Extend the gateway integration suite with three previously unexercised runtime paths. All three share testing/static/scripts/gateway-test.sh and testing/static/docker-compose.yml so they land as one commit. 6A — UDP port forwarding runtime path. Add udp 18081 -> [fd02::20]:8081 to inject_gateway_config() and a phase-7 case where gw-client runs an inline Python UDP echo server bound [::]:8081 and gw-server sends a UDP probe to [GW_MESH_IP]:18081 via inline python3, asserting the echoed payload prefix. The config layer already accepted proto: udp (test_port_forwards_same_port_different_proto_ok) but the UDP NAT rule shape and conntrack handling differ from TCP and were unverified. Uses Python rather than socat because fips-test:latest does not ship socat; nc -u IPv6 round-trip semantics are messier than a Python one-liner. 6B — Second simultaneous TCP forward. Add tcp 18082 -> [fd02::20]:8081 alongside the existing 18080 forward. Phase 7 now greps the daemon's nft DNAT table for all three rules (18080, 18082, 18081) and runs HTTP fetches through both TCP forwards with distinct backend payloads (inbound-forward-ok vs inbound-forward-ok-2) so a misrouted response fails the assertion. 11A — Concurrent multi-client flows. Add gw-client-2 service to docker-compose mirroring gw-client (IPv6 fd02::21, IPv4 172.20.1.21). Phase 3 sets the fd01::/112 route on both. Phase 4 issues DNS lookups from both, asserts they receive distinct virtual IPs, and queries the gateway control socket (show_mappings) to confirm exactly 2 active mappings (5-attempt retry loop tolerates snapshot-publish lag). Phase 5 launches both curl requests concurrently as background processes, asserts each response. Validates concurrent NAT mappings, pool contention, proxy NDP under simultaneous LAN-client traffic — all real-world deployment shape that was not pinned. Phase 8 reclamation timing unchanged (TTL=5s, grace=5s, 25s wait covers both mapping ticks generously even with a slight stagger).
FIPS Testing
Integration and simulation test harnesses for FIPS, using Docker containers running the full protocol stack.
Test Harnesses
static/ -- Static Docker Network
Fixed topologies with manual scripts for building, config generation, connectivity tests (ping, iperf), and network impairment (netem). Useful for deterministic debugging and validating specific topology configurations.
| Topology | Nodes | Transport | Description |
|---|---|---|---|
| mesh | 5 | UDP | Sparse mesh, 6 links, multi-hop |
| chain | 5 | UDP | Linear chain, max 4-hop paths |
| mesh-public | 5+1 | UDP | Mesh with external public node |
| tcp-chain | 3 | TCP | Linear chain over TCP (port 8443) |
| rekey | 5 | UDP | Rekey integration test topology |
tor/ -- Tor Transport Integration
End-to-end Tor transport testing with Docker containers running real Tor daemons. Requires internet access for Tor bootstrapping.
| Scenario | Description |
|---|---|
| socks5-outbound | Outbound SOCKS5 connections through Tor to clearnet peer |
| directory-mode | Inbound via HiddenServiceDir onion service (co-located) |
nat/ -- NAT Traversal Lab
Real Docker NAT traversal tests for the Nostr/STUN bootstrap path,
using router containers with iptables-based NAT, a local Nostr relay,
and a local STUN responder.
| Scenario | Description |
|---|---|
| cone | Two NATed peers establish a UDP traversal path |
| symmetric | UDP traversal fails under symmetric NAT, TCP fallback wins |
| lan | Peers on the same LAN prefer local addresses over reflexive |
chaos/ -- Stochastic Simulation
Automated network testing with configurable node counts, topology algorithms (random geometric, Erdos-Renyi, chain, explicit), and fault injection (netem mutation, link flaps, traffic generation, node churn). 20 scenarios covering general stress testing, cost-based parent selection, mixed link technologies (fiber/Bluetooth/WiFi), transport-specific validation (UDP, TCP, Ethernet), and ECN/congestion testing. Scenarios are defined in YAML and executed via a Python harness that manages the full lifecycle: topology generation, Docker orchestration, fault scheduling, log collection, and analysis.