go-derive

Projects that follow the best practices below can voluntarily self-certify and show that they've achieved an Open Source Security Foundation (OpenSSF) best practices badge.

There is no set of practices that can guarantee that software will never have defects or vulnerabilities; even formal methods can fail if the specifications or assumptions are wrong. Nor is there any set of practices that can guarantee that a project will sustain a healthy and well-functioning development community. However, following best practices can help improve the results of projects. For example, some practices enable multi-person review before release, which can both help find otherwise hard-to-find technical vulnerabilities and help build trust and a desire for repeated interaction among developers from different companies. To earn a badge, all MUST and MUST NOT criteria must be met, all SHOULD criteria must be met OR be unmet with justification, and all SUGGESTED criteria must be met OR unmet (we want them considered at least). If you want to enter justification text as a generic comment, instead of being a rationale that the situation is acceptable, start the text block with '//' followed by a space. Feedback is welcome via the GitHub site as issues or pull requests There is also a mailing list for general discussion.

We gladly provide the information in several locales, however, if there is any conflict or inconsistency between the translations, the English version is the authoritative version.
If this is your project, please show your badge status on your project page! The badge status looks like this: Badge level for project 12775 is passing Here is how to embed it:
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These are the Passing level criteria. You can also view the Silver or Gold level criteria.

Baseline Series: Baseline Level 1 Baseline Level 2 Baseline Level 3

        

 Basics 13/13

  • General

    Note that other projects may use the same name.

    Go SDK for the Derive exchange — REST + WebSocket, EIP-712 signing, typed errors, full JSON-RPC coverage.

    Please use SPDX license expression format; examples include "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause", "GPL-2.0+", "LGPL-3.0+", "MIT", and "(BSD-2-Clause OR Ruby)". Do not include single quotes or double quotes.
    If there is more than one language, list them as comma-separated values (spaces optional) and sort them from most to least used. If there is a long list, please list at least the first three most common ones. If there is no language (e.g., this is a documentation-only or test-only project), use the single character "-". Please use a conventional capitalization for each language, e.g., "JavaScript".
    The Common Platform Enumeration (CPE) is a structured naming scheme for information technology systems, software, and packages. It is used in a number of systems and databases when reporting vulnerabilities.

    go-derive is a Go SDK for the Derive (formerly Lyra) crypto-derivatives exchange.

    The project is currently solo-maintained and pre-1.0.
    First release: v0.1.0 (2026-05-05)
    Current version: v0.2.7

    Security features:

    • CycloneDX and SPDX SBOMs for every release
    • Cosign keyless OIDC signatures
    • SLSA Level 3 provenance

    CI and security tooling:

    • CodeQL
    • gosec
    • Semgrep
    • Trivy
    • Codacy
    • osv-scanner
    • govulncheck
    • gitleaks
    • TruffleHog
    • OpenSSF Scorecard

    Repository protections:

    • PR-only workflow
    • Linear history
    • Signed squash merges
    • 14 required status checks
    • GitHub Rulesets enforcement

    Release process:

    • Fully automated with release-please
    • Conventional Commits based
  • Basic project website content


    The project website MUST succinctly describe what the software does (what problem does it solve?). [description_good]
    This MUST be in language that potential users can understand (e.g., it uses minimal jargon).

    go-derive is a Go SDK for the Derive exchange (formerly Lyra), a layer-2 derivatives venue supporting perps, options, and spot markets.

    Supported features:

    • REST public and private APIs
    • WebSocket public and private APIs
    • Subscription streams
    • EIP-712 order signing
    • Session key support

    The SDK provides programmatic access to Derive market data and trading APIs from Go, including built-in EIP-712 signing so users do not need to implement the signing flow themselves.



    The project website MUST provide information on how to: obtain, provide feedback (as bug reports or enhancements), and contribute to the software. [interact]

    Install:

    • go get github.com/amiwrpremium/go-derive
    • README includes a working Quick Start example

    Feedback:

    • Structured GitHub issue templates for bug reports and feature requests
    • Contact links configured through .github/ISSUE_TEMPLATE/config.yml

    Contributing:

    • CONTRIBUTING.md documents:
      • Conventional Commits requirements
      • commit type → semantic version bump mapping
      • branch protection rules
      • automated release-please workflow

    The README Contributing section and "PRs Welcome" badge both link to CONTRIBUTING.md.



    The information on how to contribute MUST explain the contribution process (e.g., are pull requests used?) (URL required) [contribution]
    We presume that projects on GitHub use issues and pull requests unless otherwise noted. This information can be short, e.g., stating that the project uses pull requests, an issue tracker, or posts to a mailing list (which one?)

    Non-trivial contribution file in repository: https://github.com/amiwrpremium/go-derive/blob/master/CONTRIBUTING.md.



    The information on how to contribute SHOULD include the requirements for acceptable contributions (e.g., a reference to any required coding standard). (URL required) [contribution_requirements]
  • FLOSS license


    The software produced by the project MUST be released as FLOSS. [floss_license]
    FLOSS is software released in a way that meets the Open Source Definition or Free Software Definition. Examples of such licenses include the CC0, MIT, BSD 2-clause, BSD 3-clause revised, Apache 2.0, Lesser GNU General Public License (LGPL), and the GNU General Public License (GPL). For our purposes, this means that the license MUST be: The software MAY also be licensed other ways (e.g., "GPLv2 or proprietary" is acceptable).

    The MIT license is approved by the Open Source Initiative (OSI).



    It is SUGGESTED that any required license(s) for the software produced by the project be approved by the Open Source Initiative (OSI). [floss_license_osi]
    The OSI uses a rigorous approval process to determine which licenses are OSS.

    The MIT license is approved by the Open Source Initiative (OSI).



    The project MUST post the license(s) of its results in a standard location in their source repository. (URL required) [license_location]
    One convention is posting the license as a top-level file named LICENSE or COPYING, which MAY be followed by an extension such as ".txt" or ".md". An alternative convention is to have a directory named LICENSES containing license file(s); these files are typically named as their SPDX license identifier followed by an appropriate file extension, as described in the REUSE Specification. Note that this criterion is only a requirement on the source repository. You do NOT need to include the license file when generating something from the source code (such as an executable, package, or container). For example, when generating an R package for the Comprehensive R Archive Network (CRAN), follow standard CRAN practice: if the license is a standard license, use the standard short license specification (to avoid installing yet another copy of the text) and list the LICENSE file in an exclusion file such as .Rbuildignore. Similarly, when creating a Debian package, you may put a link in the copyright file to the license text in /usr/share/common-licenses, and exclude the license file from the created package (e.g., by deleting the file after calling dh_auto_install). We encourage including machine-readable license information in generated formats where practical.

    Non-trivial license location file in repository: https://github.com/amiwrpremium/go-derive/blob/master/LICENSE.


  • Documentation


    The project MUST provide basic documentation for the software produced by the project. [documentation_basics]
    This documentation must be in some media (such as text or video) that includes: how to install it, how to start it, how to use it (possibly with a tutorial using examples), and how to use it securely (e.g., what to do and what not to do) if that is an appropriate topic for the software. The security documentation need not be long. The project MAY use hypertext links to non-project material as documentation. If the project does not produce software, choose "not applicable" (N/A).

    Some documentation basics file contents found.



    The project MUST provide reference documentation that describes the external interface (both input and output) of the software produced by the project. [documentation_interface]
    The documentation of an external interface explains to an end-user or developer how to use it. This would include its application program interface (API) if the software has one. If it is a library, document the major classes/types and methods/functions that can be called. If it is a web application, define its URL interface (often its REST interface). If it is a command-line interface, document the parameters and options it supports. In many cases it's best if most of this documentation is automatically generated, so that this documentation stays synchronized with the software as it changes, but this isn't required. The project MAY use hypertext links to non-project material as documentation. Documentation MAY be automatically generated (where practical this is often the best way to do so). Documentation of a REST interface may be generated using Swagger/OpenAPI. Code interface documentation MAY be generated using tools such as JSDoc (JavaScript), ESDoc (JavaScript), pydoc (Python), devtools (R), pkgdown (R), and Doxygen (many). Merely having comments in implementation code is not sufficient to satisfy this criterion; there needs to be an easy way to see the information without reading through all the source code. If the project does not produce software, choose "not applicable" (N/A).

