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wickra/THREAT_MODEL.md
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kingchenc d59cd44043 docs: standardise language naming + binding security sections (#290)
* docs: standardise language naming and add binding security sections

Canonical binding list everywhere: Rust, Python, Node.js, WASM, C, C++, C#,
Go, Java, R. Use C# (not .NET) as the language label, WASM (not WebAssembly)
in prose, and frame the C ABI as a hub rather than a list item.

- Bump stale indicator counts (200+ -> 514) and family count (sixteen ->
  twenty-four) in the Node/Python/WASM and docs READMEs.
- Add a short Security section to all eight binding READMEs.
- Relabel benchmark rows (C -> C / C++, C# / .NET -> C#).
- Fix the 'language stecker' wording in the C#/Go/R API intros.
- Documentation only; no code or public API changes.

* release.yml: extend install snippets and expose version output

Add the missing registry installs to the release body (dotnet, go, Gradle/
Maven Central, r-universe) alongside cargo/pip/npm, and expose a v-stripped
'version' output from the tag step for the Gradle coordinate. Also fix the
C-ABI language order in the assets note (C# before Go).

* release.yml: correct the release body (10 languages, all registries)

Reframe the tagline to '10 languages' (native Rust/Python/Node.js/WASM + a C
ABI hub for C, C++, C#, Go, Java, R) instead of '4 language registries', note
that C#/Java/Go/R publish to NuGet/Maven/Go/r-universe via their own jobs, and
tidy the Node.js label and the C-ABI hub list.
2026-06-13 23:34:24 +02:00

4.2 KiB

Threat model

This document describes Wickra's attack surface and the threats considered, together with their mitigations. It complements the security assurance case in SECURITY.md. Wickra is a computational technical-analysis library (a Rust core with Python, Node.js and WASM bindings plus a C ABI and the C#, Go, Java and R bindings built on it), not a network service or trading system; the attack surface is correspondingly small.

Assets

  • Integrity of computed indicator values — consumers may use them in automated decisions, so silently wrong output is the primary concern.
  • Availability of the calling process — a library must not crash or hang its host on malformed input.
  • Integrity of published artifacts — the crates, wheels and npm packages users install.
  • The build and release pipeline and its secrets (publishing tokens).

Actors / trust boundaries

  • Library consumer (trusted) — calls the API with numeric data. Data may originate from untrusted sources (e.g. a market feed), so input values are treated as untrusted even though the caller is trusted.
  • Optional live feed — with the live-binance feature, data crosses a network boundary from an exchange over TLS.
  • Contributors (semi-trusted) — propose changes via pull requests.
  • Supply chain — upstream dependencies and the CI/CD platform.

Threats and mitigations

Threat Mitigation
Memory-safety exploit (buffer overflow, UAF) via crafted input Pure safe Rust; unsafe is forbidden/minimised, so the compiler precludes these classes.
Misuse of the C ABI FFI boundary (invalid/dangling handle, undersized batch buffer) The C ABI (bindings/c) is the sole unsafe surface. Its shim adds no logic, NULL-checks every handle (returning NaN/no-op), writes only into caller-sized buffers, and is built with panic = "abort" so a panic terminates the process deterministically instead of unwinding across the FFI boundary (which would be undefined behaviour). A caller passing a non-NULL but dangling pointer is undefined behaviour by C's own contract — out of scope, the same as any C library.
Denial of service via malformed/degenerate input (NaN, infinities, extreme magnitudes) Indicators reject non-finite inputs and validate parameters at construction; update paths are exercised by coverage-guided fuzzing and unit tests for edge cases.
Silently incorrect results 100% line coverage on the core crate; reference-value tests against known-good sources; streaming/batch parity tests.
Integer overflow / panics clippy::pedantic with -D warnings; debug assertions and overflow checks enabled in test/fuzz builds.
Adversary-in-the-middle on the optional live feed Connection uses TLS via the platform library; transport security is delegated to that reviewed implementation.
Compromised dependency (supply chain) Dependencies pinned (Cargo.lock, hash-locked CI requirements), monitored by Dependabot, audited by cargo-deny (advisories + licenses) on every change.
Malicious or accidental change to main Branch protection requires signed commits and blocks force-push and deletion; all changes flow through pull requests with required CI; static analysis (CodeQL, Clippy) and fuzzing run on every change.
Compromised CI / leaked secrets Workflows use least-privilege permissions:; secrets live only as encrypted GitHub Actions secrets; secret scanning with push protection is enabled; workflows are linted by zizmor.
Tampered release artifact Releases are built in CI, tags are signed, and assets carry build provenance attestations (verifiable with gh attestation verify).

Out of scope

  • Wickra implements no authentication, authorization or cryptography of its own, stores no user data, and exposes no network listener; those threat classes do not apply.
  • Vulnerabilities in third-party dependencies that do not affect Wickra are tracked as exploitability (VEX) records (see SECURITY.md).

Maintenance

This threat model is reviewed when the architecture changes materially (for example, a new input family, a new network feature, or a new release channel).