Operating system fingerprinting

• US 8,458,308 B1
• Filed: 08/23/2006
• Issued: 06/04/2013
• Est. Priority Date: 08/23/2006
• Status: Active Grant

• Current Assignee: Infoblox Incorporated
• Original Assignee: Infoblox Incorporated
• Inventors: Steves, Kevin
• Primary Examiner(s): NGUYEN, PHUOC H
• Application Number:
  US11/509,321
• Time in Patent Office: 2,477 Days
• Field of Search: 709223-226, 707/626
• US Class Current: 709/223
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06F 21/44 Program or device authentication
• CPC Class Codes: G06F 21/577 Assessing vulnerabilities and evaluating computer system security
• CPC Class Codes: H04L 61/5014 using dynamic host configuration protocol [DHCP] or bootstrap protocol [BOOTP]
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources

Abstract

Determining operating system data is disclosed, including receiving a message associated with a network protocol, extracting a set of one or more features from the message, and determining operating system data at least in part by matching one or more features of the message with one or more features of a fingerprint associated with an operating system. An exact match of the features is not required to determine operating system data.

Claims

1. A method of determining operating system data, including:

receiving at a processor a message associated with a network protocol;

extracting a set of features from the message; and

determining operating system data at least in part by checking to determine if there are matches between features of the message and features of a fingerprint associated with an operating system at a plurality of levels of granularity, including;

traversing an ordered tree that is organized according to levels of granularity of operating system hierarchy, wherein each child node in the ordered tree corresponds to a more specific version of an operating system, wherein the ordered tree has at least two levels corresponding to at least two levels of granularity of operating system hierarchy;

obtaining features of a fingerprint associated with each node of the ordered tree organized according to levels of granularity of operating system hierarchy from a fingerprint database, wherein the fingerprint database comprises features of a fingerprint associated with each node of the ordered tree and unique to the node corresponding to a level of granularity of the operating system hierarchy, wherein a feature of a fingerprint comprises a set of one or more fields, order of fields, field values, or order of field values for each known operating system;

checking the features of the message with the features of a fingerprint associated with a node of the ordered tree that is currently traversed, wherein a match between the features of the message and the features of the fingerprint associated with the node determines operating system data with a level of granularity represented by the node, and wherein a match of the features at every level of granularity is not required to determine operating system data.

2. A method as recited in claim 1, wherein the network protocol includes Dynamic Host Configuration Protocol (DHCP) or Domain Name Service (DNS).

3. A method as recited in claim 1, wherein matching includes determining a partial match of the features.

4. A method as recited in claim 1, wherein matching includes determining an exact match of the features.

5. A method as recited in claim 1, wherein the features of a fingerprint comprise multiple fields.

6. A method as recited in claim 1, wherein higher level nodes in the ordered tree organized by levels of granularity of operating system hierarchy are associated with high level fingerprints unique to the higher level node.

7. A method as recited in claim 1, wherein the fingerprint database is created at least in part by:

collecting messages from a plurality of known operating systems;

extracting fields from the received messages;

analyzing the extracted fields, including, for each known operating system identifying features of a fingerprint for each level of granularity of operating system data that is unique to the known operating system, wherein features of a fingerprint comprise one or more fields, order of fields, field values, or order of field values;

creating the fingerprint database at least in part by populating the fingerprint database with the identified features for each level of granularity of operating system data.

8. The method of claim 7, wherein analyzing the extracted fields includes, for each known operating system, identifying the order of field values that is unique to the known operating system granularity.

9. The method of claim 7, wherein creating the fingerprint database includes determining whether a sufficient number of messages have been collected prior to analyzing the extracted fields.

10. The method of claim 9, wherein determining whether a sufficient number of messages have been collected includes determining whether a particular field has a field value that changes from message to message for the same known operating system.