    Reference documentation is published on pkg.go.dev and linked from the README's Go Reference badge.

    Documentation characteristics:

    • generated from godoc comments
    • covers all public interfaces
    • every public package includes a multi-paragraph overview
    • every exported type, function, method, struct field, and constant is documented
    • more than 500 documentation comments across the root package and pkg/

    API documentation:

    • method inputs documented at the parameter level
    • outputs documented through return types
    • request and response structures linked through pkg/types

    Examples:

    • runnable examples under:
      • /examples/auth
      • /examples/derive
      • /examples/rest
      • /examples/ws
    • Example_* functions render directly on pkg.go.dev

  • Other


    The project sites (website, repository, and download URLs) MUST support HTTPS using TLS. [sites_https]
    This requires that the project home page URL and the version control repository URL begin with "https:", not "http:". You can get free certificates from Let's Encrypt. Projects MAY implement this criterion using (for example) GitHub pages, GitLab pages, or SourceForge project pages. If you support HTTP, we urge you to redirect the HTTP traffic to HTTPS.

    Given only https: URLs.



    The project MUST have one or more mechanisms for discussion (including proposed changes and issues) that are searchable, allow messages and topics to be addressed by URL, enable new people to participate in some of the discussions, and do not require client-side installation of proprietary software. [discussion]
    Examples of acceptable mechanisms include archived mailing list(s), GitHub issue and pull request discussions, Bugzilla, Mantis, and Trac. Asynchronous discussion mechanisms (like IRC) are acceptable if they meet these criteria; make sure there is a URL-addressable archiving mechanism. Proprietary JavaScript, while discouraged, is permitted.

    GitHub supports discussions on issues and pull requests.



    The project SHOULD provide documentation in English and be able to accept bug reports and comments about code in English. [english]
    English is currently the lingua franca of computer technology; supporting English increases the number of different potential developers and reviewers worldwide. A project can meet this criterion even if its core developers' primary language is not English.

    All project-facing documentation is written in English, including:

    • README.md
    • CONTRIBUTING.md
    • SECURITY.md
    • CODE_OF_CONDUCT.md
    • documentation under docs/
    • GitHub issue templates
    • godoc and source-code comments

    Community interaction:

    • bug reports handled through GitHub Issues
    • technical discussions conducted in English
    • maintainer communication is in English


    The project MUST be maintained. [maintained]
    As a minimum, the project should attempt to respond to significant problem and vulnerability reports. A project that is actively pursuing a badge is probably maintained. All projects and people have limited resources, and typical projects must reject some proposed changes, so limited resources and proposal rejections do not by themselves indicate an unmaintained project.

    When a project knows that it will no longer be maintained, it should set this criterion to "Unmet" and use the appropriate mechanism(s) to indicate to others that it is not being maintained. For example, use “DEPRECATED” as the first heading of its README, add “DEPRECATED” near the beginning of its home page, add “DEPRECATED” to the beginning of its code repository project description, add a no-maintenance-intended badge in its README and/or home page, mark it as deprecated in any package repositories (e.g., npm deprecate), and/or use the code repository's marking system to archive it (e.g., GitHub's "archive" setting, GitLab’s "archived" marking, Gerrit's "readonly" status, or SourceForge’s "abandoned" project status). Additional discussion can be found here.

    Project maintenance is active and continuous.

    Current activity indicators (as of 2026-05-07):

    • 29 merged pull requests on master
    • 7 releases shipped within ~48 hours (v0.2.0v0.2.7)
    • CI runs on every push and pull request
    • daily OpenSSF Scorecard scans
    • automated dependency updates via Renovate
    • automated releases via release-please

    Operational tooling:

    • renovate.json manages dependency update automation
    • release-please manages versioning and release generation
    • README includes a live "Last commit" badge showing repository freshness

 Change Control 9/9

  • Public version-controlled source repository


    The project MUST have a version-controlled source repository that is publicly readable and has a URL. [repo_public]
    The URL MAY be the same as the project URL. The project MAY use private (non-public) branches in specific cases while the change is not publicly released (e.g., for fixing a vulnerability before it is revealed to the public).

    Repository on GitHub, which provides public git repositories with URLs.



    The project's source repository MUST track what changes were made, who made the changes, and when the changes were made. [repo_track]

    Repository on GitHub, which uses git. git can track the changes, who made them, and when they were made.



    To enable collaborative review, the project's source repository MUST include interim versions for review between releases; it MUST NOT include only final releases. [repo_interim]
    Projects MAY choose to omit specific interim versions from their public source repositories (e.g., ones that fix specific non-public security vulnerabilities, may never be publicly released, or include material that cannot be legally posted and are not in the final release).

    The master branch contains the active development history, not only release tags.

    Development workflow:

    • all changes land through pull requests
    • pull requests are squash-merged
    • merge commits follow Conventional Commits formatting

    Repository activity:

    • 29 merged pull requests visible in GitHub history
    • releases are preceded by multiple development PRs and commits

    Example:

    • release v0.2.5 was preceded by PRs:
      • #23
      • #25
      • #26
    • each merged independently onto master

    Review traceability:

    • PR descriptions preserved
    • review discussions preserved
    • file diffs preserved
    • CI execution history preserved


    It is SUGGESTED that common distributed version control software be used (e.g., git) for the project's source repository. [repo_distributed]
    Git is not specifically required and projects can use centralized version control software (such as subversion) with justification.

    Repository on GitHub, which uses git. git is distributed.


  • Unique version numbering


    The project results MUST have a unique version identifier for each release intended to be used by users. [version_unique]
    This MAY be met in a variety of ways including a commit IDs (such as git commit id or mercurial changeset id) or a version number (including version numbers that use semantic versioning or date-based schemes like YYYYMMDD).

    Each release uses a unique Semantic Version identifier.

    Versioning workflow:

    • release-please calculates versions from Conventional Commits
    • versions are synchronized across:
      • git tags (e.g. v0.2.7)
      • the Version constant in derive.go
      • .github/.release-please-manifest.json

    Release integrity:

    • repository ruleset release-tag-protection (id 15981700) prevents:
      • tag reuse
      • tag rewriting

    Release history is published through the GitHub Releases page.



    It is SUGGESTED that the Semantic Versioning (SemVer) or Calendar Versioning (CalVer) version numbering format be used for releases. It is SUGGESTED that those who use CalVer include a micro level value. [version_semver]
    Projects should generally prefer whatever format is expected by their users, e.g., because it is the normal format used by their ecosystem. Many ecosystems prefer SemVer, and SemVer is generally preferred for application programmer interfaces (APIs) and software development kits (SDKs). CalVer tends to be used by projects that are large, have an unusually large number of independently-developed dependencies, have a constantly-changing scope, or are time-sensitive. It is SUGGESTED that those who use CalVer include a micro level value, because including a micro level supports simultaneously-maintained branches whenever that becomes necessary. Other version numbering formats may be used as version numbers, including git commit IDs or mercurial changeset IDs, as long as they uniquely identify versions. However, some alternatives (such as git commit IDs) can cause problems as release identifiers, because users may not be able to easily determine if they are up-to-date. The version ID format may be unimportant for identifying software releases if all recipients only run the latest version (e.g., it is the code for a single website or internet service that is constantly updated via continuous delivery).


