TensorFlow

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 1486 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.

        

 Basics 13/13 ●

  • Identification

    Note that other projects may use the same name.

    Computation using data flow graphs for scalable machine learning

    What programming language(s) are used to implement the project?
    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


    Enough for a badge!

    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).

    On the tensorflow.org home page, in the "About TensorFlow" box.


    Enough for a badge!

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

    Contributions howto is in the canonical place: https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md How to obtain: installation guides are here: https://www.tensorflow.org/install/, including how to install from source How to provide feedback: community site, "Support" section (on the bottom): https://www.tensorflow.org/community/welcome


    Enough for a badge!

    Habari juu ya jinsi ya kuchangia LAZIMA ieleze mchakato wa uchangiaji (kwa mfano, je! Maombi ya kuvuta yanatumika?) (URL required) [contribution]
    Tunafikiria kuwa miradi kwenye GitHub hutumia maswala na kuvuta maombi isipokuwa palipoonyeshwa vingine. Habari hii inaweza kuwa fupi, kwa mfano, ikisema kuwa mradi hutumia maombi ya kuvuta, msako wa suala, au machapisho kwenye orodha ya barua (ipi?)

    Contributions howto is in the canonical place: https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md


    Enough for a badge!

    Habari juu ya jinsi ya kuchangia INAPASWA kujumuisha mahitaji ya michango inayokubalika (k.m., rejeleo la kiwango chochote kinachohitajika cha usimbaji). (URL required) [contribution_requirements]

    Contributions howto: https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md includes sections on Python/C++ style used, review standards and process.


  • FLOSS license

    What license(s) is the project released under?
    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.


    Enough for a badge!

    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 Apache-2.0 license is approved by the Open Source Initiative (OSI).


    Enough for a badge!

    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 Apache-2.0 license is approved by the Open Source Initiative (OSI).


    Enough for a badge!

    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/tensorflow/tensorflow/blob/master/LICENSE.


  • Documentation


    Enough for a badge!

    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).

    TensorFlow documentation, including most of tensorflow.org is built using custom tooling from sources in the repository itself (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/docs_src as well as inline docs in the source code). In particular:

    API reference documentation: https://www.tensorflow.org/api_docs/

    Getting started: https://www.tensorflow.org/get_started/

    Tutorials: https://www.tensorflow.org/tutorials/

    Programmer's guide https://www.tensorflow.org/programmers_guide/


    Enough for a badge!

    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).

    There is the API reference: https://www.tensorflow.org/api_docs/

    Also, guides on how to integrate TensorFlow models (maybe, the output?) into downstream software: https://www.tensorflow.org/deploy/


  • Other


    Enough for a badge!

    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.


    Enough for a badge!

    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. Also, open and archived mailing list: discuss@tensorflow.org


    Enough for a badge!

    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.

    See our documentation and track record of accepting bug reports in the issue tracker, mostly in English.


    Enough for a badge!

    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.


(Advanced) What other users have additional rights to edit this badge entry? Currently: []
Most projects should ignore this field. Project badge entries can always be edited by the badge entry owner (creator), BadgeApp administrators, and anyone who can commit to the GitHub repository (if it's on GitHub). If you want someone else to be able to edit this badge entry, and you already have edit rights to this project badge entry, you can additional users with edit rights. Just enter "+" followed by a comma-separated list of integer user ids. Those users will then also be allowed to edit this project entry. If you're the owner of the badge entry or a BadgeApp administrator, you can remove users from this list by entering "-" followed by a comma-separated list of integer user ids. We expect that normally only one person will edit a particular badge entry at a time. This application uses optimistic locking to prevent saving stale data if multiple users try to edit a badge entry simultaneously. If you have multiple editors, we recommend saving badge entry data incrementally and often (that is a wise practice anyway).



 Change Control 9/9 ●

  • Public version-controlled source repository


    Enough for a badge!

    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.


    Enough for a badge!

    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.


    Enough for a badge!

    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 code repository includes all intermediate commits in the repo, as well as tags for alpha versions and release candidates where those exists.


    Enough for a badge!

