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MITRE D3FEND™ Learning Center

D3-CA — Certificate Analysis

Analyzing Public Key Infrastructure certificates to detect if they have been misconfigured or spoofed using both network traffic, certificate fields and third-party logs.

6Enterprise inferred
2Direct children
1Parent technique
1Related artifact

Detect · D3FEND ontology 1.6.0 · Active

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Official D3FEND definition

Definition

Analyzing Public Key Infrastructure certificates to detect if they have been misconfigured or spoofed using both network traffic, certificate fields and third-party logs.

Official D3FEND knowledge-base content

How it works

Certificate Analysis ensures that the data elements of the certificate are current and anchored in a known trust model. Certificate authorities, revocation lists, and third-party secure logs are used in the analysis. Analysis includes detection of server impersonation, phishing domains, and forged certificates.

TLS certificates are designed to expire to ensure that the cryptographic keys are forced to be changed on a regular basis. The certificates in the trust path also expire and can cause a break in the trust chain. This means that even if a server certificate is updated correctly, intermediate certificates can expire and the trust chain is not maintained. This can cause services to become unavailable.

Bare Metal Cyber interpretation

Implementation perspective

Certificate 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 Certificate File.

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

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

analyzesCertificate File
Show inferred artifact relationship paths (1)
Certificate AnalysisanalyzesCertificate File
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 (6)
Source record

Authoritative sources