/advisory-database

Security vulnerability database inclusive of CVEs and GitHub originated security advisories from the world of open source software.

Creative Commons Attribution 4.0 InternationalCC-BY-4.0

GitHub Advisory Database

A database of CVEs and GitHub-originated security advisories affecting the open source world.

The database is free and open source and is a tool for and by the community.

Submit pull requests to help improve our database of software vulnerability information for all.

Goals

  • To provide a free and open-source repository of security advisories.
  • To enable our community to crowd-source their knowledge about these advisories.
  • To surface vulnerabilities in an industry-accepted formatting standard for machine interoperability.

Features

All advisories acknowledged by GitHub are stored as individual files in this repository. They are formatted in the Open Source Vulnerability (OSV) format.

You can submit a pull request to this database (see, Contributions) to change or update the information in each advisory.

Pull requests will be reviewed and either merged or closed by our internal security advisory curation team. If the advisory originated from a GitHub repository, we will also @mention the original publisher for optional commentary.

Sources

We add advisories to the GitHub Advisory Database from the following sources:

If you know of another database we should be importing advisories from, tell us about it by opening an issue in this repository.

Contributions

There are two ways to contribute to the information provided in this repository.

From any individual advisory on github.com/advisories, click Suggest improvements for this vulnerability (shown below) to open an "Improve security advisory" form. Edit the information in the form and click Submit improvements to open a pull request with your proposed changes.

Screen shot showing the "Suggest improvements for this vulnerability" link in the right sidebar

Alternatively, you can submit a pull request directly against a file in this repository. To do so, follow the contribution guidelines.

Supported ecosystems

Unfortunately, we cannot accept community contributions to advisories outside of our supported ecosystems. Our curation team reviews each community contribution thoroughly and needs to be able to assess each change.

Generally speaking, our ecosystems are the namespace used by a package registry. As such they’re focused on packages within the registry which tend to be dependencies used in software development.

Our supported ecosystems are:

If you have a suggestion for a new ecosystem we should support, please open an issue for discussion.

License

This project is licensed under the terms of the CC-BY 4.0 open source license. Please see our documentation for the full terms.

GHSA IDs

Each security advisory, regardless of its type, has a unique identifier referred to as a GHSA ID.

A GHSA-ID qualifier is assigned when a new advisory is created on GitHub or added to the GitHub Advisory Database from any of the supported sources.

The syntax of GHSA IDs follows this format: GHSA-xxxx-xxxx-xxxx where

  • x is a letter or a number from the following set: 23456789cfghjmpqrvwx.
  • Outside the GHSA portion of the name:
    • The numbers and letters are randomly assigned.
    • All letters are lowercase.

You can validate a GHSA ID using a regular expression: /GHSA(-[23456789cfghjmpqrvwx]{4}){3}/

database_specific Values

The OSV Schema supports several database_specific JSON object fields that are used to add context to various other parts of the OSV schema, namely an affected package, a package's affected ranges, and the vulnerability as a whole. Per the spec, these fields are used for holding additional information about the package, range, or vulnerability "as defined by the database from which the record was obtained." It additionally stipulates that the meaning and format of these custom values "is entirely defined by the database [of record]" and outside of the scope of the OSV Schema itself.

For its purposes, GitHub uses a number of database_specific values in its OSV files. They are used primarily in support of Community Contributions and are intended for internal use only unless otherwise specified. These values and their format are subject to change without notice. Consuming systems should not rely on them for processing vulnerability information.

Scope Field Purpose
vulnerability severity The OSV schema supports quantitative severity scores such as CVSS. GitHub additionally assigns each vulnerability a non-quantitative human-readable severity value.
vulnerability cwe_ids GitHub assigns each vulnerability at least one Common Weakness Enumeration (CWE) as part of its vulnerability curation process. These IDs map directly to CWE IDs tracked in the CWE Database.
vulnerability github_reviewed Whether a vulnerability has been reviewed by one of GitHub's Security Curators.
vulnerability github_reviewed_at The timestamp of the last review by a GitHub Security Curator.
range last_known_affected_version_range The OSV schema does not have native support for all of the potential ways GitHub represents vulnerabile version ranges internally. It is used to track version range information that is not representable in OSV format, or that GitHub needs to be able to track separately from the OSV ranges. This field may appear in addition to or in place of OSV affected range events. See this comment a technical explanation.

FAQ

Who reviews the pull requests?

Our internal Security Advisory Curation team reviews the pull requests. They make the ultimate decision to merge or close. If the advisory originated from a GitHub repository, we will also @mention the original publisher for optional commentary.

Why is the base branch changed on a PR?

This repository is a mirror of our advisory database. All contributions to this repository are merged into the main branch via our primary data source to preserve data integrity.

We automatically create a staging branch for each PR to preserve the GitHub workflow you're used to. When a contribution is accepted from a PR in this repository, the changes are merged into the staging branch and then pushed to the primary data source to be merged into main by a separate process, at which point the staging branch is deleted.

Will the structure of the database change?

Here at GitHub, we ship to learn! As usage patterns emerge, we may iterate on how we organize this database and potentially make backwards-incompatible changes to it.

Where can I get more information about GitHub advisories?

Information about creating a repository security advisory can be found here, and information about browsing security advisories in the GitHub Advisory Database can be found here.