CodeGraph derives candidate assets, processes, data stores, flows, trust boundaries, and STRIDE threats from the current CPG. The output gives the professional threat-model review a structured starting point; the reviewer completes architecture and threat coverage.
Generate a baseline
python -m src.cli threat-model generate `
--format json `
--min-severity medium `
--output <threat-model.json>
The severity choices are --min-severity {low,medium,high,critical}. Preserve the project and
code revision with the JSON baseline.
Generate a data-flow diagram
python -m src.cli threat-model dfd --format mermaid --output <dfd.mmd>
Review inferred processes, stores, external entities, flows, and trust boundaries against the deployed architecture. An omitted component in the graph cannot appear in the diagram.
Inspect and filter threats
python -m src.cli threat-model list --severity high --category Tampering --format json
The severity filter is --severity {low,medium,high,critical} and --category accepts one
category value per invocation. Verify the category spelling with current --help.
Update from a reviewed baseline
python -m src.cli threat-model update --previous <threat-model.json> `
--changed-files <file-one> <file-two> `
--format json `
--output <threat-model-updated.json>
An incremental update is valid only when the previous model belongs to the expected revision and the changed-file list is complete. Otherwise generate a new baseline.
Review workflow
- Validate assets, flows, boundaries, deployment assumptions, and identities.
- Classify candidate threats and remove false positives with rationale.
- Bind mitigations to an owner, verification method, and due date.
- Retain unresolved threats and evidence gaps; do not convert them to Pass implicitly.
- Regenerate after architecture or trust-boundary changes.
Contract sources
src/cli/security_suite/threat_model_commands.py— generate/update/DFD/list parser;src/security/threat_model/— builder, STRIDE classifier, boundaries, and exporter;src/mcp/tools/security_suite/threat_model.py— authorized role-scoped tools;- generated REST reference — live API operations, if the deployment exposes them.