Definition
Analyzing standard inter process communication (IPC) protocols to detect deviations from normal protocol activity.
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.
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.
Technique hierarchy
Top-level family
Parent techniques
Direct child techniques
None listed at this level.
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
Show inferred artifact relationship paths (1)
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)
Authoritative sources
- Open this technique on the official D3FEND website ↗
- Open the official ontology resources ↗
- CAR-2015-04-001: Remotely Scheduled Tasks via AT ↗MITRE · MITRE · ExternalKnowledgeBase
- CAR-2013-05-005: SMB Copy and Execution ↗ExternalKnowledgeBase
- CAR-2013-01-003: SMB Events Monitoring ↗MITRE · MITRE · ExternalKnowledgeBase
- CAR-2013-09-003: SMB Session Setups ↗MITRE · MITRE · ExternalKnowledgeBase
- CAR-2014-03-001: SMB Write Request - NamedPipes ↗MITRE · MITRE · ExternalKnowledgeBase
- CAR-2013-05-003: SMB Write Request ↗ExternalKnowledgeBase
- Security System with Methodology for Interprocess Communication Control ↗Check Point Software Tech Inc · Gregor Freund · PatentReference
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