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Security: garrytan/gbrain

Security

SECURITY.md

Security

Reporting Vulnerabilities

If you discover a security issue in GBrain, please report it privately by opening a private security advisory on GitHub.

Do not open a public issue for security vulnerabilities.

Remote MCP Security

⚠️ Do NOT use open OAuth client registration for remote MCP

If you deploy GBrain's MCP server behind an HTTP wrapper with OAuth 2.1 support, never allow unauthenticated client registration. An attacker who discovers your server URL can:

  1. Register a new OAuth client via POST /register
  2. Use client_credentials grant to obtain a bearer token
  3. Access all brain data via the MCP tools

Recommended: gbrain serve --http

As of v0.22.7, GBrain ships a built-in HTTP transport that uses the existing access_tokens table for authentication:

# Create a token
gbrain auth create "my-client"

# Start the HTTP server
gbrain serve --http --port 8787

# Connect via ngrok, Tailscale, or any tunnel
ngrok http 8787 --url your-brain.ngrok.app

This is the recommended way to expose GBrain remotely. No OAuth, no registration endpoint, no self-service tokens. Tokens are managed exclusively via gbrain auth create/list/revoke.

If you must use a custom HTTP wrapper

  1. Require a secret for client registration — check a header or body parameter before creating new OAuth clients
  2. Disable client_credentials grant — only allow authorization_code with browser-based approval
  3. Restrict scopes — never issue tokens with unlimited scope
  4. Log all token issuance — alert on unexpected registrations
  5. Rate-limit registration and token endpoints

Pre-registering claude.ai / ChatGPT clients without DCR (v0.41.3+)

The recommended hardening posture above is: ship gbrain serve --http without --enable-dcr and pre-register every client manually. As of v0.41.3, gbrain auth register-client accepts the OAuth fields browser-based clients need:

# Pre-register claude.ai (confidential client; two redirect URIs)
gbrain auth register-client claude-ai \
  --scopes "read write" \
  --redirect-uri https://claude.ai/api/mcp/auth_callback \
  --redirect-uri https://claude.com/api/mcp/auth_callback
# --grant-types is auto-set to authorization_code,refresh_token when
# --redirect-uri is passed; pass --grant-types explicitly to override.

# Pre-register ChatGPT (public PKCE client; no client_secret minted)
gbrain auth register-client chatgpt \
  --scopes "read write" \
  --redirect-uri https://chatgpt.com/connector/oauth/<HASH> \
  --token-endpoint-auth-method none

Auth methods (--token-endpoint-auth-method):

  • client_secret_post (default) — confidential client, secret in body
  • client_secret_basic — confidential client, secret in Authorization header
  • none — public PKCE-only client (no secret minted; ChatGPT custom connector, Claude Code, Cursor)

The validator rejects unknown methods at the registration boundary, and the same gate applies to the admin endpoint POST /admin/api/register-client and the DCR POST /register path. Pre-v0.41.3 the CLI hard-coded redirect_uris = [] and token_endpoint_auth_method = NULL, forcing operators to UPDATE oauth_clients rows by hand to make claude.ai work without --enable-dcr. That footgun is gone.

Token Management

gbrain auth create "claude-desktop"   # Create a new token
gbrain auth list                       # List all tokens
gbrain auth revoke "claude-desktop"    # Revoke a token
gbrain auth test <url> --token <tok>   # Smoke-test a remote server

Tokens are stored as SHA-256 hashes in the access_tokens table. The plaintext token is shown once at creation and never stored.

gbrain serve --http hardening (v0.22.7+)

The built-in HTTP transport ships with several layers of hardening on by default. All env vars below are optional; the defaults are intentionally conservative.

Bind address (v0.34: loopback by default)

gbrain serve --http listens on 127.0.0.1 by default. Personal-laptop installs cannot accidentally publish the brain to the LAN. Self-hosted deployments that need remote access pass --bind 0.0.0.0 (all interfaces) or --bind <interface-ip> (specific NIC). A stderr WARN fires when --public-url is set without --bind so the operator sees the binding before the first request — common cause of "ngrok forwards to me but the agent can't reach the upstream" misconfigurations.

Postgres-only

gbrain serve --http requires a Postgres engine. PGLite is local-only by design and the access_tokens / mcp_request_log tables don't exist in the PGLite schema. Local agents continue to use stdio (gbrain serve). Running --http against a PGLite-backed install fails fast with a clear error message at startup.

CORS

Default-deny: no Access-Control-Allow-Origin header is sent unless an allowlist is configured. To allow browser-based MCP clients:

GBRAIN_HTTP_CORS_ORIGIN=https://claude.ai gbrain serve --http --port 8787
# Multiple origins: comma-separated
GBRAIN_HTTP_CORS_ORIGIN=https://claude.ai,https://your.app gbrain serve --http

When the request Origin matches the allowlist, the server echoes it back in Access-Control-Allow-Origin (with Vary: Origin). Otherwise no CORS header is sent and the browser blocks the request.

v0.41.3: the same allowlist now gates every OAuth endpoint (/mcp, /token, /authorize, /register, /revoke). Pre-v0.41.3 these used default-wide-open cors() middleware, leaking Access-Control-Allow-Origin: * on every response — any web origin could complete a token exchange from a logged-in operator's browser. The CORS preflight handler in the legacy bearer transport was also asymmetric (actual-request path correctly default-deny, but OPTIONS preflight leaked Access-Control-Allow-Methods + Access-Control-Allow-Headers to every Origin); both are now consolidated through a single allowlist-gated path. A startup stderr WARN fires when --bind 0.0.0.0 is set without GBRAIN_HTTP_CORS_ORIGIN, surfacing the default-deny posture before the first request.