    It is SUGGESTED that projects identify each release within their version control system. For example, it is SUGGESTED that those using git identify each release using git tags. [version_tags]

    Each release is identified by a git tag using the format:

    • vX.Y.Z
    • example: v0.2.7

    Tag management:

    • tags are created automatically by release-please
    • tags are generated when the auto-generated release PR is merged

    Tag protection:

    • repository ruleset release-tag-protection (id 15981700) prevents:
      • tag reuse
      • tag deletion
      • tag rewriting

    The complete release tag history is available through the GitHub Tags page.


  • Release notes


    The project MUST provide, in each release, release notes that are a human-readable summary of major changes in that release to help users determine if they should upgrade and what the upgrade impact will be. The release notes MUST NOT be the raw output of a version control log (e.g., the "git log" command results are not release notes). Projects whose results are not intended for reuse in multiple locations (such as the software for a single website or service) AND employ continuous delivery MAY select "N/A". (URL required) [release_notes]
    The release notes MAY be implemented in a variety of ways. Many projects provide them in a file named "NEWS", "CHANGELOG", or "ChangeLog", optionally with extensions such as ".txt", ".md", or ".html". Historically the term "change log" meant a log of every change, but to meet these criteria what is needed is a human-readable summary. The release notes MAY instead be provided by version control system mechanisms such as the GitHub Releases workflow.

    Non-trivial release notes file in repository: https://github.com/amiwrpremium/go-derive/blob/master/CHANGELOG.md.



    The release notes MUST identify every publicly known run-time vulnerability fixed in this release that already had a CVE assignment or similar when the release was created. This criterion may be marked as not applicable (N/A) if users typically cannot practically update the software themselves (e.g., as is often true for kernel updates). This criterion applies only to the project results, not to its dependencies. If there are no release notes or there have been no publicly known vulnerabilities, choose N/A. [release_notes_vulns]
    This criterion helps users determine if a given update will fix a vulnerability that is publicly known, to help users make an informed decision about updating. If users typically cannot practically update the software themselves on their computers, but must instead depend on one or more intermediaries to perform the update (as is often the case for a kernel and low-level software that is intertwined with a kernel), the project may choose "not applicable" (N/A) instead, since this additional information will not be helpful to those users. Similarly, a project may choose N/A if all recipients only run the latest version (e.g., it is the code for a single website or internet service that is constantly updated via continuous delivery). This criterion only applies to the project results, not its dependencies. Listing the vulnerabilities of all transitive dependencies of a project becomes unwieldy as dependencies increase and vary, and is unnecessary since tools that examine and track dependencies can do this in a more scalable way.

    No publicly known runtime vulnerabilities have been disclosed for go-derive.

    Current security status across releases v0.1.0v0.2.7:

    • no assigned CVEs
    • no GitHub Security Advisories
    • no reported runtime vulnerabilities

    Security scanning performed in CI includes:

    • govulncheck
    • osv-scanner
    • Trivy
    • gosec
    • Semgrep
    • CodeQL

    Release notes:

    • CHANGELOG.md is generated automatically by release-please
    • changelog entries are derived from Conventional Commits
    • any future security fixes would appear under "Bug Fixes" and include the relevant CVE reference when applicable

 Reporting 8/8

  • Bug-reporting process


    The project MUST provide a process for users to submit bug reports (e.g., using an issue tracker or a mailing list). (URL required) [report_process]

    Non-trivial SECURITY[.md] file found file in repository: https://github.com/amiwrpremium/go-derive/blob/master/SECURITY.md. [osps_do_02_01]



    The project SHOULD use an issue tracker for tracking individual issues. [report_tracker]

    GitHub Issues at https://github.com/amiwrpremium/go-derive/issues, with structured templates in .github/ISSUE_TEMPLATE/ (bug_report, feature_request, config).



    The project MUST acknowledge a majority of bug reports submitted in the last 2-12 months (inclusive); the response need not include a fix. [report_responses]

    The project is 2 days old.
    First release: v0.1.0 on 2026-05-05.

    Issue tracker status:

    • 2 total issues
    • both are bot-generated

    Issues:

    • #5 Renovate config notice
      • closed by PR #1
    • #7 Renovate Dependency Dashboard
      • intentionally kept open

    No user-submitted bug reports have been filed so far.

    The maintainer is the sole responder and handles issue triage through GitHub notifications.



    The project SHOULD respond to a majority (>50%) of enhancement requests in the last 2-12 months (inclusive). [enhancement_responses]
    The response MAY be 'no' or a discussion about its merits. The goal is simply that there be some response to some requests, which indicates that the project is still alive. For purposes of this criterion, projects need not count fake requests (e.g., from spammers or automated systems). If a project is no longer making enhancements, please select "unmet" and include the URL that makes this situation clear to users. If a project tends to be overwhelmed by the number of enhancement requests, please select "unmet" and explain.

    No user-submitted enhancement requests have been filed.

    Project status:

    • first release: v0.1.0 on 2026-05-05
    • only 2 issues exist
    • both are Renovate-generated meta-issues

    Issues:

    • #5 closed
    • #7 Renovate Dependency Dashboard kept open by design

    The "majority responded" requirement is satisfied vacuously.



    The project MUST have a publicly available archive for reports and responses for later searching. (URL required) [report_archive]

    All issues (open + closed, including full comment threads) are archived and searchable at:
    https://github.com/amiwrpremium/go-derive/issues?q=is%3Aissue

    GitHub provides:

    • full-text search across titles, bodies, and comments
    • filtering by:
      • author
      • label
      • state
      • date

  • Vulnerability report process


    The project MUST publish the process for reporting vulnerabilities on the project site. (URL required) [vulnerability_report_process]
    Projects hosted on GitHub SHOULD consider enabling privately reporting a security vulnerability. Projects on GitLab SHOULD consider using its ability for privately reporting a vulnerability. Projects MAY identify a mailing address on https://PROJECTSITE/security, often in the form security@example.org. This vulnerability reporting process MAY be the same as its bug reporting process. Vulnerability reports MAY always be public, but many projects have a private vulnerability reporting mechanism.

    SECURITY.md:
    https://github.com/amiwrpremium/go-derive/blob/master/SECURITY.md

    Security reporting policy:

    The policy documents:

    • required report fields
    • optional report fields
    • response SLAs by severity

    Response targets:

    • Critical/High:
      • acknowledgment within 72 hours
      • triage within 7 days
    • Medium/Low:
      • acknowledgment within 5 business days
      • triage on a best-effort basis


    If private vulnerability reports are supported, the project MUST include how to send the information in a way that is kept private. (URL required) [vulnerability_report_private]
    Examples include a private defect report submitted on the web using HTTPS (TLS) or an email encrypted using OpenPGP. If vulnerability reports are always public (so there are never private vulnerability reports), choose "not applicable" (N/A).

    SECURITY.md §Reporting a vulnerability:
    https://github.com/amiwrpremium/go-derive/blob/master/SECURITY.md#reporting-a-vulnerability

    Private Vulnerability Reporting:
    https://github.com/amiwrpremium/go-derive/security/advisories/new

    Policy:

    • reporters must not open public issues
    • vulnerabilities must be submitted through GitHub Private Vulnerability Reporting

    Privacy guarantees:

    • reports are visible only to repository maintainers and the reporter
    • reports are not indexed in:
      • public issues
      • repository timeline
      • GitHub search


    The project's initial response time for any vulnerability report received in the last 6 months MUST be less than or equal to 14 days. [vulnerability_report_response]
    If there have been no vulnerabilities reported in the last 6 months, choose "not applicable" (N/A).

    No vulnerability reports have been received.

    Project status:

    • first release: v0.1.0 on 2026-05-05
    • GitHub Security Advisories currently empty

    The 14-day initial-response requirement is satisfied vacuously.

    SECURITY.md response targets:

    • Critical/High:
      • acknowledgment within 72 hours
    • Medium/Low:
      • acknowledgment within 5 business days

    Both response targets are below the 14-day requirement.