    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


    Enough for a badge!

    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).

    We use semver 2.0, as explained here: https://www.tensorflow.org/programmers_guide/version_compat


    Enough for a badge!

    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).

    Enough for a badge!

    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]

    See https://github.com/tensorflow/tensorflow/releases. All releases are tagged.


  • Release notes


    Enough for a badge!

    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.

    Please see https://github.com/tensorflow/tensorflow/releases for the public release notes by release, we also maintain this as a single file: https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md.


    Enough for a badge!

    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.

    We have started to release CVEs for vulnerabilities reported through our reporting process, and will identify fixes for those in release notes.


 Reporting 8/8 ●

  • Bug-reporting process


    Enough for a badge!

    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]

    Github issues: https://github.com/tensorflow/tensorflow/issues


    Enough for a badge!

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

    Using github issues: https://github.com/tensorflow/tensorflow/issues


    Enough for a badge!

    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]

    You could collect statistics from https://github.com/tensorflow/tensorflow/issues, but we try to reply to every issue.


    Enough for a badge!

    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.

    We try to respond to all feature requests.


    Enough for a badge!

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

    We use Github issues: https://github.com/tensorflow/tensorflow/issues


  • Vulnerability report process


    Enough for a badge!

    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.

    https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md has an explanation of best security practices, along with a process for reporting vulnerabilities.


    Enough for a badge!

    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).

    https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md includes a PGP key that can be used for privately reporting issues to security@tensorflow.org


    Enough for a badge!

    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).

    https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md explains a commitment to initial response within a business day, instituted Feb 2018. Within the last 6 months, we have responded to vulnerability reports within 14 days.


 Quality 13/13 ●

  • Working build system


    Enough for a badge!

    Ikiwa programu iliyotengenezwa na mradi inahitaji ujenzi wa matumizi, mradi LAZIMA utoe mfumo wa kujenga ambao unaweza kujenga programu kiotomatiki kutoka kwa chanzo-msimbo. [build]
    Mfumo wa kujenga huamua ni hatua gani zinahitaji kutendeka ili kujenga tena programu (na kwa mpangilio gani), na kisha kutekeleza hatua hizo. Kwa mfano, inaweza kuomba kikusanyaji kukusanya fumbo-chanzo. Ikiwa inayoweza kutekelezwa imeundwa kutoka kwa fumbo-chanzo, lazima iwezeshe marekebisho kwenye fumbo-chanzo ya mradi na kisha itengeneze msasisho inayoweza kutekelezwa na marekebisho hayo. Ikiwa programu iliyotolewa na mradi unategemea maktaba ya nje, mfumo wa kujenga haina haja ya kujenga maktaba hizo za nje. Ikiwa hakuna haja ya kujenga chochote kutumia programu baada ya fumbo-chanzo kubadilishwa, chagua "haitumiki" (N / A).

    TensorFlow uses bazel, but supports building interesting parts with either CMAKE or via Makefiles.


    Enough for a badge!

    INAPENDEKEZWA kuwa zana za kawaida zitumike kujenga programu. [build_common_tools]
    Kwa mfano, Maven, Ant, cmake, autotools, make, rake (Ruby), au devtools (R).

    bazel, cmake and make should count as common tools.


    Enough for a badge!

    Mradi UNAPASWA kujengwa kwa kutumia zana za FLOSS pekee yake. [build_floss_tools]

    Only OSS tooling is required to build TensorFlow, although some features (OpenCL support, CUDA support) require proprietary compilers.


  • Automated test suite


    Enough for a badge!

    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).

    Tests are maintained with TensorFlow, in files next to the code.


    Enough for a badge!

    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 tests are invocable in the standard way for the build system (bazel or cmake). Since TensorFlow is written in at least two languages (not counting the language bindings), language level testing doesn't make as much sense.


    Enough for a badge!

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

    Code Coverage is above 90% for non-contrib TensorFlow.


    Enough for a badge!

    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]

    PRs are tested before merge, and CI runs on every commit to master.


  • New functionality testing


    Enough for a badge!

    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."

