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Capec-229 Detail

Serialized Data Parameter Blowup

Detailed Software Likelihood: High Typical Severity: High

Parents: 231

Threats: T61 T64 T74 T77 T264 T265 T269 T289 T308 T309

Description

This attack exploits certain serialized data parsers (e.g., XML, YAML, etc.) which manage data in an inefficient manner. The attacker crafts an serialized data file with multiple configuration parameters in the same dataset. In a vulnerable parser, this results in a denial of service condition where CPU resources are exhausted because of the parsing algorithm. The weakness being exploited is tied to parser implementation and not language specific.

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External ID Source Link Description
CAPEC-229 capec https://capec.mitre.org/data/definitions/229.html
CWE-770 cwe http://cwe.mitre.org/data/definitions/770.html
41 WASC http://projects.webappsec.org/XML-Attribute-Blowup XML Attribute Blowup
Explore
  1. Survey the target: Using a browser or an automated tool, an attacker records all instances of web services to process requests using serialized data.

  2. Techniques
    Use an automated tool to record all instances of URLs to process requests from serialized data.
    Use a browser to manually explore the website and analyze how the application processes requests using serialized data.
Exploit
  1. Launch a Blowup attack: The attacker crafts malicious messages that contain multiple configuration parameters in the same dataset.

  2. Techniques
    Send the malicious crafted message containing the multiple configuration parameters to the target URL, causing a denial of service.
  1. The server accepts input in the form of serialized data and is using a parser with a runtime longer than O(n) for the insertion of a new configuration parameter in the data container.(examples are .NET framework 1.0 and 1.1)

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  1. In this example, assume that the victim is running a vulnerable parser such as .NET framework 1.0. This results in a quadratic runtime of O(n^2). A document with n attributes results in (n^2)/2 operations to be performed. If an operation takes 100 nanoseconds then a document with 100,000 operations would take 500s to process. In this fashion a small message of less than 1MB causes a denial of service condition on the CPU resources.
  2. A YAML bomb leverages references within a YAML file to create exponential growth in memory requirements. By creating a chain of keys whose values are a list of multiple references to the next key in the chain, the amount of memory and processing required to handle the data grows exponentially. This may lead to denial of service or instability resulting from excessive resource consumption.