 Quality 13/13

  • Working build system


    If the software produced by the project requires building for use, the project MUST provide a working build system that can automatically rebuild the software from source code. [build]
    A build system determines what actions need to occur to rebuild the software (and in what order), and then performs those steps. For example, it can invoke a compiler to compile the source code. If an executable is created from source code, it must be possible to modify the project's source code and then generate an updated executable with those modifications. If the software produced by the project depends on external libraries, the build system does not need to build those external libraries. If there is no need to build anything to use the software after its source code is modified, select "not applicable" (N/A).

    It is SUGGESTED that common tools be used for building the software. [build_common_tools]
    For example, Maven, Ant, cmake, the autotools, make, rake (Ruby), or devtools (R).

    The project SHOULD be buildable using only FLOSS tools. [build_floss_tools]

    Build command:
    go build ./...

    Required tooling:

    • Go toolchain
    • BSD-3-Clause
    • FLOSS

    Dependency licensing:

    No proprietary build tools, IDEs, compilers, SDKs, or licensing servers are required.

    CI linters are also FLOSS:

    • gofmt
    • goimports
    • go vet
    • golangci-lint
    • govulncheck
    • staticcheck

  • Automated test suite


    The project MUST use at least one automated test suite that is publicly released as FLOSS (this test suite may be maintained as a separate FLOSS project). The project MUST clearly show or document how to run the test suite(s) (e.g., via a continuous integration (CI) script or via documentation in files such as BUILD.md, README.md, or CONTRIBUTING.md). [test]
    The project MAY use multiple automated test suites (e.g., one that runs quickly, vs. another that is more thorough but requires special equipment). There are many test frameworks and test support systems available, including Selenium (web browser automation), Junit (JVM, Java), RUnit (R), testthat (R).

    Testing framework:

    • Go standard testing package
    • BSD-3-Clause
    • included with the Go toolchain

    Test command:
    go test -race -count=1 ./...

    Documented in:

    CI execution:

    • runs on every push and pull request
    • test matrix:
      • ubuntu-latest
      • macos-latest
      • windows-latest
    • Go versions:
      • 1.25
      • 1.26

    Integration tests:

    • located under test/
    • protected behind an integration build tag
    • dispatched manually through:
      .github/workflows/integration.yml


    A test suite SHOULD be invocable in a standard way for that language. [test_invocation]
    For example, "make check", "mvn test", or "rake test" (Ruby).

    Tests are executed with:

    • go test ./...
    • go test -race -count=1 ./...

    The project uses:

    • standard _test.go test files
    • Go's built-in testing package

    No custom test runner or test harness is required.



    It is SUGGESTED that the test suite cover most (or ideally all) the code branches, input fields, and functionality. [test_most]

    Coverage:

    • 90.2% statement coverage
    • measured with:
      go test -race -coverprofile -coverpkg=...

    Test suite size:

    • 110 _test.go files
    • 7,369 LOC of tests
    • 8,378 LOC of source

    Coverage reporting:

    Coverage regressions are flagged on pull requests.



    It is SUGGESTED that the project implement continuous integration (where new or changed code is frequently integrated into a central code repository and automated tests are run on the result). [test_continuous_integration]

    Continuous integration uses GitHub Actions.

    CI workflow:

    • .github/workflows/ci.yml
    • runs on every push and pull request

    CI tasks:

    • gofmt
    • go vet
    • go test -race -coverprofile
    • govulncheck
    • go build

    Test matrix:

    • ubuntu
    • macos
    • windows
    • Go 1.25
    • Go 1.26

    Branch protection:

    • merging to master requires 14 status checks
    • enforced by:
      master-branch-protection ruleset (15981309)

    Workflow coverage:

    • tests
    • linting
    • security scanning
    • supply-chain verification
    • release verification

    Security tooling:

    • CodeQL
    • gosec
    • Semgrep
    • Trivy
    • Codacy
    • osv-scanner
    • gitleaks
    • TruffleHog

    Additional checks:

    • pin-check
    • license-check
    • govulncheck

  • New functionality testing


    The project MUST have a general policy (formal or not) that as major new functionality is added to the software produced by the project, tests of that functionality should be added to an automated test suite. [test_policy]
    As long as a policy is in place, even by word of mouth, that says developers should add tests to the automated test suite for major new functionality, select "Met."

    CONTRIBUTING.md §Coverage:
    https://github.com/amiwrpremium/go-derive/blob/master/CONTRIBUTING.md#coverage

    Policy:
    "Patches that meaningfully drop coverage will get flagged on the PR."

    Enforcement:

    • Codecov posts diff-coverage comments
    • Codacy runs:
      • Codacy Coverage Variation
      • Codacy Diff Coverage

    Checks run on every pull request and mechanically surface new functionality lacking tests.



    The project MUST have evidence that the test_policy for adding tests has been adhered to in the most recent major changes to the software produced by the project. [tests_are_added]
    Major functionality would typically be mentioned in the release notes. Perfection is not required, merely evidence that tests are typically being added in practice to the automated test suite when new major functionality is added to the software produced by the project.

    Evidence:

    • 90.2% coverage existed at v0.1.0 and remained stable across 7 releases
    • tests were committed alongside source from the beginning

    Examples:

    • PR #10 removed Trade.Realized and its dedicated test in the same commit
    • PR #17 refactored internal/retry/backoff.go to use crypto/rand
      • existing backoff_test.go validated the new implementation without modification

    PR enforcement:

    • every PR includes:
      • Codecov delta checks
      • Codacy Diff Coverage checks
    • untested new code is flagged automatically


    It is SUGGESTED that this policy on adding tests (see test_policy) be documented in the instructions for change proposals. [tests_documented_added]
    However, even an informal rule is acceptable as long as the tests are being added in practice.

    Test expectations are documented in CONTRIBUTING.md through the coverage policy and CI enforcement rules, but there is no explicit standalone "tests must accompany changes" instruction in the change-proposal workflow.

    Adding an explicit requirement for contributors to include or update tests alongside behavioral changes is therefore suggested.


  • Warning flags


    The project MUST enable one or more compiler warning flags, a "safe" language mode, or use a separate "linter" tool to look for code quality errors or common simple mistakes, if there is at least one FLOSS tool that can implement this criterion in the selected language. [warnings]
    Examples of compiler warning flags include gcc/clang "-Wall". Examples of a "safe" language mode include JavaScript "use strict" and perl5's "use warnings". A separate "linter" tool is simply a tool that examines the source code to look for code quality errors or common simple mistakes. These are typically enabled within the source code or build instructions.

    The repository uses multiple FLOSS Go linters and analysis tools:

    • golangci-lint
    • staticcheck
    • gosec
    • go vet
    • gofmt
    • goimports

    Workflows:

    • .github/workflows/lint.yml
    • .github/workflows/gosec.yml
    • .github/workflows/ci.yml

    Git hooks:

    • Lefthook runs:
      • gofmt
      • goimports
      • go vet
      • golangci-lint run --new-from-rev=HEAD
    • documented in CONTRIBUTING.md §Git hooks

    Policy:

    • lint warnings fail CI
    • required status checks block merges on lint failures


    The project MUST address warnings. [warnings_fixed]
    These are the warnings identified by the implementation of the warnings criterion. The project should fix warnings or mark them in the source code as false positives. Ideally there would be no warnings, but a project MAY accept some warnings (typically less than 1 warning per 100 lines or less than 10 warnings).

    Linter warnings are treated as build failures.

    Enforced tooling:

    • golangci-lint
    • staticcheck
    • gosec
    • go vet
    • gofmt

    Policy:

    • any finding exits non-zero
    • all are required status checks on the master ruleset
    • PRs cannot merge with open lint warnings

    Example:

    • PR #17 triggered gosec G404 on math/rand/v2
    • the code was rewritten to use crypto/rand
    • the warning was fixed, not suppressed

    Code-scanning alerts from:

    • gosec
    • Semgrep
    • CodeQL
    • Trivy

    are actively triaged and documented in:
    docs/known-tool-issues.md



    It is SUGGESTED that projects be maximally strict with warnings in the software produced by the project, where practical. [warnings_strict]
    Some warnings cannot be effectively enabled on some projects. What is needed is evidence that the project is striving to enable warning flags where it can, so that errors are detected early.

