CVE-2023-26054
Published: 06 March 2023
Summary
CVE-2023-26054 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Mobyproject Buildkit. Its CVSS base score is 6.5 (Medium).
Operationally, ranked in the top 22.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1011
Vulnerability details
BuildKit is a toolkit for converting source code to build artifacts in an efficient, expressive and repeatable manner. In affected versions when the user sends a build request that contains a Git URL that contains credentials and the build creates…
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a provenance attestation describing that build, these credentials could be visible from the provenance attestation. Git URL can be passed in two ways: 1) Invoking build directly from a URL with credentials. 2) If the client sends additional version control system (VCS) info hint parameters on builds from a local source. Usually, that would mean reading the origin URL from `.git/config` file. When a build is performed under specific conditions where credentials were passed to BuildKit they may be visible to everyone who has access to provenance attestation. Provenance attestations and VCS info hints were added in version v0.11.0. Previous versions are not vulnerable. In v0.10, when building directly from Git URL, the same URL could be visible in `BuildInfo` structure that is a predecessor of Provenance attestations. Previous versions are not vulnerable. This bug has been fixed in v0.11.4. Users are advised to upgrade. Users unable to upgrade may disable VCS info hints by setting `BUILDX_GIT_INFO=0`. `buildctl` does not set VCS hints based on `.git` directory, and values would need to be passed manually with `--opt`.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.