containerd OCI image importer memory exhaustion

Open Source Vulnerabilities GO-2023-1573

When importing an OCI image, there was no limit on the number of bytes read from the io.Reader passed into ImportIndex. A large number of bytes could be read from this and could cause a denial of service.

Open Source Vulnerabilities GHSA-259w-8hf6-59c2

### Impact When importing an OCI image, there was no limit on the number of bytes read for certain files. A maliciously crafted image with a large file where a limit was not applied could cause a denial of service. ### Patches This bug has been fixed in containerd 1.6.18 and 1.5.18. Users should update to these versions to resolve the issue. ### Workarounds Ensure that only trusted images are used and that only trusted users have permissions to import images. ### Credits The containerd project would like to thank [David Korczynski](https://github.com/DavidKorczynski) and [Adam Korczynski](https://github.com/AdamKorcz) of ADA Logics for responsibly disclosing this issue in accordance with the [containerd security policy](https://github.com/containerd/project/blob/main/SECURITY.md) during a security fuzzing audit sponsored by CNCF. ### For more information If you have any questions or comments about this advisory: * Open an issue in [containerd](https://github.com/containerd/containerd/issues/new/choose) * Email us at [[email protected]](mailto:[email protected]) To report a security issue in containerd: * [Report a new vulnerability](https://github.com/containerd/containerd/security/advisories/new) * Email us at [[email protected]](mailto:[email protected])

Open Source Vulnerabilities CVE-2023-25153

containerd is an open source container runtime. Before versions 1.6.18 and 1.5.18, when importing an OCI image, there was no limit on the number of bytes read for certain files. A maliciously crafted image with a large file where a limit was not applied could cause a denial of service. This bug has been fixed in containerd 1.6.18 and 1.5.18. Users should update to these versions to resolve the issue. As a workaround, ensure that only trusted images are used and that only trusted users have permissions to import images.