KubeEdge is an open source system for extending native containerized application orchestration capabilities to hosts at Edge. Prior to versions 1.11.1, 1.10.2, and 1.9.4, the Cloud Stream server and the Edge Stream server reads the entire message into memory without imposing a limit on the size of this message. An attacker can exploit this by sending a large message to exhaust memory and cause a DoS. The Cloud Stream server and the Edge Stream server are under DoS attack in this case. The consequence of the exhaustion is that the CloudCore and EdgeCore will be in a denial of service. Only an authenticated user can cause this issue. It will be affected only when users enable cloudStream module in the config file cloudcore.yaml and enable edgeStream module in the config file edgecore.yaml. This bug has been fixed in Kubeedge 1.11.1, 1.10.2, and 1.9.4. As a workaround, disable cloudStream module in the config file cloudcore.yaml and disable edgeStream module in the config file edgecore.yaml.
The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Kubeedge | Linuxfoundation | * | 1.9.4 (excluding) |
| Kubeedge | Linuxfoundation | 1.10.0 (including) | 1.10.2 (excluding) |
| Kubeedge | Linuxfoundation | 1.11.0 (including) | 1.11.1 (excluding) |
Limited resources include memory, file system storage, database connection pool entries, and CPU. If an attacker can trigger the allocation of these limited resources, but the number or size of the resources is not controlled, then the attacker could cause a denial of service that consumes all available resources. This would prevent valid users from accessing the product, and it could potentially have an impact on the surrounding environment. For example, a memory exhaustion attack against an application could slow down the application as well as its host operating system. There are at least three distinct scenarios which can commonly lead to resource exhaustion:
Resource exhaustion problems are often result due to an incorrect implementation of the following situations:
Mitigation of resource exhaustion attacks requires that the target system either:
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.