11. The method of claim 7, wherein analyzing includes:

for each known operating system, selecting a field of the known operating system, determining the field value of the selected field, and determining whether any other of the known operating systems has the same field and field value;

in the event that it is determined that none of the other known operating systems have the same field and field value, identifying the field or field value as unique to the known operating system; and

in the event that it is determined that at least one of the other known operating systems have the same field and field value, checking another field.

12. The method of claim 7, wherein analyzing includes:

for each known operating system, selecting a field of the known operating system, determining the order of the field values of the selected field, and determining whether any other of the known operating systems has the same field and order of the field values;

in the event that none of the other known operating systems have the same field and order of the field values, identifying the field or order of the field values as unique to the known operating system; and

in the event that at least one of the other known operating systems have the same field and order of the field values, checking another field.

13. A method as recited in claim 1, wherein the features include data from an IP header, a UDP header, a BOOTP header, or DHCP options.

14. A method as recited in claim 1, wherein the message includes a DHCP discover message, a DHCP request message, or a DHCP inform message.

15. A method as recited in claim 1, wherein the operating system data includes an implementation of a DHCP client.

16. A method as recited in claim 1, wherein the message is received from a DHCP client.

17. The method of claim 1 further comprising using the operating system data to make a policy decision.

18. The method of claim 1, wherein determining operating system data includes resolving a tie between two operating systems that have a closest match to the features of the message.

19. The method of claim 18, wherein resolving the tie includes checking other features that were not originally extracted.

20. A system for determining operating system data, including:

a processor configured to;

receive a message associated with a network protocol;

extract a set of features from the message; and

determine operating system data at least in part by checking to determine if there are matches between features of the message and features of a fingerprint associated with an operating system at a plurality of levels of granularity, including;

traversing an ordered tree that is organized according to levels of granularity of operating system hierarchy, wherein each child node in the ordered tree corresponds to a more specific version of an operating system, wherein the ordered tree has at least two levels corresponding to at least two levels of granularity of operating system hierarchy;

obtaining features of a fingerprint associated with each node of the ordered tree organized according to levels of granularity of operating system hierarchy from a fingerprint database, wherein the fingerprint database comprises features of a fingerprint associated with each node of the ordered tree and unique to the node corresponding to a level of granularity of the operating system hierarchy, wherein a feature of a fingerprint comprises a set of one or more fields, order of fields, field values, or order of field values for each known operating system;

checking the features of the message with the features of a fingerprint associated with a node of the ordered tree that is currently traversed, wherein a match between the features of the message and the features of the fingerprint associated with the node determines operating system data with a level of granularity represented by the node, and wherein a match of the features at every level of granularity is not required to determine operating system data; and

a memory coupled with the processor, wherein the memory provides the processor with instructions.

21. A system as recited in claim 20, wherein matching includes determining a partial match of the features.

22. A non-transitory computer readable storage medium and comprising computer instructions for:

receiving a message associated with a network protocol;

extracting a set of one or more features from the message; and

determining operating system data at least in part by checking to determine if there are matches between one or more features of the message and one or more features of a fingerprint associated with an operating system at a plurality of levels of granularity, including by;

traversing an ordered tree that is organized according to levels of granularity of operating system hierarchy, wherein each child node in the ordered tree corresponds to a more specific version of an operating system, wherein the ordered tree has at least two levels corresponding to at least two levels of granularity of operating system hierarchy;

obtaining features of a fingerprint associated with each node of the ordered tree organized according to levels of granularity of operating system hierarchy from a fingerprint database, wherein the fingerprint database comprises features of a fingerprint associated with each node of the ordered tree and unique to the node corresponding to a level of granularity of the operating system hierarchy, wherein a feature of a fingerprint comprises a set of one or more fields, order of fields, field values, or order of field values for each known operating system;

checking the features of the message with the features of a fingerprint associated with a node of the ordered tree that is currently traversed, wherein a match between the features of the message and the features of the fingerprint associated with the node determines operating system data with a level of granularity represented by the node, and wherein a match of the features at every level of granularity is not required to determine operating system data.

23. A non-transitory computer readable storage medium as recited in claim 22, wherein matching includes determining a partial match of the features.