lex

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.
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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 12/13 ●

  • General

    Note that other projects may use the same name.

    The Elegant Bible Terminal - CLI tool for Bible study

    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.
  • 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).

    The project website and GitHub README both describe Lex in plain language: a local-first Bible study terminal for reading, searching, studying, and exporting Scripture, combining multiple Bible editions, interlinear study, lexicons, cross-references, and historical creeds in one offline CLI. The GitHub description is “The Elegant Bible Terminal - CLI tool for Bible study.”



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

    Obtain is documented (git clone + ./setup.sh, and npm install -g @n8te_/lex-cli) on both the README and https://apocalypse.press/lex/. Feedback and contribution are not. Neither the README nor the homepage tells users how to file a bug or enhancement, or how to contribute. pyproject.toml and the npm package.json list the issue tracker, but that is not on the project website. Smallest fix: add a short “Issues and contributing” section to README.md (and a CONTRIBUTING.md it can link to) that points to https://github.com/elcafe7/lex/issues for bugs and enhancements, pull requests against main for code, and SECURITY.md for vulnerabilities; optionally add the same sentence on the homepage.



    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?)

    Projects on GitHub by default use issues and pull requests, as encouraged by documentation such as https://guides.github.com/activities/contributing-to-open-source/.



    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]

    No published requirements for acceptable contributions (coding standards, tests, review expectations). docs/components/LEX_CLI.md has a local “Safe Change Checklist” including python3 -m unittest discover -s tests, but it is not presented as contribution requirements and is not linked from any contributing instructions. Justification for leaving this SHOULD unmet until the fix: there is simply no contribution-requirements page to point at today. Smallest fix: in the same CONTRIBUTING.md, require python3 -m unittest discover -s tests and npm test (in npm/lex-cli) to pass, tests for major new functionality, Python 3.12+, and no secrets in commits.


  • 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/elcafe7/lex/blob/main/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).

    The external interface (CLI input and output) is documented in docs/USER_GUIDE.md, docs/components/LEX_CLI.md, lex --help, and docs/json-output.md (schema_version 1 for --json, including error codes on stderr). The homepage also shows typical commands and their output.


  • 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 documentation, issue and PR discussion, security policy, and user-facing CLI help are in English. Bug reports and code comments are accepted 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.

    The project is actively maintained. As of this audit (12 Nov 2026, America/New_York), main is at 0559f49 (10 Nov 2026), the latest release is v2.6.8 (9 Nov 2026), and issues and PRs have been triaged and merged through that week. The repository is not archived or marked deprecated.


 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 repository is not limited to final release snapshots. main is PR-only (ruleset “Protect main”), and work lands through pull requests with reviewable interim commits (for example PRs #17, #29, #30, #31). Feature work such as Douay-Rheims and --json was reviewed on branches before merge.



    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 user-facing release has a unique version identifier. The current release is 2.6.8, set in pyproject.toml and npm/lex-cli/package.json, tagged v2.6.8, and shown by lex --version. Earlier identifiers include v2.6.7 through v2.6.0 and v2.5.1.



    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).

    Releases use Semantic Versioning (MAJOR.MINOR.PATCH), for example 2.6.8. Git tags are v followed by that number (v2.6.8).



    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 in git with a tag of the form v<version>, for example v2.6.8. The “Release tags: owner only” ruleset locks creation, update, and deletion of refs/tags/v*.


  • 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/elcafe7/lex/blob/main/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.

    N/A: there are no publicly known run-time vulnerabilities in the project results (no GitHub security advisories, no CVE assignments) that were fixed in v2.6.8 or earlier published releases. The criterion allows N/A when there have been no such publicly known vulnerabilities. Dependency findings are handled separately by the OSV release gate and are not this criterion.


 Reporting 7/8 ●

  • 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/elcafe7/lex/blob/main/SECURITY.md. [osps_do_02_01]



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

    The project uses the GitHub issue tracker for individual issues (currently three open, including #7, #12, and #18, plus a history of closed issues).



    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]

    In the 2–12 month window before this audit (about 12 Nov 2025 through 12 Sep 2026), the only bug reports were #1 (setup script vs. the system flex lexer) and #2 (missing study-mode data), both opened 20 Apr 2026. Both were acknowledged by a fix in PR #15, merged 3 Nov 2026, and the issues were closed the same day. That is a majority (in fact all) of the bug reports in the window. Newer issues are outside the 2-month floor and are not counted here.



