crossplane-runtime is a set of go libraries used to build Kubernetes controllers in Crossplane and its related stacks. An out of memory panic vulnerability has been discovered in affected versions. Applications that use the Paved types SetValue method with user provided input without proper validation might use excessive amounts of memory and cause an out of memory panic. In the fieldpath package, the Paved.SetValue method sets a value on the Paved object according to the provided path, without any validation. This allows setting values in slices at any provided index, which grows the target array up to the requested index, the index is currently capped at max uint32 (4294967295) given how indexes are parsed, but that is still an unnecessarily large value. If callers are not validating paths indexes on their own, which most probably are not going to do, given that the input is parsed directly in the SetValue method, this could allow users to consume arbitrary amounts of memory. Applications that do not use the Paved types SetValue method are not affected. This issue has been addressed in versions 0.16.1 and 0.19.2. Users are advised to upgrade. Users unable to upgrade can parse and validate the path before passing it to the SetValue method of the Paved type, constraining the index size as deemed appropriate.
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 |
|---|---|---|---|
| Crossplane-runtime | Crossplane | 0.19.0 (including) | 0.19.2 (excluding) |
| Crossplane-runtime | Crossplane | 0.16.0 (including) | 0.16.0 (including) |
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.