    All linters run in strict/default mode with no rule exclusions.

    Configuration:

    • golangci-lint uses upstream defaults
    • staticcheck uses upstream defaults
    • gosec scans the full repository and uploads SARIF
    • gofmt and goimports fail on unformatted files
    • go vet runs without exclusions

    Suppression policy:

    • zero in-source:
      • nolint
      • nosec
      • noqa
        suppressions

    Project policy:

    • issues are fixed at source instead of suppressed
    • unavoidable tool false positives remain visible and are documented in:
      docs/known-tool-issues.md

    Documented examples:

    • Codacy deadcode-on-generics parser bug
    • remark-lint resolver false positives

 Security 16/16

  • Secure development knowledge


    The project MUST have at least one primary developer who knows how to design secure software. (See ‘details’ for the exact requirements.) [know_secure_design]
    This requires understanding the following design principles, including the 8 principles from Saltzer and Schroeder:
    • economy of mechanism (keep the design as simple and small as practical, e.g., by adopting sweeping simplifications)
    • fail-safe defaults (access decisions should deny by default, and projects' installation should be secure by default)
    • complete mediation (every access that might be limited must be checked for authority and be non-bypassable)
    • open design (security mechanisms should not depend on attacker ignorance of its design, but instead on more easily protected and changed information like keys and passwords)
    • separation of privilege (ideally, access to important objects should depend on more than one condition, so that defeating one protection system won't enable complete access. E.G., multi-factor authentication, such as requiring both a password and a hardware token, is stronger than single-factor authentication)
    • least privilege (processes should operate with the least privilege necessary)
    • least common mechanism (the design should minimize the mechanisms common to more than one user and depended on by all users, e.g., directories for temporary files)
    • psychological acceptability (the human interface must be designed for ease of use - designing for "least astonishment" can help)
    • limited attack surface (the attack surface - the set of the different points where an attacker can try to enter or extract data - should be limited)
    • input validation with allowlists (inputs should typically be checked to determine if they are valid before they are accepted; this validation should use allowlists (which only accept known-good values), not denylists (which attempt to list known-bad values)).
    A "primary developer" in a project is anyone who is familiar with the project's code base, is comfortable making changes to it, and is acknowledged as such by most other participants in the project. A primary developer would typically make a number of contributions over the past year (via code, documentation, or answering questions). Developers would typically be considered primary developers if they initiated the project (and have not left the project more than three years ago), have the option of receiving information on a private vulnerability reporting channel (if there is one), can accept commits on behalf of the project, or perform final releases of the project software. If there is only one developer, that individual is the primary developer. Many books and courses are available to help you understand how to develop more secure software and discuss design. For example, the Secure Software Development Fundamentals course is a free set of three courses that explain how to develop more secure software (it's free if you audit it; for an extra fee you can earn a certificate to prove you learned the material).

    Self-attested security evidence in the repository includes:

    • correct EIP-712 typed-data signing in pkg/auth
    • separate EIP-191 and EIP-712 signing flows
    • session-key delegation to avoid keeping owner keys in process memory

    Security improvements:

    • cryptographic randomness via crypto/rand
      • PR #17
    • explicit validation on every workflow_dispatch input
      • PR #18

    Supply-chain hardening:

    • CycloneDX + SPDX SBOMs
    • cosign keyless signatures
    • SLSA Level 3 provenance
    • SHA-pinned GitHub Actions enforced by:
      .github/workflows/pin-check.yml

    CI hardening:

    • step-security/harden-runner on every CI job

    Security process:

    • private vulnerability reporting documented in SECURITY.md
    • severity-based response SLAs

    Defence-in-depth:

    • 9 SAST/secret/dependency scanners
    • daily OpenSSF Scorecard scans


    At least one of the project's primary developers MUST know of common kinds of errors that lead to vulnerabilities in this kind of software, as well as at least one method to counter or mitigate each of them. [know_common_errors]
    Examples (depending on the type of software) include SQL injection, OS injection, classic buffer overflow, cross-site scripting, missing authentication, and missing authorization. See the CWE/SANS top 25 or OWASP Top 10 for commonly used lists. Many books and courses are available to help you understand how to develop more secure software and discuss common implementation errors that lead to vulnerabilities. For example, the Secure Software Development Fundamentals course is a free set of three courses that explain how to develop more secure software (it's free if you audit it; for an extra fee you can earn a certificate to prove you learned the material).

    Self-attested security mitigations in the repository include:

    • weak randomness mitigation:

      • crypto/rand
    • integer narrowing protection:

      • explicit & 0xFFFF mask in pkg/auth/nonce.go
    • auth-bypass prevention:

      • separate EIP-191 and EIP-712 signing flows
      • session-key delegation keeps owner keys off-host
    • input injection protection:

      • regex validation for workflow_dispatch.inputs
      • implemented in PR #18
    • race-condition detection:

      • go test -race on every CI build
    • secret-leak detection:

      • gitleaks
      • TruffleHog
      • GitGuardian
    • dependency vulnerability scanning:

      • govulncheck
      • osv-scanner
      • Trivy
      • Renovate
    • supply-chain hardening:

      • SHA-pinned GitHub Actions
      • cosign-signed SBOMs
      • SLSA Level 3 provenance
    • static analysis and bug detection:

      • CodeQL
      • gosec
      • Semgrep
      • Codacy
      • golangci-lint
      • staticcheck

  • Use basic good cryptographic practices

    Note that some software does not need to use cryptographic mechanisms. If your project produces software that (1) includes, activates, or enables encryption functionality, and (2) might be released from the United States (US) to outside the US or to a non-US-citizen, you may be legally required to take a few extra steps. Typically this just involves sending an email. For more information, see the encryption section of Understanding Open Source Technology & US Export Controls.

    The software produced by the project MUST use, by default, only cryptographic protocols and algorithms that are publicly published and reviewed by experts (if cryptographic protocols and algorithms are used). [crypto_published]
    These cryptographic criteria do not always apply because some software has no need to directly use cryptographic capabilities.

    All cryptographic operations use publicly-published, expert-reviewed primitives.

    Cryptographic standards and primitives:

    Underlying cryptography:

    • ECDSA on secp256k1
    • keccak-256 hashing
    • OS randomness via Go crypto/rand
    • TLS via Go crypto/tls
      • TLS 1.2 / 1.3
      • RFC 5246 / RFC 8446

    No custom cryptographic primitives are implemented.



    If the software produced by the project is an application or library, and its primary purpose is not to implement cryptography, then it SHOULD only call on software specifically designed to implement cryptographic functions; it SHOULD NOT re-implement its own. [crypto_call]

    go-derive's primary purpose is exchange access, not cryptography.

    Cryptographic operations are delegated to established upstream libraries:

    • github.com/ethereum/go-ethereum/crypto

      • secp256k1 ECDSA
      • keccak-256 hashing
    • signer/core/apitypes

      • EIP-712 typed-data hashing
    • common

      • EIP-55 address checksums
    • accounts/abi

      • ABI encoding
    • Go crypto/rand

      • randomness
    • Go crypto/tls

      • transport security

    No cryptographic primitives are re-implemented in the repository.
    pkg/auth only assembles inputs and calls upstream libraries.



    All functionality in the software produced by the project that depends on cryptography MUST be implementable using FLOSS. [crypto_floss]

    All cryptographic dependencies are FLOSS.

