Threat Model: 0xj4f/genesis - Triple redundancy + code validation

[0xj4f]

Final Validation - Threat Model

Corrected Executive Summary

The repository implements a FastAPI‑based Identity & Access Management (IAM) service. Users authenticate through a /token endpoint that returns a JWT access‑token and a JWT refresh‑token, both signed with a symmetric HS256 secret (SECRET_KEY). User and profile data are stored in a MySQL database via SQLAlchemy ORM. The service runs inside a Docker container and is exposed to the Internet (CORS is configured with origins = ["*"]).

A systematic validation of the three draft threat‑model reports against the actual source files reveals that 10 of the originally reported threats are valid, one is not applicable, and one additional threat was missing. The table below shows the corrected, canonical threat list together with the DREAD scores that were already supplied by the original reports (all scores are unchanged because the reports agreed on them).

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2. Corrected Threat Mapping Table

Canonical ID	Original IDs	STRIDE	Validated Description (merged wording)	DREAD (as reported)
C‑T1	T1 (all three reports)	Spoofing	The SECRET_KEY used to sign JWTs is either weak, leaked, or hard‑coded (app/auth/auth.py line 9). An attacker who learns this key can create arbitrary JWTs and impersonate any user.	Damage 9, Reproducibility 8, Exploitability 9, Affected Users 9, Discoverability 8 → 43 (Critical)
C‑T2	T2 (all three reports)	Spoofing	The /token endpoint accepts a username and password without any throttling; an attacker can perform password‑brute‑force or credential‑stuffing attacks to obtain valid credentials.	Damage 6, Reproducibility 9, Exploitability 7, Affected Users 7, Discoverability 8 → 37 (High)
C‑T4	T4 (all three reports)	Tampering	JWT payloads (sub, user_id, etc.) can be altered because token verification relies solely on the symmetric secret and does not bind the payload to a stored jti. An attacker who can forge a token (see C‑T1) can also change claims to gain unauthorized privileges.	Damage 8, Reproducibility 8, Exploitability 8, Affected Users 9, Discoverability 8 → 41 (Critical)
C‑T5	T5 (all three reports)	Repudiation	The application never records authentication attempts, token issuance, or token validation events (no logging besides generic INFO messages). Lack of audit trails lets users deny actions and hampers forensic analysis.	Damage 5, Reproducibility 10, Exploitability 5, Affected Users 7, Discoverability 6 → 33 (High)
C‑T6	T6 (all three reports)	Information Disclosure	Debug print statements in oauth_authenticate_current_user and oauth_authenticate_internal_service output raw JWTs and usernames to STDOUT / logs (app/auth/auth.py lines 46‑55). Anyone with log access can harvest credentials.	Damage 6, Reproducibility 9, Exploitability 9, Affected Users 8, Discoverability 9 → 41 (Critical)
C‑T7	T7 (all three reports)	Information Disclosure	CORS is configured with a wildcard (origins = ["*"]) in app/main.py, allowing any web origin to read API responses and potentially harvest confidential data.	Damage 4, Reproducibility 9, Exploitability 8, Affected Users 9, Discoverability 8 → 38 (High)
C‑T8	T8 (all three reports)	Information Disclosure	The default SECRET_KEY value (0f2883…) is hard‑coded in source (app/auth/auth.py line 9). An attacker who inspects the repository can obtain the signing key directly.	Damage 8, Reproducibility 9, Exploitability 9, Affected Users 9, Discoverability 10 → 45 (Critical)
C‑T9	T9 (all three reports)	Denial of Service	No rate‑limiting or request‑throttling is implemented on the /token endpoint or any other public endpoint; an attacker can flood the service with credential‑guessing requests, exhausting CPU/memory. Evidence: absence of any middleware or code that limits request rates.	Damage 5, Reproducibility 8, Exploitability 9, Affected Users 7, Discoverability 7 → 36 (High)
C‑T10	T10 (all three reports)	Denial of Service	List endpoints such as GET /users (app/routes/users.py → get_users) return the full result set without pagination or size limits, allowing an attacker to trigger very large queries (SELECT * FROM users) that can consume excessive DB/CPU resources.	Damage 5, Reproducibility 7, Exploitability 7, Affected Users 8, Discoverability 6 → 33 (High)
C‑T11	T11 (all three reports)	Elevation of Privilege	Refresh tokens are accepted without any revocation or reuse‑prevention check (app/services/auth_service.py refresh_access_token_service). A stolen refresh token can be presented repeatedly to obtain fresh access tokens.	Damage 8, Reproducibility 8, Exploitability 8, Affected Users 9, Discoverability 7 → 40 (Critical)
C‑T12	T12 (all three reports)	Elevation of Privilege	The internal‑service authentication (oauth_authenticate_internal_service) validates the JWT payload but does not check whether the user is disabled. A valid token belonging to a disabled account can therefore be used for internal API calls.	Damage 7, Reproducibility 7, Exploitability 7, Affected Users 8, Discoverability 6 → 35 (High)
C‑T13 (new)	–	Information Disclosure	The database connection string contains a hard‑coded default password (SECURE_PASSWORD) in app/database/session.py (line 7). If the environment variables are not overridden, the service will connect using this known credential, which can be discovered by reading the source.	Damage 7, Reproducibility 9, Exploitability 9, Affected Users 9, Discoverability 10 → 44 (Critical)