    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.

    Enhancement requests in the 2–12 month window were answered. PR #4 (“Restore study mode verse context,” opened 28 Jun 2026) was merged 4 Sep 2026. PR #3 (installer) was later closed as superseded by npm and setup.sh. Later enhancements (#16, #18, #12, and the Douay-Rheims work) also received maintainer comments or merges, showing the project responds to enhancement requests.



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

    GitHub Issues and Pull Requests are a public, searchable archive of reports and responses, each with a stable URL, for example https://github.com/elcafe7/lex/issues.


  • 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.

    The process is published in SECURITY.md at the repository root and on the GitHub Security policy page. It tells reporters to use GitHub private vulnerability reporting (not a public issue), describes supported versions (latest 2.6.x only), and gives acknowledgement (7 days), assessment (14 days), fix, and disclosure goals.

    Warning: URL required, but no URL found.



    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).

    Private vulnerability reports are supported and the private channel is documented. SECURITY.md instructs reporters to use GitHub’s “Report a vulnerability” form at https://github.com/elcafe7/lex/security/advisories/new, and states that only the maintainer and the reporter can see the report. The repository API reports private vulnerability reporting as enabled.



    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).

    N/A: no vulnerability reports were received in the last 6 months. The GitHub security advisories list for elcafe7/lex is empty. SECURITY.md still commits to an initial response within 7 days and an assessment within 14 days, which meets this criterion’s 14-day bound when a report does arrive.


 Quality 11/13 ●

  • 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).

    Lex can be rebuilt from source with documented commands. ./setup.sh creates a Python 3.12+ venv, installs dependencies from pyproject.toml, and installs a lex wrapper. Release archives are built by .github/workflows/release.yml (and scripts/build_npm_release.sh) from a version tag. The npm package @n8te_/lex-cli is a launcher that downloads that release; it builds with ordinary npm tooling.



    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 uses common tools: Python setuptools/pip (pyproject.toml), a POSIX shell setup script, GitHub Actions, and npm for the launcher. No proprietary build system is required.



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

    The software is buildable with only FLOSS tools: Python 3, pip/setuptools, git, bash, and Node.js/npm. GitHub Actions is used for official releases but is not required to build or install from a checkout.


  • 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).

    The project has a publicly released FLOSS automated test suite in the same repository: 17 Python modules under tests/ (unittest) covering JSON/plain output, option aliases, Bible packaging, path boundaries, security gates, and more, plus Node’s test runner under npm/lex-cli/test/. The suite is invocable as python3 -m unittest discover -s tests and, for the launcher, npm test.



    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).

    The Python suite uses the standard library unittest runner: python3 -m unittest discover -s tests, documented in the Safe Change Checklist in docs/components/LEX_CLI.md. The npm launcher uses the standard npm test script (node --test), documented in npm/lex-cli/package.json and docs/NPM_PUBLISHING.md.



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

    A substantial unittest suite exists, but the project publishes no branch-coverage figures showing that most branches, inputs, and functionality are covered. This SUGGESTED criterion is left unmet rather than guessed. Smallest fix: run coverage on python3 -m unittest discover -s tests (and npm tests) in CI, publish the report, and raise coverage toward most branches (80%+ would also support dynamic_analysis).



    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]

    Code is frequently integrated onto main through pull requests, and some automated checks run on every PR and push to main (Bandit, Gitleaks, and the unit tests for those gates). The product test suite itself — python3 -m unittest discover -s tests and npm test — is not run by CI on pull requests or on main (release.yml only runs a few gate tests, and only on v* tags or workflow_dispatch). Smallest fix: add a CI workflow on pull_request and push to main that runs those two commands.


  • 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."

    The project has an informal policy (allowed by this criterion, including “word of mouth”) that major new functionality should land with automated tests. That policy is visible in practice on recent major changes, as required to also meet tests_are_added. It is not yet written down in contribution instructions; documenting it in CONTRIBUTING.md would also satisfy tests_documented_added.



    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.

    Recent major changes on main included new tests. PR #17 (--json / --plain, merged 10 Nov 2026) added tests/test_json_output.py and tests/test_option_aliases.py (and npm/lex-cli/test/launcher.test.js updates). PR #31 (Douay-Rheims 1899, merged 10 Nov 2026) added tests/test_bible_versions.py, tests/test_package_bible.py, and tests/fixtures/dra_sample.vpl. Security-gate work added tests/test_gitleaks_gate.py and tests/test_bandit_gate.py.



