Eliminate architectural blind spots before shipping code. Model system boundaries, evaluate attack vectors across all six STRIDE categories (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege), calculate quantitative DREAD risk indices, and generate auditor-ready Markdown documentation.
Load an industry reference model or construct your own STRIDE & DREAD canvas.
Impersonating someone or something else, forging identity tokens, or credential theft.
Malicious modification of code, configuration, network packets, or database records.
Claiming not to have performed an action, lacking immutable audit trails or digital signatures.
Exposing data to unauthorized entities, credential leaks, unencrypted transit, or verbose errors.
Denying service to valid users, compute exhaustion, DDoS attacks, or memory leaks.
Gaining capabilities without proper authorization, RBAC bypass, or root/admin takeover.
Adversary signs counterfeit JWTs using algorithm: 'none' or brute-forced symmetric HMAC keys to impersonate store administrators.
Unsanitized user inputs in elastic/relational search endpoints allow adversaries to modify queries and exfiltrate user tables.
Checkout service writes mutable application logs without cryptographic hash chaining, allowing malicious insiders to delete purchase evidence.
Unencrypted session tokens stored in in-memory Redis instances or unmasked PII serialized in error traces expose customer records.
High-volume stream reset flooding overwhelms the edge reverse proxy and starves legitimate customer checkout transactions.
Standard users modify the orderId parameter on `/api/v1/orders/{id}/refund` to process refunds for arbitrary accounts.