Definition
Analyzing email or instant message content to detect unauthorized activity.
Technique Overview
Email and messaging are frequently used to deliver malicious content to targets. These enterprise capabilities are used to deliver software exploits or social engineering tricks. If the recipient of a message trusts the sender, attackers can avoid escalating suspicion.
Emails and messages are also complex data structures. They contain files and links, and complex data encodings which vary region to region. Thus the defensive techniques used to analyze emails and messages are highly varied ranging from deep content analysis and execution to social network graph-style analytics to analyze trust or risk.
Implementation perspective
Message 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 Email.
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
None listed at this level.
Direct child techniques
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.
Show inferred artifact relationship paths (2)
NIST SP 800-53 relationships
The relation label is preserved from the D3FEND ontology. It is not converted into a claim that the control automatically implements or validates this technique.
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 (4)
ATT&CK for ICS (1)
Authoritative sources
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