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GHSA-5ffw-gxpp-mxpf CVE-2022-31030 GO-2022-0482

containerd CRI plugin: Host memory exhaustion through ExecSync

Medium Go
Severity
5.5 / 10
Medium · CVSS 3.1
Exploit chance (EPSS)
0.39%
Chance of exploitation in the next 30 days. Higher than 32.79% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-400 Uncontrolled Resource Consumption
Fix
1.5.13
Upgrade github.com/containerd/containerd to this version or later

Description

Impact

A bug was found in containerd's CRI implementation where programs inside a container can cause the containerd daemon to consume memory without bound during invocation of the ExecSync API. This can cause containerd to consume all available memory on the computer, denying service to other legitimate workloads. Kubernetes and crictl can both be configured to use containerd's CRI implementation; ExecSync may be used when running probes or when executing processes via an "exec" facility.

Patches

This bug has been fixed in containerd 1.6.6 and 1.5.13. Users should update to these versions to resolve the issue.

Workarounds

Ensure that only trusted images and commands are used.

References

Credits

The containerd project would like to thank David Korczynski and Adam Korczynski of ADA Logics for responsibly disclosing this issue in accordance with the containerd security policy during a security audit sponsored by CNCF and facilitated by OSTIF.

For more information

If you have any questions or comments about this advisory:

Affected versions

Go

PackageVulnerableFixed in
github.com/containerd/containerd
< 1.5.13
1.5.13
github.com/containerd/containerd
>= 1.6.0, < 1.6.6
1.6.6
github.com/containerd/containerd
< 1.5.13
>= 1.6.0, < 1.6.6
1.5.13
1.6.6

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

github.com/containerd/containerd Go → 1.5.13

go
go get github.com/containerd/containerd@v1.5.13 && go mod tidy

Severity breakdown

CVSS 3.1 5.5

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Attack vector
Local
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Weakness

CWE-400: Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

How to prevent it
  • Architecture and Design: Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
  • Architecture and Design: Mitigation of resource exhaustion attacks requires that the target system either: recognizes the attack and denies that user further access for a given amount of time, or uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed. The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question. The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • Implementation: Ensure that all failures in resource allocation place the system into a safe posture.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-rp3h-jf77-q9p4
containerd: Unpack DoS via repeated opaque whiteouts
Medium Also affects github.com/containerd/containerd
GO-2026-6791
containerd CRI plugin: Checkpoint restore bypasses destination security context
High Also affects github.com/containerd/containerd
GHSA-pg57-6jwg-q645
Containerd has image-pull DoS via crafted OCI index graph amplification
Medium Also affects github.com/containerd/containerd
GHSA-7jxh-36q5-gcqv
containerd: CRI ExecSync Goroutine Leak Leads to Node-Level Denial of Service
Medium Also affects github.com/containerd/containerd
GO-2026-5064
containerd CRI checkpoint restore CDI annotation smuggling
Critical Also affects github.com/containerd/containerd
GO-2026-5622
Arbitrary host CRI log file read via symlink following in CRI checkpoint restore
Medium Also affects github.com/containerd/containerd
GHSA-xhf5-7wjv-pqxp
containerd CRI — image-config `LABEL` flows to restart-monitor `binary://` logger: host-root command execution from an image pull
High Also affects github.com/containerd/containerd
GO-2026-5338
containerd: CRI checkpoint import allows local image tag poisoning
Critical Also affects github.com/containerd/containerd
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