Reason for Removal

Removed ID	Reason (code‑based)
C‑T3 (original “SQL injection / ORM abuse”)	All data access is performed via SQLAlchemy ORM with parameterised filters (filter(... == ...)). No raw SQL strings are constructed from user‑controlled input, so classic SQL‑injection is not feasible. Evidence: app/services/profile_service.py, app/database/profile_db_interface.py, app/database/user_db_interface.py all use safe ORM calls. Therefore the threat is invalid for this codebase.

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3. Consolidated Mitigation Ideas (merged & de‑duplicated)

1. Key Management

   • Replace the symmetric HS256 secret with asymmetric signing (RS256). Store the private key in a secret‑management system (Vault, AWS Secrets Manager) and enforce a kid header for key rotation.
   • Remove the hard‑coded SECRET_KEY fallback value from app/auth/auth.py. Fail fast if the environment variable is missing.

2. Secret / Credential Hygiene

   • Eliminate the default database password (SECURE_PASSWORD) from app/database/session.py; require the password to be supplied securely at deployment time.
   • Do not ship any default credentials or secrets in source code.

3. Logging & Auditing

   • Delete all print debug statements (app/auth/auth.py lines 46‑55).
   • Implement structured audit logging for authentication attempts, token issuance, token validation, refresh‑token use, and revocation. Forward logs to an immutable store (e.g., CloudWatch with retention, ELK with write‑once policy).

4. Input Validation & Payload Integrity

   • Continue using Pydantic models for request bodies (already present).
   • Enforce strict claim verification when decoding JWTs: check iss, aud, exp, nbf, jti, and optionally a disabled claim. Reject tokens with missing/altered claims.

5. Refresh‑Token Lifecycle

   • Persist refresh tokens in a database table with a revoked flag. On each successful refresh, rotate the refresh token and set the previous one to revoked.
   • Enforce a reasonable refresh‑token TTL (e.g., 7 days) and provide an endpoint to revoke all tokens for a user upon password change or account disable.

6. Disabled‑Account Enforcement

   • Extend oauth_authenticate_internal_service to verify the user’s disabled flag (reuse get_user_by_username_db), rejecting internal‑service calls for disabled accounts.

7. Rate Limiting & Throttling

   • Add a rate‑limiting middleware (e.g., slowapi, starlette‑rate‑limit, or API‑gateway limits) on the /token endpoint and on any public endpoint that can be abused (login, password reset, etc.).
   • Implement account‑lockout after a configurable number of consecutive failed logins.

8. Pagination & Query Bounds

   • Introduce cursor‑based or offset pagination on list endpoints (GET /users, GET /profiles).
   • Impose a maximum LIMIT (e.g., 100 rows) for any query that returns collections.

9. CORS Hardening

   • Replace the wildcard origin list in app/main.py with an explicit whitelist of trusted front‑ends.
   • Set allow_credentials=False unless cookie‑based auth is required.

10. Container & Supply‑Chain Hardening (outside of code but recommended)

    • Use a minimal, officially‑signed base image.
    • Enable seccomp/AppArmor profiles for the container.
    • Sign container images and verify signatures at deployment.

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4. Notes for Security Reviewer

• Evidence of hard‑coded secrets – app/auth/auth.py line 9 (SECRET_KEY = os.getenv(..., "0f2883…")) and app/database/session.py line 7 (DATABASE_PASSWORD = os.getenv(..., "SECURE_PASSWORD")).
• Debug output – print(f"token: {token}"), print(token), print(username), and print(f"db user: {user}") in oauth_authenticate_current_user; print(payload) in oauth_authenticate_internal_service.
• CORS configuration – origins = ["*"] in app/main.py and subsequent CORSMiddleware call.
• Refresh‑token handling – refresh_access_token_service in app/services/auth_service.py creates new tokens without checking a revocation store.
• Disabled‑account check omission – oauth_authenticate_internal_service validates only the JWT payload, never the disabled flag.
• Absence of rate limiting – No import or use of any throttling library; endpoints are plain FastAPI routes.
• Absence of pagination – get_users returns self.get_all_users_service(db) which calls db.query(User).all() without limits.
• SQL‑injection not applicable – All database interactions use SQLAlchemy ORM filters with bound parameters; no raw string concatenation.
• Potential for token replay – JWTs contain a jti claim but the value is never stored or checked; combined with missing revocation, this enables replay attacks (covered by C‑T11).

The reviewer should verify that the suggested mitigations are implemented in the appropriate layers (application code, deployment configuration, and CI/CD pipelines) and that any added components (e.g., token store, rate‑limit middleware) are correctly wired into the FastAPI dependency graph.