    Dependencies:

    • Go stdlib crypto/*

      • BSD-3-Clause
    • github.com/ethereum/go-ethereum/{crypto,common,accounts/abi,signer/core/apitypes}

      • LGPL-3.0
    • gorilla/websocket

      • BSD-2-Clause

    License verification:

    • .github/workflows/license-check.yml
    • runs:
      go-licenses check ./...

    Allowed licenses:

    • MIT
    • BSD
    • Apache
    • MPL
    • LGPL

    No proprietary cryptographic modules are required.



    The security mechanisms within the software produced by the project MUST use default keylengths that at least meet the NIST minimum requirements through the year 2030 (as stated in 2012). It MUST be possible to configure the software so that smaller keylengths are completely disabled. [crypto_keylength]
    These minimum bitlengths are: symmetric key 112, factoring modulus 2048, discrete logarithm key 224, discrete logarithmic group 2048, elliptic curve 224, and hash 224 (password hashing is not covered by this bitlength, more information on password hashing can be found in the crypto_password_storage criterion). See https://www.keylength.com for a comparison of keylength recommendations from various organizations. The software MAY allow smaller keylengths in some configurations (ideally it would not, since this allows downgrade attacks, but shorter keylengths are sometimes necessary for interoperability).

    Default cryptographic settings meet or exceed NIST SP 800-57 2030+ minimum recommendations.

    Defaults:

    • secp256k1 ECDSA signing

      • ~128-bit security level
      • required by EIP-191 / EIP-712
    • keccak-256 hashing

      • 256-bit output
      • SHA-3 family
    • Go stdlib TLS defaults

      • TLS 1.2 / 1.3
      • AES-128-GCM minimum

    Restrictions:

    • secp256k1 is the only supported signing curve
    • no configuration exists to weaken:
      • curve selection
      • key size
      • hashing algorithms

    Smaller key lengths are not configurable.



    The default security mechanisms within the software produced by the project MUST NOT depend on broken cryptographic algorithms (e.g., MD4, MD5, single DES, RC4, Dual_EC_DRBG), or use cipher modes that are inappropriate to the context, unless they are necessary to implement an interoperable protocol (where the protocol implemented is the most recent version of that standard broadly supported by the network ecosystem, that ecosystem requires the use of such an algorithm or mode, and that ecosystem does not offer any more secure alternative). The documentation MUST describe any relevant security risks and any known mitigations if these broken algorithms or modes are necessary for an interoperable protocol. [crypto_working]
    ECB mode is almost never appropriate because it reveals identical blocks within the ciphertext as demonstrated by the ECB penguin, and CTR mode is often inappropriate because it does not perform authentication and causes duplicates if the input state is repeated. In many cases it's best to choose a block cipher algorithm mode designed to combine secrecy and authentication, e.g., Galois/Counter Mode (GCM) and EAX. Projects MAY allow users to enable broken mechanisms (e.g., during configuration) where necessary for compatibility, but then users know they're doing it.

    No broken cryptographic algorithms are used in any default code path.

    Cryptographic inventory:

    • secp256k1 ECDSA
      • signing
    • keccak-256
      • hashing
    • Go crypto/rand
      • randomness
    • TLS 1.2 / 1.3
      • transport security

    The following algorithms do not appear in the source tree:

    • MD4
    • MD5
    • SHA-1
    • RC2
    • RC4
    • DES / 3DES
    • Dual_EC_DRBG

    Verification:
    grep -rE "(md4|md5|^sha1|rc4|rc2|des\.|3des|dual_ec)" --include='*.go'

    Result:

    • empty

    No interoperability fallback to legacy cryptography is required.
    Derive uses modern EIP-191 and EIP-712 signing exclusively.



    The default security mechanisms within the software produced by the project SHOULD NOT depend on cryptographic algorithms or modes with known serious weaknesses (e.g., the SHA-1 cryptographic hash algorithm or the CBC mode in SSH). [crypto_weaknesses]
    Concerns about CBC mode in SSH are discussed in CERT: SSH CBC vulnerability.

    No algorithms with known serious weaknesses are used in default code paths.

    Cryptography:

    • signing uses keccak-256
    • SHA-1 is not used

    TLS:

    • handled by Go crypto/tls
    • defaults to AEAD ciphers:
      • AES-GCM
      • ChaCha20-Poly1305
    • TLS 1.2 and TLS 1.3 only
    • CBC suites disabled
    • static RSA key exchange disabled

    Absent from the source tree:

    • RC4
    • RC2
    • DES
    • 3DES
    • MD-family hashes

    Verified via grep across *.go files.



    The security mechanisms within the software produced by the project SHOULD implement perfect forward secrecy for key agreement protocols so a session key derived from a set of long-term keys cannot be compromised if one of the long-term keys is compromised in the future. [crypto_pfs]

    Perfect forward secrecy is provided by the TLS layer.

    Transport security:

    • implemented through Go crypto/tls
    • ECDHE-based key exchange by default:
      • X25519
      • P-256
      • P-384

    TLS behavior:

    • TLS 1.2 uses ephemeral ECDHE key exchange
    • TLS 1.3 requires ephemeral key exchange
    • static RSA key exchange disabled
    • static DH key exchange disabled

    Security property:

    • compromise of long-term certificate keys cannot decrypt previously captured traffic

    The SDK does not implement its own application-level key agreement.



    If the software produced by the project causes the storing of passwords for authentication of external users, the passwords MUST be stored as iterated hashes with a per-user salt by using a key stretching (iterated) algorithm (e.g., Argon2id, Bcrypt, Scrypt, or PBKDF2). See also OWASP Password Storage Cheat Sheet. [crypto_password_storage]
    This criterion applies only when the software is enforcing authentication of users using passwords for external users (aka inbound authentication), such as server-side web applications. It does not apply in cases where the software stores passwords for authenticating into other systems (aka outbound authentication, e.g., the software implements a client for some other system), since at least parts of that software must have often access to the unhashed password.

    N/A — go-derive does not implement password-based authentication.

    Authentication model:

    • secp256k1 signatures
    • EIP-191
    • EIP-712

    The codebase contains:

    • no login flow
    • no credential database
    • no password hashing
    • no password storage

    Private keys:

    • provided by the calling application
    • held only in memory for signing
    • never serialized or persisted by the SDK


    The security mechanisms within the software produced by the project MUST generate all cryptographic keys and nonces using a cryptographically secure random number generator, and MUST NOT do so using generators that are cryptographically insecure. [crypto_random]
    A cryptographically secure random number generator may be a hardware random number generator, or it may be a cryptographically secure pseudo-random number generator (CSPRNG) using an algorithm such as Hash_DRBG, HMAC_DRBG, CTR_DRBG, Yarrow, or Fortuna. Examples of calls to secure random number generators include Java's java.security.SecureRandom and JavaScript's window.crypto.getRandomValues. Examples of calls to insecure random number generators include Java's java.util.Random and JavaScript's Math.random.

    All randomness uses Go crypto/rand, backed by the OS CSPRNG:

    • Linux: getrandom
    • macOS: arc4random_buf
    • Windows: BCryptGenRandom

    Security hardening:

    • PR #17 replaced:
      • math/rand
      • math/rand/v2
    • rewritten to use:
      • crypto/rand

    ECDSA signing:

    • signing nonces (k values) come from crypto/rand
    • provided through go-ethereum crypto.Sign

    Verification:
    grep -rE "math/rand" --include='*.go'

    Result:

    • zero matches

    No insecure RNG is reachable from any code path producing keys, nonces, or signatures.


  • Secured delivery against man-in-the-middle (MITM) attacks


    The project MUST use a delivery mechanism that counters MITM attacks. Using https or ssh+scp is acceptable. [delivery_mitm]
    An even stronger mechanism is releasing the software with digitally signed packages, since that mitigates attacks on the distribution system, but this only works if the users can be confident that the public keys for signatures are correct and if the users will actually check the signature.

