Client application fingerprinting based on analysis of client requests
View Patent ↗Processes are disclosed for fingerprinting and identifying client applications based on the analysis of client requests. In an HTTP-based embodiment, a fingerprint is constructed based on the presence and order of HTTP headers included in a request from a client application or device. This fingerprint may then be compared to known fingerprints associated with particular client applications to identify the particular client application and/or to assess whether the client application is malicious. The results of this analysis may, for example, be used to determine how to respond to the current request and/or subsequent requests.
1. A computer system for generating a fingerprint corresponding to a browser request comprising headers, the computer system comprising:
a database storing a map correlating each of a plurality of header types to a combination of one of a plurality of characters and one of a plurality of values;
a processor configured to:
process the headers in the browser request to retrieve a character and a value from the map for each one of the headers in the browser request based on a header type of the header;
concatenate the retrieved characters of all of the headers in the browser request in the same order as the headers in the browser request to produce an order string;
sum the retrieved values of all of the headers in the browser request to produce a score of the browser request;
generate the fingerprint comprising the order string and the score of the browser request;
analyze the score to determine whether the score falls within at least one predefined numerical range associated with a particular type of client application; and
when the score falls within the at least one predefined numerical range associated with the particular type of client application, identify the particular type of client application as a sender of the browser request.
2. The computer system of claim 1 , wherein each value in the map for each distinct header type is a distinct power of a base.
3. The computer system of claim 1 , wherein the score is represented as bitfields.
4. A method of generating a fingerprint corresponding to a browser request comprising headers, the method comprising:
providing a map correlating each of a plurality of header types to a combination of one of a plurality of values and one of a plurality of characters;
retrieving, for each one of the headers in the browser request, a value and a character from the map based on a header type of the header; and
summing the retrieved values of all of the headers in the browser request to produce a score of the browser request;
concatenating the retrieved characters of all of the headers in the browser request in the same order as the headers in the browser request to produce an order string of the browser request;
combining the score and the order string to generate the finger print;
analyzing the score to determine whether the score falls within at least one predefined numerical range associated with a particular type of client application; and
when the score falls within the at least one predefined numerical range associated with the particular type of client application, identifying the particular type of client application as a sender of the browser request.
5. The method of claim 4 , wherein the values are unique to each header type.
6. The method of claim 4 , wherein requests differing only in the order of the headers will correspond to different order strings.
7. The method of claim 4 , wherein a first request and a second request corresponding to a permutation of the headers of a reference request are assigned distinct order strings.
8. The method of claim 4 , wherein a first request and a second request corresponding to a permutation of the headers of a reference request are assigned the same score.
9. The method of claim 4 , wherein the content of a response to the browser request is based at least partly on an identity of the client application.