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The Intelligent Fuzzing in TTCN-3 Xu Luo, Wu Ji, Liu Chao Software Engineering Institute Beihang University

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Presentation on theme: "The Intelligent Fuzzing in TTCN-3 Xu Luo, Wu Ji, Liu Chao Software Engineering Institute Beihang University"— Presentation transcript:

1 The Intelligent Fuzzing in TTCN-3 Xu Luo, Wu Ji, Liu Chao Software Engineering Institute Beihang University

2 Outline  Background  Fuzzing in TTCN-3  Summary

3 Outline  Background Definition of Fuzzing Fuzzer Types  Fuzzing in TTCN-3  Summary

4 Definition  Fuzzing — A highly automated testing technique that covers numerous boundary cases using invalid data (from files, network protocols, API calls, and other targets) as application input to better ensure the absence of exploitable vulnerabilities. From modem applications ’ tendency to fail due to random input caused by line noise on “ fuzzy ” telephone lines.

5 Simple Fuzz Example  SUT: Fake Clear Text Protocol [Client] -> "user jared\r\n" "user OK. Provide pass.\r\n" <- [Server] [Client] -> "pass mylamepasswd\r\n" "Login successful. Proceed.\r\n" <-[Server] [Client] -> "list file 1\r\n"...

6 Simple Fuzz Example (cont.)  Test case 1 [Client] -> "us er jared\r\n"  Test case 2 [Client] -> "user ja red\r\n"  Test case 3 [Client] -> "user jared\r\n" "user OK. Provide pass.\r\n" <- [Server] [Client] -> "\x04\x98\xbb\x...\r\n"

7 Fuzzer Classification  Generation Method Generation Mutation  Knowledge of Inputs Random Intelligent  Scope of SUT Specialized Fuzzer Generic Fuzzer

8 Intelligent vs. Generic  The contradiction between … Intelligent Needs the knowledge of SUT Generic Independent of a specific SUT  How to resolve the contradiction TTCN-3

9 Outline  Background  Fuzzing in TTCN-3 Our Purpose Architecture Details  Summary

10 Our Purpose  Develop a Generic Fuzzer Based on TTCN-3 Using the Knowledge of the Input Format — Intelligent Applying Data Mutation Approach — Mutation

11

12 Capture Valid Input  Input: TTCN-3 ATS  Output: TTCN-3 Value With its syntax  Purpose: Instance of Valid Input As seed to generate Invalid Inputs Syntax Information Needed by the Intelligent mutation

13 Capture Valid Input (cont.)  How to capture Insert the capture code btw. TE & CD TE CD: encode CD ReqCD Prv Capture Valid Input

14 Intelligent Mutation  Input: TTCN-3 value With its syntax Mutation Strategy  Output: s  Purpose: Generate Mutation Operators One mutation operator → One field

15 Intelligent Mutation (cont.)  How to mutate (intelligently) Type-Sensitive Mutation  Choose mutation operators according to the type of the data being mutated Attack Heuristics  Design mutation operators according to the stored invalid inputs that have previously been known to expose software vulnerabilities

16 Attack Heuristics  Buffer Overflow [Client] -> "us er jared\r\n"  Format String Attack [Client] -> "user ja red\r\n"  Inserting Special Characters [Client] -> "user ja red\r\n"  Integer Overflow 0x00, 0x0000, 0x xFF, 0xFFFF, 0xFFFFFFFF  … …

17 Type-Sensitive Mutation  Supported TTCN-3 Types Basic Types  BOOLEAN Reverse  INTEGER Boundary, Integer Overflow, ++, --  CHARSTRING , OCTETSTRING Null, Buffer Overflow, Format String Attack  … …

18 Type-Sensitive Mutation (cont.)  Supported TTCN-3 Types Structured Types  RECORD , SET Remove optional fields  RECORD_OF , SET_OF Remove elements, Duplicate elements, Change the order of elements  ENUMERATED Choose other value  … …

19 Inject Invalid Inputs  Input: Test cases Valid Inputs  Output: Invalid Inputs  Procedure: Applying mutation operator to generate invalid input from the instance of the valid input The invalid input will be sent to SUT

20 Inject Invalid Inputs (cont.)  How to inject Insert the injection code btw. TE & CD TE CD: encode CD ReqCD Prv Inject Mutation Operator

21 Test Verdict  The problem The response of SUT can ’ t be predicted when an invalid input is injected  The solution Each time an invalid input is injected, followed with a positive test case that is defined in conformance or functional test suite

22 Test Verdict (cont.)  Each test case includes 3 parts: 1.Inject an invalid input 2.Cancel current transaction (if needed) Don ’ t care the response of SUT 3.Execute a positive test case Determine if a failure has occurred

23 Evaluation  SUT Implementations of SIP Three popular softphones:  Linphone with libosip  SJphone For windows XPsp2, a  X-Lite 2.0, Win m-14262

24 The Number of Test Cases  How many TCs have been generated Focusing on INVITE Based on the ETSI standardized SIP conformance test suite 429 test cases has been generated

25 Results  Linphone 3 test cases caused crashes  … via.viaBody.0.viaParams.0.paramValue  … fromField … userOrTelephoneSubscriber  … fromField … hostPort.host  SJphone 1 test case caused crash  … contentLength.len  X-Lite No crash One line has not been released

26 Outline  Background  Fuzzing in TTCN-3  Summary

27 Summary  How TTCN-3 resolves the contradiction between Intelligent & Generic TTCN-3 conformance or functional test suite specifies the syntax structure of the valid inputs, which can be used by our fuzzer — Intelligent The syntax structure definitions are independent of the message encoding rules, the mutation operators could work on the syntax level instead of bit level — Generic

28 Thanks!


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