GO-2024-2753 CVE-2020-8557 GHSA-55qj-gj3x-jq9r
Denial of service in Kubernetes in k8s.io/kubernetes
Medium
Go
- Severity
- 5.5 / 10
- Medium · CVSS 3.1
- Exploit chance (EPSS)
- 0.43%
- Chance of exploitation in the next 30 days. Higher than 37.75% of scored vulnerabilities.
- Known exploited
- No
- Not in CISA's catalog
- Weakness
- CWE-400 Uncontrolled Resource Consumption
- Fix
- Available
- 2 packages have a fixed version
Description
Denial of service in Kubernetes in k8s.io/kubernetes
Affected versions
Go
| Package | Vulnerable | Fixed in |
|---|---|---|
| k8s.io/kubernetes | >= 1.1.0, < 1.16.13>= 1.17.0, < 1.17.9>= 1.18.0, < 1.18.6 |
1.16.131.17.91.18.6 |
| k8s.io/kubernetes/pkg/kubelet | >= 1.1.0, < 1.16.13 |
1.16.13 |
| k8s.io/kubernetes/pkg/kubelet | >= 1.17.0, < 1.17.9 |
1.17.9 |
| k8s.io/kubernetes/pkg/kubelet | >= 1.18.0, < 1.18.6 |
1.18.6 |
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.
k8s.io/kubernetes Go → 1.18.6
- go
go get k8s.io/kubernetes@v1.18.6 && go mod tidy
k8s.io/kubernetes/pkg/kubelet Go → 1.16.13
- go
go get k8s.io/kubernetes/pkg/kubelet@v1.16.13 && 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
Advisories
Packages
Other links
- github.com/kubernetes/kubernetes/issues/93032
- github.com/kubernetes/kubernetes/pull/92921
- github.com/kubernetes/kubernetes/commit/530f199b6e07cdaab32361e39709ac45f3fdc446
- github.com/kubernetes/kubernetes/commit/68750fefd3df76b7b008ef7b18e8acd18d5c2f2e
- github.com/kubernetes/kubernetes/commit/7fd849cffa2f93061fbcb0a6ae4efd0539b1e981
- groups.google.com/g/kubernetes-security-announce/c/cB_JUsYEKyY/m/vVSO61AhBwAJ
- pkg.go.dev/vuln/GO-2024-2753
- security.netapp.com/advisory/ntap-20200821-0002
Timeline
- Published
- Last updated by the source
- Latest EPSS score
Related advisories
| Advisory | Severity | Why it's related |
|---|---|---|
| GHSA-r6j8-c6r2-37rr kube-controller-manager is vulnerable to half-blind Server Side Request Forgery through in-tree Portworx StorageClass | Medium | Also affects k8s.io/kubernetes |
| GHSA-4x4m-3c2p-qppc Kubernetes Nodes can delete themselves by adding an OwnerReference | Medium | Also affects k8s.io/kubernetes |
| GHSA-hj2p-8wj8-pfq4 kubernetes allows nodes to bypass dynamic resource allocation authorization checks | Low | Also affects k8s.io/kubernetes |
| GO-2025-3547 Kubernetes kube-apiserver Vulnerable to Race Condition | Low | Also affects k8s.io/kubernetes |
| GHSA-3wgm-2gw2-vh5m Kubernetes GitRepo Volume Inadvertent Local Repository Access | Medium | Also affects k8s.io/kubernetes |
| GHSA-vv39-3w5q-974q Kubernetes allows Command Injection affecting Windows nodes via nodes/*/logs/query API | Medium | Also affects k8s.io/kubernetes |
| GHSA-jgfp-53c3-624w Node Denial of Service via kubelet Checkpoint API | Medium | Also affects k8s.io/kubernetes |
| GHSA-27wf-5967-98gx Kubernetes kubelet arbitrary command execution | High | Also affects k8s.io/kubernetes |
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