    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.

    The informal add-tests policy is not documented in instructions for change proposals, because those instructions do not exist yet. Smallest fix: state in CONTRIBUTING.md that major new functionality should include automated tests, and point to python3 -m unittest discover -s tests and npm test.


  • 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 project does not enable a code-quality linter or compiler-warning equivalent for its primary language, Python. There is no Ruff, flake8, pylint, or mypy configuration in the repo, and CI does not run one. Bandit and CodeQL are used, but they are static analysis for security defects (see static_analysis), not the code-quality linter this criterion asks for. The npm launcher files do start with "use strict"; that covers only the small JavaScript part. N/A does not apply: FLOSS linters exist for Python and JavaScript. Smallest fix: add a Ruff config and a CI job on pull_request and push to main that runs Ruff (and, optionally, a JS linter) and fails on findings.



    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).

    Unmet because warnings is unmet: there is no project-wide warning/linter report to address. Once Ruff (or similar) runs in CI, keep the job green by fixing findings or marking documented false positives, within the usual “fewer than 1 warning per 100 lines or fewer than 10 warnings” guidance. Bandit’s medium/high gate already addresses its own class of findings, but those belong under static_analysis_fixed.



    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.

    The project is not yet maximally strict with warnings: no warning-as-error or strict linter configuration is checked in. Smallest fix: after Ruff is in CI, enable a reasonably strict rule set and treat violations as errors where practical.


 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).

    The sole primary developer (elcafe7) is familiar with the codebase, makes the releases, and receives private vulnerability reports. Work on main through 2026 applies the design principles this criterion lists: fail-safe defaults and fail-closed release gates (OSV, Bandit, Gitleaks, and the VirusTotal guard); complete mediation and allowlist input validation for untrusted paths (scripts/safe_paths.py, npm archive entry checks, font-path allowlists); least privilege (workflow default permissions contents: read); open design (SECURITY.md and docs/RELEASE_VERIFICATION.md are public); and a limited attack surface (local-first CLI, no network service). That is evidence the primary developer knows how to design secure software as this criterion requires.



    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).

    The same primary developer has identified and mitigated common errors in this kind of software (a Python/JS local CLI that unpacks archives and reads untrusted paths): CodeQL py/path-injection was fixed in PRs #21 and #29 (0 open CodeQL alerts on main); a polynomial ReDoS finding in clean_strongs_definition was fixed; the npm launcher rejects absolute, .., symlink, and hard-link archive entries; secrets are scanned with Gitleaks 8.30.1 and GitHub secret scanning plus push protection. Those are concrete counters to path traversal, ReDoS, unsafe extraction, and credential leakage.


  • 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.

    Where Lex uses cryptography, it uses only publicly published, expert-reviewed algorithms: SHA-256 for manifest and release-archive integrity (Python hashlib, Node crypto.createHash("sha256"), sha256sum) and TLS via standard HTTPS clients when downloading releases or talking to the npm registry. It does not invent or default to unpublished algorithms.



    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]

    Lex is not a cryptography product. Integrity checks call existing libraries (Python hashlib, Node’s crypto module) and HTTPS/TLS is provided by the platform (curl, Node HTTPS, pip/npm). The project does not implement its own hash, TLS, or cipher code.



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

    The cryptographic functionality the software depends on (SHA-256 via hashlib and Node crypto, TLS via ordinary HTTPS clients) is implementable with FLOSS libraries. No proprietary crypto is 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).

    N/A: Lex does not generate or negotiate cryptographic keys. It only hashes files with SHA-256 and relies on platform TLS for transport. There is no application-level key length to configure.



    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.

    Default integrity and transport mechanisms do not depend on broken algorithms (MD4, MD5, single DES, RC4, or similar). File integrity uses SHA-256. Downloads use HTTPS. Checksums are not accepted over unauthenticated HTTP.



    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.

    Defaults do not depend on algorithms or modes with known serious weaknesses (for example SHA-1 or encryption without integrity). Integrity checking is SHA-256; transport is standard TLS via HTTPS.



    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]

    N/A: Lex does not implement key-agreement protocols. Session keys and PFS, when they apply, are properties of the HTTPS servers and TLS libraries used to fetch releases (GitHub, npm), not of Lex itself.



    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: Lex does not store passwords for authentication of external users. It is a local-first CLI with no user-account system.



