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CVE-2026-95838 — containerd

Fix: containerd/containerd@e6ca378

CVE-2026-95838 is a Uncontrolled Resource Consumption vulnerability in github.com/containerd/containerd/v2. A fix is available for github.com/containerd/containerd/v2 — see the affected versions and patch details below.

containerd: Unpack DoS via repeated opaque whiteouts

Also known asGHSA-rp3h-jf77-q9p4GO-2026-6796
Published
Updated
Affected
4 pkgs
Patched
4 / 4
Exploits
None indexed
Exploitation data as of Oct 22, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs11th percentile — riskier than 11% of all scored CVEsHighest risk

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

Real-World Exposure

4 pkgs affected
🐹github.com/containerd/containerd/v2🐹github.com/containerd/containerd🐹github.com/containerd/containerd/v2🐹github.com/containerd/containerd/v2

Real-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

Impact

A vulnerability exists in containerd's layer unpack handler where the processing of certain image layers causes superlinear time complexity. During the unpack operation, specific file configurations within the layer can trigger repeated directory traversals.

Consequently, pulling or importing a maliciously crafted image can result in increased unpack times and a moderate increase in CPU usage. This delays container startup, even if the compressed image layers are small. Additionally, in orchestrators like Kubernetes that apply concurrency limits to image pulls, these excessively long operations can reduce the available concurrency for other pulls, potentially delaying unrelated container deployments.

Patches

This bug has been fixed in containerd 2.3.5, 2.2.8, 2.0.12, and 1.7.35. Users should update to these versions to resolve the issue.

Workarounds

There are no known workarounds for this issue. Users are advised to only pull and import trusted images from known registries until the patch can be applied.

Credits

The containerd project would like to thank Jakub Ciolek of AlphaSense for responsibly disclosing this issue in accordance with the containerd security policy.

For more information

If you have any questions or comments about this advisory:

To report a security issue in containerd:

Affected Packages

4 total 4 fixed
EcosystemPackageVulnerable rangeFix
🐹Gogithub.com/containerd/containerd/v2all versions2.0.12go get github.com/containerd/containerd/v2@v2.0.12
🐹Gogithub.com/containerd/containerdall versions1.7.35go get github.com/containerd/containerd@v1.7.35
🐹Gogithub.com/containerd/containerd/v2≥ 2.2.0&&< 2.2.82.2.8go get github.com/containerd/containerd/v2@v2.2.8
🐹Gogithub.com/containerd/containerd/v2≥ 2.3.0&&< 2.3.52.3.5go get github.com/containerd/containerd/v2@v2.3.5

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for github.com/containerd/containerd/v2, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update github.com/containerd/containerd/v2 to 2.0.12 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-95838 is resolved across your whole dependency graph.

  3. Workarounds

    Resolve every user-supplied path to its canonical form and reject anything that escapes the intended directory, and run the component under an account that has no read or write access outside the directory it legitimately serves.

Frequently Asked Questions

### Impact A vulnerability exists in containerd's layer unpack handler where the processing of certain image layers causes superlinear time complexity. During the unpack operation, specific file configurations within the layer can trigger repeated directory traversals. Consequently, pulling or importing a maliciously crafted image can result in increased unpack times and a moderate increase in CPU usage. This delays container startup, even if the compressed image layers are small. Additionally, in orchestrators like Kubernetes that apply concurrency limits to image pulls, these excessively l
O3 Security · Impact-Aware SCA

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CVE-2026-95838: containerd — Fixed in 2.0.12