    All new code submitted to TensorFlow is supposed to have tests, enforced by human review (see https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md#general-guidelines-and-philosophy-for-contribution)


    Enough for a badge!

    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.

    PRs are rejected or stalled for lack of tests. You can look through the PRs we accept and see that there are tests, and that tests are asked for if not present.


    Enough for a badge!

    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.

    Our contributions guidelines state that "Include unit tests when you contribute new features, as they help to a) prove that your code works correctly, b) guard against future breaking changes to lower the maintenance cost. Bug fixes also generally require unit tests, because the presence of bugs usually indicates insufficient test coverage."

    (https://github.com/tensorflow/tensorflow/blob/master/CONTRIBUTING.md#general-guidelines-and-philosophy-for-contribution)


  • Warning flags


    Enough for a badge!

    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.

    Using cpplint and gpylint.


    Enough for a badge!

    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).

    Because we compile the C++ parts of TF for many different platforms (and with many different compilers), it is not possible to fix all warnings, but we do try to fix warnings where we can (and we accept contributions doing nothing but fix compiler warnings on some platforms).


    Barely enough for a badge.

    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.

    There are likely optional warnings we could enable but don't.


 Security 16/16 ●

  • Secure development knowledge


    Enough for a badge!

    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).

    There are several people with relevant experience on the TensorFlow team.


    Enough for a badge!

    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).

    There are several people with relevant experience on the TensorFlow team.


  • 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.

    Enough for a badge!

    Programu iliyotengenezwa na mradi LAZIMA itumie, kwa chaguo-msingi, tu itifaki za kriptografia na mifumbo ambazo zimechapishwa hadharani na kukaguliwa na wataalam (ikiwa itifaki za kriptografia na mafumbo imetumika). [crypto_published]
    Vigezo hivi vya kriptografia mara mingi havitumiki kwa sababu programu zingine hazina haja ya kutumia moja kwa moja uwezo wa kriptografia.

    Enough for a badge!

    Ikiwa programu iliyotengenezwa na mradi ni programu au maktaba, na kusudi lake la msingi sio kutekeleza usimbuaji, basi INAPASWA tu kuita programu iliyoundwa kihususa kutekeleza kazi za kielelezo; HAIPASWI kutekeleza-upya shughuli hiyo. [crypto_call]

    Enough for a badge!

    Utendaji wote katika programu iliyotengenezwa na mradi ambayo inategemea usimbuaji LAZIMA iweze kutekelezwa kwa kutumia FLOSS. [crypto_floss]
    Tazama Mahitaji ya Viwango wazi ya Programu kupitia Open Source Initiative.

    Enough for a badge!

    Mifumo ya usalama ndani ya programu inayozalishwa na mradi LAZIMA itumie kwa msingi keylengths ambazo angalau zinakidhi mahitaji ya chini ya NIST kufikia mwaka wa 2030 (kama ilivyoelezwa mnamo 2012). LAZIMA iwe rahisi kusanidi programu ili keylengths ndogo zimezimwa kabisa. [crypto_keylength]
    Vipimo hivi vya urefu wa charaza ni: symmetric key 112, factoring modulus 2048, discrete logarithm key 224, discrete logarithmic group 2048, elliptic curve 224, na hash 224 (ufichuzi wa nywila haujashughulikiwa kwenye urefu wa charaza hii, maelezo zaidi ya ufichuzi wa nywila yanapatikana ndani ya kigezo cha crypto_password_storage). Ona https://www.keylength.com kwa mliganisho wa mapendekezo ya funguo-refu kutoka mashirika mbali mbali. Programu YAWEZA kubali funguo-refu ndogo katika usanidi (haifai kukubali, maana hii huwacha mashambulizi ya kushusha, lakini funguo-refu fupi wakati mwingine ina manufaa ya upatanifu).

    Enough for a badge!

    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.

    Enough for a badge!

    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.

    Enough for a badge!

