Johnathan Corgan
43639fecb9
Cover the previously untested STUN client behavior under server
unreachable, response timeout, and packet loss. The 3 NAT scenarios
test happy paths only; if the STUN client mishandled a fault (panic,
hang, missing log signal), it would silently degrade NAT traversal
without surfacing in CI.
testing/nat/scripts/stun-faults-test.sh (new, 244 lines):
Phase 1 (drop, ~12s): tc prio + netem loss 100% band + u32 filter on
dst 172.31.10.40 udp 3478. Falls back to iptables -j DROP if netem
isn't available. Asserts daemon process alive, no panic, log line
matching stun.*(timed?out|fail|fallback|unreachable|no address)
within the phase window.
Phase 2 (delay then clear, ~17s): tc qdisc add dev eth0 root netem
delay 5000ms for 7s, then deleted. 10s settle. Asserts process alive,
no panic, AND "STUN observation succeeded" log line after clear
(recovery proof).
Phase 3 (kill, ~12s): docker stop fips-nat-stun. Asserts process
alive, no panic, fault evidence in logs.
testing/nat/docker-compose.yml: stun-faults profile adds two
services. stun-fault-node is fips-test:latest on shared-lan at
172.31.10.50. stun-fault-shim is fips-test:latest sharing the
daemon's network namespace via network_mode: service:stun-fault-
node, with cap_add NET_ADMIN, NET_RAW; entrypoint sleep infinity so
the script can docker exec into it. Reuses existing stun
(172.31.10.40:3478) and relay (172.31.10.30:7777) services.
testing/nat/scripts/generate-configs.sh: 3-hunk update so the
generator accepts the new scenario and points its peer config at the
existing relay/STUN. The peer is configured for connect_peer() so
the daemon retries traversal on a loop, repeatedly invoking
observe_traversal_addresses() — which is the fault-injection target.
testing/ci-local.sh: STUN_FAULTS_SUITES=(stun-faults) array,
run_stun_faults runner, list/integration-loop/--only-dispatch hooks.
.github/workflows/ci.yml: matrix row {suite: stun-faults, type:
stun-faults} + 3 steps gated on matrix.type == 'stun-faults' between
nostr-publish-consume and any chaos suite. Reuses fips-linux
artifact + fips-test:latest image.
Approach: script-driven via docker exec stun-fault-shim. Sharing
network namespace means tc rules on the shim's eth0 affect daemon
egress. No timing logic in the shim itself.
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.