refactor: move all remaining files to orig/ directory
Completed clean root directory structure: - Root now contains only: .git, .env, docs/, orig/ - Moved all remaining files and directories to orig/: - Config files (.claude, .dockerignore, .drone.yml, etc.) - All .env variants (except active .env) - Git config (.gitconfig, .github, .gitignore, etc.) - Tool configs (.golangci.yml, .revive.toml, etc.) - Documentation (*.md files, @prompts) - Build files (Dockerfiles, Makefile, go.mod, go.sum) - Docker compose files - All source directories (scripts, tests, tools, etc.) - Runtime directories (logs, monitoring, reports) - Dependency files (node_modules, lib, cache) - Special files (--delete) - Removed empty runtime directories (bin/, data/) V2 structure is now clean: - docs/planning/ - V2 planning documents - orig/ - Complete V1 codebase preserved - .env - Active environment config (not in git) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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# Full Audit Checklist — Go MEV Arbitrage Bot
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> Scope: a production-grade Go service that scans mempool/RPCs, finds arbitrage, constructs & signs transactions, and submits them (e.g., direct RPC, Flashbots bundles). Includes any on-chain smart-contracts the bot depends on (adapters, helpers, custom contracts).
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---
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## 1) Planning & scoping (before running tools)
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* ✅ Identify attack surface: private keys, RPC/WS endpoints, mempool sources, bundle relays (Flashbots), third-party libs, config files.
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* ✅ Define assets at risk (max ETH / tokens), operational windows, and which chains/nodes (e.g., Arbitrum, Ethereum).
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* ✅ Create test accounts with funded testnet funds and a forked mainnet environment (Anvil/Hardhat/Foundry) for reproducible tests.
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---
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## 2) Static analysis — Go (SAST / linters / vuln DB)
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Run these to find code smells, insecure patterns, and known vulnerable dependencies:
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* Tools to run: `gosec`, `govulncheck`, `staticcheck`, `golangci-lint`. (gosec and govulncheck are high-value for security.) ([GitHub][1])
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Example commands:
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```bash
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# gosec
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gosec ./...
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# govulncheck (requires Go toolchain)
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govulncheck ./...
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# staticcheck via golangci-lint
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golangci-lint run
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```
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What to look for:
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* Use of `crypto/rand` vs `math/rand`, insecure parsing of RPC responses, improper TLS skip verify, hard-coded secrets.
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* Unsafe use of `sync` primitives, race conditions flagged by go vet/staticcheck patterns.
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---
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## 3) Dynamic analysis & runtime checks — Go
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* Run `go test` with race detector and fuzzing (Go 1.18+ built-in fuzz):
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```bash
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# race detector
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go test -race ./...
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# fuzzing (example fuzz target)
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go test -fuzz=Fuzz -fuzztime=10m ./...
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```
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* Run integration tests on a mainnet-fork (Anvil/Foundry/Hardhat) so you can simulate chain state and mempool behaviours.
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* Instrument code with pprof and capture CPU/heap profiles during simulated high-throughput runs.
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What to look for:
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* Race detector failures, panics, deadlocks, goroutine leaks (goroutines that grow unbounded during workload).
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---
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## 4) Go security & dependency checks
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* `govulncheck` (re: vulnerable dependencies). ([Go Packages][2])
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* Dependency graph: `go list -m all` and search for unmaintained or forked packages.
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* Check for unsafe cgo or native crypto libraries.
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---
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## 5) Code quality & architecture review checklist
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* Error handling: ensure errors are checked and wrapped (`%w`) not ignored.
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* Context: all network calls accept `context.Context` with deadlines/timeouts.
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* Modularization: separate mempool ingestion, strategy logic, transaction builder, and signer.
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* Testability: core arbitrage logic should be pure functions with injected interfaces for RPCs and time.
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* Secrets: private keys are never in repo, use a secrets manager (Vault / KMS) or env with restricted perms.
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---
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## 6) Concurrency & rate limiting
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* Ensure tight control over goroutine lifecycle (context cancellation).
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* Use worker pools for RPCs and bounded channels to avoid OOM.
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* Rate-limit RPC calls and implement backoff/retry strategies with jitter.
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---
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## 7) Transaction building & signing (critical)
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* Validate chain ID, EIP-155 protection, correct v,r,s values.
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* Nonce management: centralize nonce manager; handle failed/non-broadcast txs and re-sync nonces from node on error.
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* Gas estimation/testing: include sanity checks & max gas limits.
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* Signing: prefer hardware/remote signers (KMS, HSM). If local private keys used, ensure file perms and encryption.
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* Replay protection: verify chain ID usage and consider EIP-1559 parameterization (maxFeePerGas/maxPriorityFeePerGas).
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* If using Flashbots, validate bundle assembly and simulator checks (see Flashbots docs). ([Flashbots Docs][3])
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---
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## 8) Smart-contract audit (if you have custom contracts or interact closely)
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Run this toolchain (static + dynamic + fuzz + formal):
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* **Slither** for static analysis.
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* **Mythril** (symbolic analysis) / **MythX** for additional SAST.
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* **Foundry (forge)** for unit & fuzz tests — Foundry supports fuzzing & is fast. ([Cyfrin][4])
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* **Echidna** for property-based fuzzing of invariants. ([0xmacro.com][5])
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* Consider **Manticore**/**Mythril** for deeper symbolic exploration, and **Certora**/formal approaches for critical invariants (if budget allows). ([Medium][6])
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Example solidity workflow:
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```bash
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# slither
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slither .
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# Foundry fuzzing
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forge test --fuzz
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# Echidna (property-based)
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echidna-test contracts/ --contract MyContract --config echidna.yaml
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```
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What to test:
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* Reentrancy, arithmetic over/underflow (if not using SafeMath / solidity ^0.8), access-control checks, unexpected token approvals, unchecked external calls.