    Mifumo ya usalama ndani ya programu iliyotengenezwa na mradi INAPASWA kutekeleza kwa ukamilifu usiri wa umbele ya itifaki za makubaliano ya funguo ili funguo la kipindi kilicho tokana na kikao cha vifungo muda-mrefu haziwezi kuridhi mabaya ikiwa mojawapo ya vifunguo vya muda-mrefu imeridhi mabaya katika usoni. [crypto_pfs]

    Enough for a badge!

    Ikiwa programu iliyotengenezwa na mradi imesababisha uhifadhi wa nywila kwa minajili ya uthibitishaji ya watumiaji wa kutoka nje, nywila LAZIMA zihifadhiwe kwa mficho uliorudiarudia na chumvi kwa kila-mtumiaji kwa kutumia kanuni ya upanuaji (rudiarudia) wa funguo (k.m., Argon2id, Bcrypt, Scrypt, or PBKDF2). Ona pia Kurasadogo ya Uhifadhi wa Nywila la OWASP). [crypto_password_storage]
    Kigezo hili linatumika tu wakati programu linatekeleza uthibitishaji wa watumiaji kutumia nywila kwa watumiaji wa nje (ambayo pia ni uthibitishaji unaelekezwa ndani), kama vile programu za tovuti zinazobakia seva). Haitumiki katika visa ambavyo programu inahifadhi nywila ili kudhibitisha ndani ya mifumo mingine (ambayo pia ni ithibitishaji unaelekezwa nje, k.m., programu inatekeleza teja la mfumo lingineyo), maana angalau sehemu za programu lazima ziwe na njia ya kupata hiyo nywila isigalifichwa.

    Enough for a badge!

    Mifumo ya usalama ndani ya programu iliyotengenezwa na mradi LAZIMA itoe funguo zote za kriptologia na nonces kwa kutumia kitengeneza cha nambari za bahati kuptia kriptologia salama, na ISIWEZE kufanya hivo kutumia vitengenezi zisizo salama kikriptologia. [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.

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


    Enough for a badge!

    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.

    Binary downloads are available through https. Packages are not signed, but checksums are published on GitHub.


    Enough for a badge!

    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.

    We do not use any such mechanism in TensorFlow, or for the delivery of TensorFlow.


  • Publicly known vulnerabilities fixed


    Enough for a badge!

    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 publicly known medium or high severity vulnerabilities at the moment. Vulnerabilities that have become known were fixed (e.g. https://github.com/tensorflow/tensorflow/pull/14967, within a day of the initial report).


    Enough for a badge!

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

    So far, no critical vulnerabilities reported.


  • Other security issues


    Enough for a badge!

    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 private credentials in the repositories.


 Analysis 8/8 ●

  • Static code analysis


    Enough for a badge!

    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'.

    We're using Clangs analysis tools: http://clang.llvm.org/docs/AddressSanitizer.html http://clang.llvm.org/docs/ThreadSanitizer.html http://clang.llvm.org/docs/MemorySanitizer.html

    as well as cpplint and clang-tidy for C++ code, and pylint for Python.


    Enough for a badge!

    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.

    All our analysis tools are general purpose. However, AddressSanitizer does have "rules to look for common vulnerabilities in the analyzed language" (buffer overruns in particular).


    Enough for a badge!

    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.

    Static analysis is run continuously, and issues found are treated like broken builds and fixed as soon as feasible.


    Enough for a badge!

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

    Static analysis runs continuously.


  • Dynamic code analysis


    Barely enough for a badge.

    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.

    Not running fuzzing.


    Barely enough for a badge.

    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.

    We do not use a fuzzer, but we do use ASAN, MSAN, and TSAN (see static analysis above).


    Enough for a badge!

    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.

    There are many assertions.


    Enough for a badge!

    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.

    Not running dynamic analysis.



This data is available under the Creative Commons Attribution version 3.0 or later license (CC-BY-3.0+). All are free to share and adapt the data, but must give appropriate credit. Please credit Martin Wicke and the OpenSSF Best Practices badge contributors.

Project badge entry owned by: Martin Wicke.
Entry created on 2017-12-21 00:29:43 UTC, last updated on 2019-01-18 23:32:59 UTC. Last achieved passing badge on 2019-01-18 23:32:59 UTC.

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