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Node DOS by way of memory exhaustion through ExecSync request in CRI-O

High severity GitHub Reviewed Published Jun 6, 2022 in cri-o/cri-o • Updated Jul 24, 2023

Package

gomod github.com/cri-o/cri-o (Go)

Affected versions

= 1.24.0
>= 1.23.0, < 1.23.3
< 1.22.5

Patched versions

1.24.1
1.23.3
1.22.5

Description

Description

An ExecSync request runs a command in a container and returns the output to the Kubelet. It is used for readiness and liveness probes within a pod. The way CRI-O runs ExecSync commands is through conmon. CRI-O asks conmon to start the process, and conmon writes the output to disk. CRI-O then reads the output and returns it to the Kubelet.

If the output of the command is large enough, it is possible to exhaust the memory (or disk usage) of the node. The following deployment is an example yaml file that will output around 8GB of ‘A’ characters, which would be written to disk by conmon and read by CRI-O.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment100
spec:
  selector:
    matchLabels:
      app: nginx
  replicas: 2
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        lifecycle:
          postStart:
            exec:
              command: ["/bin/sh", "-c", "seq 1 50000000`; do echo -n 'aaaaaaaaaaaaaaaa'; done"]

Impact

It is possible for the node to be exhausted of memory or disk space, depending on the node the command is being run on. What is further problematic is that the memory and disk usage aren't attributed to the container, as this file and its processing are implementation details of CRI-O. The consequence of the exhaustion is that other services on the node, e.g. other containers, will be unable to allocate memory and thus causing a denial of service.

Patches

This vulnerability will be fixed in 1.24.1, 1.23.3, 1.22.5, v1.21.8, v1.20.8, v1.19.7

Workarounds

At the time of writing, no workaround exists other than ensuring only trusted images are used.

References

GHSA-5ffw-gxpp-mxpf

For more information

If you have any questions or comments about this advisory:

Credits

Disclosed by Ada Logics in a security audit sponsored by CNCF and facilitated by OSTIF.

References

@haircommander haircommander published to cri-o/cri-o Jun 6, 2022
Published to the GitHub Advisory Database Jun 6, 2022
Reviewed Jun 6, 2022
Published by the National Vulnerability Database Jun 7, 2022
Last updated Jul 24, 2023

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

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

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS score

0.374%
(72nd percentile)

CVE ID

CVE-2022-1708

GHSA ID

GHSA-fcm2-6c3h-pg6j

Source code

Credits

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