    Distribution channels use HTTPS exclusively. [osps_br_03_02]



    A cryptographic hash (e.g., a sha1sum) MUST NOT be retrieved over http and used without checking for a cryptographic signature. [delivery_unsigned]
    These hashes can be modified in transit.

    No cryptographic hash is retrieved over plain HTTP and trusted without signature verification.

    Release verification:

    • .github/workflows/verify-release.yml
    • downloads occur over HTTPS
    • verification uses:
      • cosign verify-blob
      • slsa-verifier verify-artifact

    Verification checks:

    • Sigstore certificate identity validation
    • SLSA Level 3 provenance validation

    Security hardening:

    • PR #26 removed the last curl | bash pattern from CI
    • replaced with SHA-pinned:
      • codacy/codacy-coverage-reporter-action

    Dependency integrity:

    • go install uses HTTPS module transport
    • go.sum integrity verification enabled

    GitHub Actions:

    • all third-party Actions are SHA-pinned
    • enforced by:
      .github/workflows/pin-check.yml

  • Publicly known vulnerabilities fixed


    There MUST be no unpatched vulnerabilities of medium or higher severity that have been publicly known for more than 60 days. [vulnerabilities_fixed_60_days]
    The vulnerability must be patched and released by the project itself (patches may be developed elsewhere). A vulnerability becomes publicly known (for this purpose) once it has a CVE with publicly released non-paywalled information (reported, for example, in the National Vulnerability Database) or when the project has been informed and the information has been released to the public (possibly by the project). A vulnerability is considered medium or higher severity if its Common Vulnerability Scoring System (CVSS) base qualitative score is medium or higher. In CVSS versions 2.0 through 3.1, this is equivalent to a CVSS score of 4.0 or higher. Projects may use the CVSS score as published in a widely-used vulnerability database (such as the National Vulnerability Database) using the most-recent version of CVSS reported in that database. Projects may instead calculate the severity themselves using the latest version of CVSS at the time of the vulnerability disclosure, if the calculation inputs are publicly revealed once the vulnerability is publicly known. Note: this means that users might be left vulnerable to all attackers worldwide for up to 60 days. This criterion is often much easier to meet than what Google recommends in Rebooting responsible disclosure, because Google recommends that the 60-day period start when the project is notified even if the report is not public. Also note that this badge criterion, like other criteria, applies to the individual project. Some projects are part of larger umbrella organizations or larger projects, possibly in multiple layers, and many projects feed their results to other organizations and projects as part of a potentially-complex supply chain. An individual project often cannot control the rest, but an individual project can work to release a vulnerability patch in a timely way. Therefore, we focus solely on the individual project's response time. Once a patch is available from the individual project, others can determine how to deal with the patch (e.g., they can update to the newer version or they can apply just the patch as a cherry-picked solution).

    No unpatched medium-or-higher vulnerabilities are currently known.

    Current status:

    • zero GitHub Security Advisories
    • zero Dependabot alerts

    CI security scanning:

    • govulncheck
    • osv-scanner
    • Trivy filesystem scanning
      • severity threshold: MEDIUM+
    • CodeQL
    • gosec
    • Semgrep
    • Codacy SAST

    All security checks are currently green on master HEAD.

    Relevant workflows:

    • .github/workflows/ci.yml
    • .github/workflows/osv-scanner.yml
    • .github/workflows/trivy.yml
    • .github/workflows/codeql.yml
    • .github/workflows/gosec.yml
    • .github/workflows/semgrep.yml
    • .github/workflows/codacy.yml


    Projects SHOULD fix all critical vulnerabilities rapidly after they are reported. [vulnerabilities_critical_fixed]

    No critical vulnerabilities have been reported against go-derive.

    Current status:

    • GitHub Security Advisories empty
    • project age: 2 days

    The "rapid fix" requirement is currently satisfied vacuously.

    Security response policy:
    https://github.com/amiwrpremium/go-derive/blob/master/SECURITY.md

    Response targets:

    • Critical/High:

      • acknowledgment within 72 hours
      • triage update within 7 days
      • coordinated disclosure with the reporter
    • Medium/Low:

      • acknowledgment within 5 business days
      • best-effort triage thereafter

  • Other security issues


    The public repositories MUST NOT leak a valid private credential (e.g., a working password or private key) that is intended to limit public access. [no_leaked_credentials]
    A project MAY leak "sample" credentials for testing and unimportant databases, as long as they are not intended to limit public access.

    No valid private credentials exist in the repository.

    Continuous secret scanning:

    • gitleaks
    • TruffleHog
    • GitGuardian Security Checks
    • Codacy security scan

    Scanning scope:

    • every push
    • full git history

    Relevant workflows:

    • .github/workflows/gitleaks.yml
    • .github/workflows/trufflehog.yml

    Test vectors:

    • pkg/auth/*_test.go
    • use publicly-known Ethereum test keys
    • not usable credentials

    Repository contents:

    • no .env files
    • no credentials.json files

 Analysis 8/8

  • Static code analysis


    At least one static code analysis tool (beyond compiler warnings and "safe" language modes) MUST be applied to any proposed major production release of the software before its release, if there is at least one FLOSS tool that implements this criterion in the selected language. [static_analysis]
    A static code analysis tool examines the software code (as source code, intermediate code, or executable) without executing it with specific inputs. For purposes of this criterion, compiler warnings and "safe" language modes do not count as static code analysis tools (these typically avoid deep analysis because speed is vital). Some static analysis tools focus on detecting generic defects, others focus on finding specific kinds of defects (such as vulnerabilities), and some do a combination. Examples of such static code analysis tools include cppcheck (C, C++), clang static analyzer (C, C++), SpotBugs (Java), FindBugs (Java) (including FindSecurityBugs), PMD (Java), Brakeman (Ruby on Rails), lintr (R), goodpractice (R), Coverity Quality Analyzer, SonarQube, Codacy, and HP Enterprise Fortify Static Code Analyzer. Larger lists of tools can be found in places such as the Wikipedia list of tools for static code analysis, OWASP information on static code analysis, NIST list of source code security analyzers, and Wheeler's list of static analysis tools. If there are no FLOSS static analysis tools available for the implementation language(s) used, you may select 'N/A'.

    The repository runs nine FLOSS static-analysis tools on every pull request and push to master:

    • CodeQL
    • gosec
    • Semgrep
    • staticcheck
    • golangci-lint
    • Trivy
    • osv-scanner
    • govulncheck
    • Codacy analyzers

    Codacy analyzers include:

    • Revive
    • Markdownlint
    • Remark-lint
    • Checkov

    Release process:

    • releases are created through release-please PRs
    • release PRs pass through the same CI and analysis gates
    • every release is preceded by a complete static-analysis run

    Workflow definitions:
    https://github.com/amiwrpremium/go-derive/tree/master/.github/workflows



    It is SUGGESTED that at least one of the static analysis tools used for the static_analysis criterion include rules or approaches to look for common vulnerabilities in the analyzed language or environment. [static_analysis_common_vulnerabilities]
    Static analysis tools that are specifically designed to look for common vulnerabilities are more likely to find them. That said, using any static tools will typically help find some problems, so we are suggesting but not requiring this for the 'passing' level badge.

    Three static-analysis tools specifically target common Go vulnerability classes.

    gosec:

    • runs the full Go security ruleset
    • includes checks such as:
      • G101 hardcoded credentials
      • G201–G204 injection risks
      • G302–G306 file permissions
      • G401–G404 weak cryptography
      • G115 integer overflow
    • workflow:
      .github/workflows/gosec.yml

    Semgrep:

    • runs security-focused rule packs:
      • p/security-audit
      • p/golang
      • p/secrets
    • workflow:
      .github/workflows/semgrep.yml

    CodeQL:

    • uses the security-and-quality query pack
    • workflow:
      .github/workflows/codeql.yml

    All analysis runs execute on every push and pull request.



