CAPEC-CAPEC-231 - CERT CVE
Naziv

Oversized Serialized Data Payloads

Sažetak Applications often need to transform data in and out of serialized data formats, such as XML and YAML, by using a data parser. It may be possible for an adversary to inject data that may have an adverse effect on the parser when it is being processed. By supplying oversized payloads in input vectors that will be processed by the parser, an adversary can cause the parser to consume more resources while processing, causing excessive memory consumption and CPU utilization, and potentially cause execution of arbitrary code. An adversary's goal is to leverage parser failure to their advantage. In many cases this type of an attack will result in an XML Denial of Service (XDoS) or similar Denial of Service (DoS) due to an application becoming unstable, freezing, or crashing. However it is possible to cause a crash resulting in arbitrary code execution, leading to a jump from the data plane to the control plane [REF-89]. DoS is most closely associated with web services, SOAP, and Rest, because remote service requesters can post malicious data payloads to the service provider designed to exhaust the service provider's memory, CPU, and/or disk space. The main weakness in serialized data related DoS is that the service provider generally must inspect, parse, and validate the data messages to determine routing, workflow, security considerations, and so on. It is exactly these inspection, parsing, and validation routines that DoS targets. This attack exploits the loosely coupled nature of web services, where the service provider has little to no control over the service requester and any messages the service requester sends.
Preduvjeti An application uses an parser for serialized data to perform transformation on user-controllable data.|An application does not perform sufficient validation to ensure that user-controllable data is safe for a data parser.
Rješenja ['Carefully validate and sanitize all user-controllable serialized data prior to passing it to the parser routine. Ensure that the resultant data is safe to pass to the parser.', 'Perform validation on canonical data.', 'Pick a robust implementation of the serialized data parser.', 'Validate data against a valid schema or DTD prior to parsing.']