    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.

    N/A: Lex does not generate cryptographic keys or nonces. The only crypto it performs on the client is SHA-256 hashing of files for integrity checks.


  • 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.

    Release checksums (lex-v*.tar.gz.sha256 and SHA256SUMS) are published and retrieved only over HTTPS from GitHub, not over http. The npm launcher compares the archive to that SHA-256 hash before use. Releases also have Sigstore/GitHub attestations, so the hash is not the only integrity check.


  • 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).

    There are no unpatched publicly known medium or higher severity vulnerabilities more than 60 days old. GitHub security advisories: none. Open Dependabot alerts: none. Open CodeQL alerts on main: none (33 fixed, 15 dismissed historically). The release workflow fails closed on OSV findings at CVSS 7.0 or higher, and also holds the release for lower-rated and unscored advisories, so a published v2.6.8 report records 0 known vulnerabilities.



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

    There are currently no known critical vulnerabilities in Lex. SECURITY.md says confirmed high or critical issues are aimed at a patch release within 30 days. The release OSV gate blocks publication if a CVSS 7.0+ (high or critical) advisory is present.


  • 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.

    Public repositories are scanned so that valid private credentials are not leaked. GitHub secret scanning and push protection are enabled (0 open secret-scanning alerts). Gitleaks CLI 8.30.1 (checksum-verified, always --redact) runs on pull requests, pushes to main, weekly, and as a blocking release gate; the introduction full-history scan (150 commits) found 0 leaks. .gitleaks.toml only allowlists proven historical false positives, each with a reason.


 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'.

    Static analysis (beyond compiler warnings) is applied before production releases. GitHub CodeQL default setup is configured for Python and GitHub Actions (default query suite, weekly plus analysis of main and pull requests). Bandit (Python SAST) runs on every pull request, every push to main, weekly, and as a blocking job in release.yml: any medium or high finding, at any confidence, fails the release. Evidence: .github/workflows/bandit.yml, .github/workflows/release.yml, and CodeQL analyses on main at 0559f49.



    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.

    Both tools used for static_analysis look for common vulnerability classes. CodeQL’s default suite includes path injection, ReDoS, and similar queries (historically raised and fixed on this repo). Bandit is a security-focused Python analyzer whose rules cover injection, unsafe subprocess use, and related issues.



    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.

    Medium and higher severity exploitable findings from static analysis are fixed or otherwise closed before they remain on main. CodeQL on main currently has 0 open alerts (33 fixed, 15 dismissed with recorded dispositions). Bandit medium and high findings block the release job, so a published release cannot carry them. Recent examples: PR #21 (path-injection reachable from untrusted input), PR #29 (alert #58 in the LXX lemma import), and the DRA packager confinement for alert #65 in PR #31.



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

    Static analysis runs more often than just at release. Bandit and Gitleaks run on every pull request and every push to main, plus weekly. CodeQL default setup analyzes main and pull requests and is scheduled weekly.


  • 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.

    This criterion needs a dynamic analysis tool that varies inputs to look for problems, or an automated test suite with at least 80% branch coverage. Lex has a unittest suite, but no published coverage at that bar, and no fuzzer or similar dynamic analyzer is applied before release. Smallest fix: either publish branch coverage of 80% or more for the test suite, or add a small fuzz/property test (for example on CLI/JSON parsing or path-boundary checks) in CI before release.



    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 software produced by the project is written in Python, JavaScript, and Shell, not in a memory-unsafe language such as C or C++. GitHub language stats are Python (~627k), JavaScript (~46k), and Shell (~51k).



    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.

    The project does not yet run a dynamic analysis configuration (fuzzing or a high-coverage test pass) that deliberately enables many program assertions. Python unittest assertions run when developers invoke the suite locally, but that is not set up as a documented dynamic-analysis configuration, and production lex.py does not use a dense assert() style. Smallest fix: once a CI test or fuzz job exists, run it with assertions enabled (the Python default) and, where useful, add internal asserts on invariants in path and parse code.



    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.

    N/A: the project is not yet running dynamic analysis in the sense of the dynamic_analysis criterion (no fuzzer, and no published 80%+ branch-coverage suite), so no medium or higher severity exploitable vulnerabilities have been discovered that way.



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Project badge entry owned by: elcafe7.
Entry created on 2026-11-09 20:57:47 UTC, last updated on 2026-11-13 02:27:40 UTC.