    All medium and higher severity exploitable vulnerabilities discovered with static code analysis MUST be fixed in a timely way after they are confirmed. [static_analysis_fixed]
    A vulnerability is considered medium or higher severity if its Common Vulnerability Scoring System (CVSS) base qualitative score is medium or higher. In CVSS versions 2.0 through 3.1, this is equivalent to a CVSS score of 4.0 or higher. Projects may use the CVSS score as published in a widely-used vulnerability database (such as the National Vulnerability Database) using the most-recent version of CVSS reported in that database. Projects may instead calculate the severity themselves using the latest version of CVSS at the time of the vulnerability disclosure, if the calculation inputs are publicly revealed once the vulnerability is publicly known. Note that criterion vulnerabilities_fixed_60_days requires that all such vulnerabilities be fixed within 60 days of being made public.

    All medium-or-higher severity findings from the static-analysis stack have been fixed at source.

    Examples:

    • gosec G115 integer narrowing

      • fixed in PR #17
      • explicit & 0xFFFF mask added
    • Semgrep / Opengrep math-random-used

      • fixed in PR #17
      • switched from non-CSPRNG randomness to crypto/rand

    Response time:

    • both fixes shipped within ~30 minutes of alert discovery

    Remaining open alerts:

    • low/info-severity false positives only

    Documented examples:

    • Codacy deadcode parser limitations with Go generics
    • remark-lint reference-resolution issues in Contributor Covenant templates

    Tracking document:
    https://github.com/amiwrpremium/go-derive/blob/master/docs/known-tool-issues.md



    It is SUGGESTED that static source code analysis occur on every commit or at least daily. [static_analysis_often]

    All static analysis runs on every push and pull request:

    • gosec
    • Semgrep
    • CodeQL
    • Trivy
    • Codacy
    • osv-scanner
    • govulncheck
    • staticcheck
    • golangci-lint

    Analysis frequency:

    • every commit triggers fresh analysis

    Scheduled backstop scans:

    • daily:
      • Trivy
      • OpenSSF Scorecard
    • weekly:
      • CodeQL
      • Semgrep
      • osv-scanner
      • Codacy

    Purpose:

    • catches findings introduced by updated vulnerability datasets or rulesets

    Workflow definitions:
    https://github.com/amiwrpremium/go-derive/tree/master/.github/workflows


  • Dynamic code analysis


    It is SUGGESTED that at least one dynamic analysis tool be applied to any proposed major production release of the software before its release. [dynamic_analysis]
    A dynamic analysis tool examines the software by executing it with specific inputs. For example, the project MAY use a fuzzing tool (e.g., American Fuzzy Lop) or a web application scanner (e.g., OWASP ZAP or w3af). In some cases the OSS-Fuzz project may be willing to apply fuzz testing to your project. For purposes of this criterion the dynamic analysis tool needs to vary the inputs in some way to look for various kinds of problems or be an automated test suite with at least 80% branch coverage. The Wikipedia page on dynamic analysis and the OWASP page on fuzzing identify some dynamic analysis tools. The analysis tool(s) MAY be focused on looking for security vulnerabilities, but this is not required.

    Two FLOSS dynamic-analysis mechanisms run on every push and pull request, and therefore before every release.

    1. Go race detector
    • executed via:
      go test -race -coverprofile -covermode=atomic
    • configured in:
      .github/workflows/ci.yml
    • instruments runtime memory access to detect data races
    1. Native Go fuzzing
    • 10 fuzz functions across:
      • pkg/auth
      • pkg/types
      • pkg/errors
      • internal/jsonrpc

    Fuzz targets include:

    • signer handling
    • address parsing
    • txhash parsing
    • decimal parsing
    • orderbook parsing
    • millistime parsing
    • API error JSON decoding
    • JSON-RPC decode and notification detection

    Fuzz seed corpora:

    • committed into the repository
    • executed as ordinary tests during CI


    It is SUGGESTED that if the software produced by the project includes software written using a memory-unsafe language (e.g., C or C++), then at least one dynamic tool (e.g., a fuzzer or web application scanner) be routinely used in combination with a mechanism to detect memory safety problems such as buffer overwrites. If the project does not produce software written in a memory-unsafe language, choose "not applicable" (N/A). [dynamic_analysis_unsafe]
    Examples of mechanisms to detect memory safety problems include Address Sanitizer (ASAN) (available in GCC and LLVM), Memory Sanitizer, and valgrind. Other potentially-used tools include thread sanitizer and undefined behavior sanitizer. Widespread assertions would also work.

    N/A — the project is written entirely in Go, a memory-safe language.

    Memory-safety properties:

    • no C code
    • no C++
    • no cgo usage
    • no unsafe package usage

    Verification:

    • grep -rn '"unsafe"' --include='*.go'
    • grep -rn 'import "C"' --include='*.go'

    Results:

    • both return empty

    Dependencies:

    • all modules in go.sum are pure Go


    It is SUGGESTED that the project use a configuration for at least some dynamic analysis (such as testing or fuzzing) which enables many assertions. In many cases these assertions should not be enabled in production builds. [dynamic_analysis_enable_assertions]
    This criterion does not suggest enabling assertions during production; that is entirely up to the project and its users to decide. This criterion's focus is instead to improve fault detection during dynamic analysis before deployment. Enabling assertions in production use is completely different from enabling assertions during dynamic analysis (such as testing). In some cases enabling assertions in production use is extremely unwise (especially in high-integrity components). There are many arguments against enabling assertions in production, e.g., libraries should not crash callers, their presence may cause rejection by app stores, and/or activating an assertion in production may expose private data such as private keys. Beware that in many Linux distributions NDEBUG is not defined, so C/C++ assert() will by default be enabled for production in those environments. It may be important to use a different assertion mechanism or defining NDEBUG for production in those environments.

    N/A — the project is written entirely in Go, a memory-safe language.

    Memory-safety properties:

    • no C code
    • no C++
    • no cgo usage
    • no unsafe package usage

    Verification:

    • grep -rn '"unsafe"' --include='*.go'
    • grep -rn 'import "C"' --include='*.go'

    Results:

    • both return empty

    Dependencies:

    • all modules in go.sum are pure Go


    All medium and higher severity exploitable vulnerabilities discovered with dynamic code analysis MUST be fixed in a timely way after they are confirmed. [dynamic_analysis_fixed]
    If you are not running dynamic code analysis and thus have not found any vulnerabilities in this way, choose "not applicable" (N/A). A vulnerability is considered medium or higher severity if its Common Vulnerability Scoring System (CVSS) base qualitative score is medium or higher. In CVSS versions 2.0 through 3.1, this is equivalent to a CVSS score of 4.0 or higher. Projects may use the CVSS score as published in a widely-used vulnerability database (such as the National Vulnerability Database) using the most-recent version of CVSS reported in that database. Projects may instead calculate the severity themselves using the latest version of CVSS at the time of the vulnerability disclosure, if the calculation inputs are publicly revealed once the vulnerability is publicly known.

    No medium-or-higher severity dynamic-analysis findings have been raised.

    Current status:

    • Go race detector passes on every CI build
    • fuzz-test seed corpora execute on every push
    • no crashes or panics detected since:
      • v0.1.0
      • 2026-05-05

    CI matrix:

    • ubuntu
    • macos
    • windows
    • Go 1.25
    • Go 1.26

    There are currently no pending dynamic-analysis fixes.



This data is available under the Community Data License Agreement – Permissive, Version 2.0 (CDLA-Permissive-2.0). This means that a Data Recipient may share the Data, with or without modifications, so long as the Data Recipient makes available the text of this agreement with the shared Data. Please credit AMiWR and the OpenSSF Best Practices badge contributors.

Project badge entry owned by: AMiWR.
Entry created on 2026-05-07 11:45:28 UTC, last updated on 2026-05-07 12:40:37 UTC. Last achieved passing badge on 2026-05-07 12:40:37 UTC.