Parent technique
1Related artifact
7Source references

Detect · D3FEND ontology 1.6.0 · Active

Open official technique ↗
Official D3FEND definition

Definition

Analyzing standard inter process communication (IPC) protocols to detect deviations from normal protocol activity.

Official D3FEND knowledge-base content

How it works

Inter process communication enables applications or threads to share data. This can involve one or more computers. Monitoring IPC in your environment can reveal abnormal or malicious activity. IPC can occur within a single computer or between multiple computers remotely through network protocols. Thus there are multiple ways to collect and monitor these exchanges between processes. A network protocol analyzer may monitor and parse SMB network traffic to record system activity. A host based monitoring agent may monitor IPC activity contained within a single host to look for deviations from standard usages.

Examples

  • SMB
  • Zeromq
  • Java RMI API

Considerations

  • IPC can generate substantial amounts of data, and it may not be feasible to collect all of it.
  • IPC may occur over loopback interfaces or direct memory access granted by the operating system.
Bare Metal Cyber interpretation

Implementation perspective

IPC Traffic Analysis should be treated as a technical defensive capability rather than a product checkbox. In practice, teams should define the protected scope, the conditions under which the technique acts, and the observable evidence that demonstrates the intended behavior. For this technique, likely engineering context includes Intranet IPC Network Traffic.

Use the technique to identify suspicious, unauthorized, or abnormal activity through observable evidence and repeatable analysis.

Questions to ask

  • Which events, states, or artifacts must be observed for the analysis to work?
  • What analytic logic, threshold, comparison, or signature turns observations into a finding?
  • How are expected false positives, blind spots, and environmental variations documented?
  • Who receives the result, and what action is expected when the technique produces a finding?

Evidence and validation

  • Telemetry and data-source configuration records
  • Analytic logic, thresholds, signatures, and version history
  • Test cases demonstrating expected positive and negative results
  • Alert, triage, escalation, and tuning records

Common failure patterns

  • Required telemetry is missing, delayed, or transformed in a way that invalidates the analysis.
  • The technique produces alerts without an accountable triage and response process.
  • Detection coverage is claimed from product deployment without testing the relevant analytic behavior.

This implementation perspective is original Bare Metal Cyber educational content. It does not replace the official D3FEND definition or establish that a specific product implements the technique.

Ontology hierarchy

Technique hierarchy

Direct child techniques

None listed at this level.

D3FEND graph relationships

Artifacts and ontology entities

These relationships describe how D3FEND connects a defensive technique to artifacts or other ontology entities. They describe graph semantics, not a product certification.

Explicit technique relationships

analyzesIntranet IPC Network Traffic
Show inferred artifact relationship paths (1)
IPC Traffic AnalysisanalyzesIntranet IPC Network Traffic
Inferred and experimental

Offensive-technique relationships

These relationships are generated from D3FEND graph paths and are explicitly experimental. They should be treated as hypotheses for defensive analysis—not as proof that the technique prevents, detects, or removes an offensive behavior.

ATT&CK Enterprise (1)
Source record

Authoritative sources