GHSA-j77r-2fxf-5jrw
CRITICALImproper path handling in kustomization files allows path traversal
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Blast Radius
github.com/fluxcd/kustomize-controller🐹github.com/fluxcd/flux2Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects Go packages — download data is not available via public APIs for these ecosystems.
Description
The kustomize-controller enables the use of Kustomize’s functionality when applying Kubernetes declarative state onto a cluster. A malicious user can use built-in features and a specially crafted kustomization.yaml to expose sensitive data from the controller’s pod filesystem. In multi-tenancy deployments this can lead to privilege escalation if the controller's service account has elevated permissions.
Within the affected versions, users with write access to a Flux source are able to use built-in features to expose sensitive data from the controller’s pod filesystem using a malicious kustomization.yaml file.
This vulnerability was fixed in kustomize-controller v0.24.0 and included in flux2 v0.29.0 released on 2022-04-20. The changes introduce a new Kustomize file system implementation which ensures that all files being handled are contained within the Kustomization working directory, blocking references to any files that do not meet that requirement.
Automated tooling (e.g. conftest) could be employed as a workaround, as part of a user's CI/CD pipeline to ensure that their kustomization.yaml files conform with specific policies, blocking access to sensitive path locations.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐹Go | github.com/fluxcd/kustomize-controller | all versions | 0.24.0 |
| 🐹Go | github.com/fluxcd/flux2 | all versions | 0.29.0 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/fluxcd/kustomize-controller. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update github.com/fluxcd/kustomize-controller to 0.24.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-j77r-2fxf-5jrw is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 pinpoints whether GHSA-j77r-2fxf-5jrw is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-j77r-2fxf-5jrw. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-j77r-2fxf-5jrw in your dependencies?
O3 detects GHSA-j77r-2fxf-5jrw across Go dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.