A WebFlux server application that processes multipart requests creates temp files for parts larger than 10 K. Under some circumstances, temp files may remain not deleted after the request is fully processed. This allows an attacker to consume available disk space.
Older, unsupported versions are also affected.
Spring MVC and WebFlux applications are vulnerable to cache poisoning when resolving static resources.
More precisely, an application can be vulnerable when all the following are true:
* the application is using Spring MVC or Spring WebFlux
* the application is configuring the resource chain support https://docs.spring.io/spring-framework/reference/web/webmvc/mvc-config/static-resources.html#page-title with caching enabled
* the application adds support for encoded resources resolution
* the resource cache must be empty when the attacker has access to the application
When all the conditions above are met, the attacker can send malicious requests and poison the resource cache with resources using the wrong encoding. This can cause a denial of service by breaking the front-end application for clients.
Spring MVC and WebFlux applications are vulnerable to Denial of Service attacks when resolving static resources.
More precisely, an application can be vulnerable when all the following are true:
* the application is using Spring MVC or Spring WebFlux
* the application is serving static resources from the file system
* the application is running on a Windows platform
When all the conditions above are met, the attacker can send malicious requests that are slow to resolve and that can keep HTTP connections in use. This can cause a Denial of Service on the application.
Pivotal Spring Framework through 5.3.16 suffers from a potential remote code execution (RCE) issue if used for Java deserialization of untrusted data. Depending on how the library is implemented within a product, this issue may or not occur, and authentication may be required. NOTE: the vendor's position is that untrusted data is not an intended use case. The product's behavior will not be changed because some users rely on deserialization of trusted data.