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---
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## 9) Fuzzing — exhaustive plan
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**Go fuzzing**
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* Use Go’s native fuzz (`go test -fuzz`) for core libraries (parsers, ABI decoders, bundle builders).
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* Create fuzz targets focusing on:
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* RPC response parsing (malformed JSON).
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* ABI decoding and calldata construction.
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* Signed-transaction bytes parser.
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* Run for long durations with corpus seeding from real RPC responses.
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**Solidity fuzzing**
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* Use Foundry’s `forge test --fuzz` and Echidna to target invariants (balances, no-negative slippage, token conservation).
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* Seed fuzzers with historical tx traces & typical call sequences.
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**Orchestration**
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* Run fuzzers in CI but also schedule long runs in a buildkite/GitHub Actions runner or dedicated machine.
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* Capture crashes/inputs and convert them to reproducible testcases.
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References and how-to guides for solidity fuzzing and Foundry usage. ([Cyfrin][4])
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---
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## 10) Penetration-style tests / adversarial scenarios
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* Mempool-level adversary: inject malformed or opponent transactions, test how bot reacts to reorgs & chain reorganizations.
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* Time/latency: simulate delayed RPC responses and timeouts.
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* Partial failures: simulate bundle reverts, tx replaced, or gas price spikes.
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* Economic tests: simulate price or liquidity slippage, oracle manipulation scenarios.
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---
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## 11) Monitoring, metrics & observability
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* Add structured logs (JSON), trace IDs, and use OpenTelemetry or Prometheus metrics for:
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* latency from detection → tx submission,
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* success/failure counters,
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* gas usage per tx,
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* nonce mismatches.
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* Add alerts for repeated reorgs, high failure rates, or sudden profit/loss anomalies.
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* Simulate alerting (PagerDuty/Slack) in staging to ensure operational readiness.
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---
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## 12) CI/CD & reproducible tests
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* Integrate all static and dynamic checks into CI:
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* `gosec`, `govulncheck`, `golangci-lint` → fail CI on new high/critical findings.
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* Unit tests, fuzzing smoke tests (short), Foundry tests for solidity.
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* Store fuzzing corpora and reproduce minimized crashing inputs in CI artifacts.
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---
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## 13) Secrets & deployment hardening
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* Never commit private keys or mnemonic in code or config. Use secret manager (AWS KMS / GCP KMS / HashiCorp Vault).
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* Use least-privilege for node credentials; isolate signer service from other components.
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* Harden nodes: avoid public shared RPCs for production signing; prefer dedicated provider or local node.
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---
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## 14) Reporting format & remediation plan (what the auditor should deliver)
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* **Executive summary:** risk posture and amount at risk.
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* **Prioritized findings:** Critical / High / Medium / Low / Informational.
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* For each finding: description, evidence (stack trace, log snippets, test reproducer), impact, exploitability, and line-level references.
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* **Fix recommendation:** code patch or test to cover the case; include sample code where relevant.
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* **Re-test plan:** how to validate fixes (unit/regression tests, fuzzing seeds).
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* **Follow-up:** suggested schedule for re-audit (post-fix) and continuous scanning.
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---
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## 15) Severity guidance (example)
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* **Critical:** fund-loss bug; private key compromised; unsigned tx broadcast leak.
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* **High:** nonce desync under normal load; reentrancy in helper contract called by bot.
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* **Medium:** panic on malformed RPC response; unbounded goroutine leak.
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* **Low:** logging missing request IDs; non-idiomatic error handling.
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* **Informational:** code style, minor refactors.
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---
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## 16) Example concrete test cases to include
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* RPC returns truncated JSON → does the bot panic or gracefully retry?
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* Node returns `nonce too low` mid-run → does the bot resync or keep retrying stale nonce?
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* Simulate mempool reordering and reorg of 2 blocks → does bot detect revert & recover?
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* Flashbots bundle simulator returns revert on one tx → ensure bot doesn’t double-submit other txs.
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* ABI-decoder fuzzed input causing unexpected `panic` in Go (fuzzer should find).
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---
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## 17) Example commands / CI snippets (condensed)
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```yaml
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# .github/workflows/ci.yml (snippets)
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- name: Lint & Security
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run: |
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golangci-lint run ./...
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gosec ./...
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govulncheck ./...
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- name: Unit + Race
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run: go test -race ./...
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- name: Go Fuzz (short)
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run: go test -run TestFuzz -fuzz=Fuzz -fuzztime=1m ./...
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```
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---
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## 18) Deliverables checklist for the auditor (what to hand back)
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* Full report (PDF/Markdown) with prioritized findings & diffs/patches.
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* Repro scripts for each failing case (docker-compose or Foundry/Anvil fork commands).
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* Fuzzing corpora and minimized crashing inputs.
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* CI changes / workflow proposals for enforcement.
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* Suggested runtime hardening & monitoring dashboard templates.
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---
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## 19) Helpful references & toolset (quick links)
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* `gosec` — Go security scanner. ([GitHub][1])
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* `govulncheck` — Go vulnerability scanner for dependencies. ([Go Packages][2])
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* Foundry (`forge`) — fast solidity testing + fuzzing. ([Cyfrin][4])
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* Echidna — property-based fuzzing for Solidity. ([0xmacro.com][5])
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* Slither / Mythril — solidity static analysis & symbolic analysis. ([Medium][6])
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---
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## 20) Final notes & recommended audit cadence
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* Run a full audit (code + solidity + fuzzing) before mainnet launch.
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* Keep continuous scanning (gosec/govulncheck) in CI on every PR.
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* Schedule quarterly security re-checks + immediate re-audit for any major dependency or logic change.
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---
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