Rate limiting

Two buckets, both stored in a bounded LRU map (default 10K keys, evicts least-recently-used on overflow, prunes entries older than 2× the window):

Bucket When it fires Default Env var
Pre-auth IP Before the DB lookup, on every /mcp request 30 req / 60s GBRAIN_HTTP_RATE_LIMIT_IP
Post-auth token After a valid token is resolved 60 req / 60s GBRAIN_HTTP_RATE_LIMIT_TOKEN
LRU cap Maximum distinct keys across both buckets 10000 GBRAIN_HTTP_RATE_LIMIT_LRU

On exhaustion the server returns 429 Too Many Requests with a Retry-After header.

Caveat for tunneled deployments (ngrok, Tailscale Funnel, Cloudflare Tunnel): all requests share one egress IP, so the pre-auth IP bucket becomes effectively shared by all clients on that tunnel. The post-auth token-id bucket is the load-bearing limiter for tunnel-fronted deployments.

Reverse-proxy trust

Loopback-only by default (v0.41.3+ Express server agrees with the legacy transport; pre-v0.41.3 the Express server hardcoded 'loopback' while docs claimed "disabled by default" — that disagreement is gone). The default trusts only same-host proxies (127.0.0.1, ::1, fc00::/7); external forwarded-for headers are ignored regardless. To widen or narrow trust:

# Trust exactly one hop — Fly.io, Render, Vercel, single-layer nginx
GBRAIN_HTTP_TRUST_PROXY=1 gbrain serve --http --port 8787

# Trust N hops — Cloudflare → nginx → gbrain
GBRAIN_HTTP_TRUST_PROXY=2 gbrain serve --http --port 8787

# Disable entirely — direct-exposure deployment with no proxy
GBRAIN_HTTP_TRUST_PROXY=0 gbrain serve --http --port 8787

# Named Express modes (uniquelocal, linklocal) or CIDR lists pass through
GBRAIN_HTTP_TRUST_PROXY=uniquelocal gbrain serve --http --port 8787
GBRAIN_HTTP_TRUST_PROXY="10.0.0.0/8,192.168.1.0/24" gbrain serve --http --port 8787

Both transports (Express OAuth server in src/commands/serve-http.ts and the legacy bearer transport in src/mcp/http-transport.ts) read the same env var, so single source of truth.

Critical safety contract: only widen past 'loopback' when both of these are true:

  1. gbrain is reachable only via a trusted reverse proxy (not directly exposed to the internet on the configured port). As of v0.34 gbrain serve --http binds 127.0.0.1 by default, so the reverse-proxy-only posture is the out-of-the-box shape; only override with --bind 0.0.0.0 (or a specific interface IP) when gbrain itself needs to accept remote connections directly.
  2. The proxy strips any client-supplied X-Forwarded-For and X-Real-IP headers, then sets them itself. (nginx with proxy_set_header X-Forwarded-For $remote_addr does this; Cloudflare and most cloud load balancers handle it automatically.)

If gbrain is reachable directly AND GBRAIN_HTTP_TRUST_PROXY=1 (or any non-loopback value) is set, clients can spoof their IP by sending arbitrary X-Forwarded-For headers, defeating the pre-auth IP rate limit. The 'loopback' default protects against this by ignoring all forwarded-for headers and using the socket peer address.

Body size cap

Default 1 MiB, stream-counted (chunked transfers without Content-Length are still capped). Override:

GBRAIN_HTTP_MAX_BODY_BYTES=2097152 gbrain serve --http   # 2 MiB

Over-cap requests get 413 Payload Too Large immediately, before any body is materialized in memory.

Audit log

Every /mcp request writes one row to mcp_request_log:

psql "$DATABASE_URL" -c \
  "SELECT created_at, token_name, operation, status, latency_ms
   FROM mcp_request_log
   ORDER BY created_at DESC LIMIT 100"

status is one of: success, error, auth_failed, rate_limited, body_too_large, parse_error, unknown_method. Failed-auth rows have token_name = NULL. Inserts are fire-and-forget so audit failures never block requests.

v0.26.9 redaction default. The params column now stores {redacted, kind, declared_keys, unknown_key_count, approx_bytes} instead of raw JSON-RPC payloads. Declared keys (intersected against the operation's spec) preserve for debug visibility; unknown keys are counted but never named so attackers can't probe key existence; byte sizes bucket to 1KB so content sizes can't be binary-searched. The same shape is broadcast on the admin SSE feed at /admin/events. Operators on a personal laptop who want raw payloads back can pass gbrain serve --http --log-full-params (loud stderr warning at startup). Multi-tenant deployments should leave it on the redacted default.

There aren't any published security advisories