Newly found line coverage of popular opensource software by stateoftheart concolic executors, driller and s2e, and our system, qsym, until they saturated. Finding vulnerabilities in iot software using fuzzing. Augmenting fuzzing through selective symbolic execution. Compositional fuzzing aided by targeted symbolic execution arxiv. Advanced fuzzing and crash analysis overview this class is designed to introduce students to the best tools and technology available for automating vulnerability discovery.
Ive also heard it said that symbolic execution is just more sophisticated fuzzing. Compositional fuzzing aided by targeted symbolic execution. The keynote presentations and videos are available on keynote page icse2018 in ieee software margaret hamilton in ieee software some more photos from icse 2018 icse 2018 on flickr goodbye and see you at icse 2019 in montreal. Think of recent advances in the automotive industry, aeronautics. In proceedings of the 2008 acm sigplan conference on. Badger employs a hybrid software analysis technique that combines fuzzing and symbolic execution for nding performance bottlenecks in software. Fuzzing blackbox fuzzing concolic execution symbolic execution hybrid fuzzing figure 1. Replace the concrete inputs of a program with symbolic values execute along a path using the symbolic values to build a formula over the input symbols. Fuzzing and symbolic execution are two complementary techniques for discovering software vulnerabilities.
Differential program analysis with fuzzing and symbolic execution. Forallsecure is developing a new category of security testing, known as nextgeneration fuzzing, by unifying the triedandtrue methods of guided fuzzing and the ingenuity of symbolic execution. The fuzzer uses symbolic execution to exhaustively explore paths in the program to a limited depth, and generate inputs that will reach these paths. There are approaches on how to combine fuzzing with symbolic execution for test case generation 6, 8, 11, above all driller 24 that combines the aflfuzzer with the angrsymbolic execution engine. Fuzzing is fast and scalable, but can be ineffective when it fails to randomly select the right inputs.
Deferred concretization in symbolic execution via fuzzing. Wildfire finds vulnerabilities by fuzzing isolated functions in a c program and, then, using targeted symbolic execution it determines the fea sibility of exploitation. Fuzzing, symbolic execution with regression testing. An example computerimplemented method may include receiving a seed input of a binary program under analysis bpua that is discovered during testing by a greybox fuzzer. Awanish pandey, phani raj goutham kotcharlakota, and subhajit roy. A userfriendly symbolic execution framework for binaries and smart contracts, mark mossberg, felipe manzano, eric hennenfent, alex groce, gustavo grieco, josselin feist, trent brunson, artem dinaburg ase 19.
Learning to fuzz from symbolic execution with application. How symbolic execution complements modern fuzzing what is symbolic execution. Random mutational fuzz testing fuzzing and symbolic executions are program. Symbolic execution is a software testing technique that is useful to aid the generation of test data and in proving the program quality. Complexity analysis with fuzzing and symbolic execution. In proceedings of the 28th acm sigsoft international symposium on software testing and. A hybrid symbolic execution assisted fuzzing method astar. Jun 06, 2017 finding bios vulnerabilities with symbolic execution and virtual platforms by engblom, jakob, published on june 6, 2017, updated june 7, 2019 fuzzing is a common technique used by hackers to find vulnerabilities, where random inputs are sent to expose mistakes in code. Jit spraying attacks along with pdf viewers and other programs. Using symbolic execution to improve modern fuzzing code.
How the ideas of symbolic execution can be transported to automated program repair 8 6. Symbolic execution is thorough but slow and often does not scale to deep program paths with complex path conditions. Symbolic execution has become an effective program testing technique, providing a way to automatically generate inputs that trigger software errors ranging from lowlevel program crashes to higher. When program execution branches based on a symbolic value, the system follows both. Fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a computer program. A practical concolic execution engine tailored for. From my perspective, symbolic execution utilizes a form of targeted fuzzing that specifically hits certain symbolic values. Pdf compositional fuzzing aided by targeted symbolic execution. Security and privacy software security engineering. Finding bios vulnerabilities with symbolic execution and.
Hybrid fuzz testing scs technical report collection carnegie. Keywordsfuzz testing, symbolic execution, software. Symbolic execution wei le thank cristian cadar, patrice godefroid, je foster, nikolai tillmann, vijay. Checksumaware fuzzing combined with dynamic taint analysis and symbolic execution 15. Symbolic execution with mixed concrete symbolic solving. Aug 02, 2016 automating the process is even harder. Dec 31, 2017 symbolic execution timeline highlights some major tools and ideas of pure symbolic execution, dynamic symbolic execution concolic as well as related ideas of model checking, satsmt solving, blackbox fuzzing, taint data tracking, and other dynamic analysis techniques. Deferred concretization in symbolic execution via fuzzing issta 19, july 1519, 2019, beijing, china while the worklist is nonempty, it picks a state from the work. Automated testing techniques, such as symbolic execution, concolic testing, and feedbackdirected fuzzing, have found numerous critical faults, security vulnerabilities, and performance bottlenecks in mature and welltested software systems. Symbolic execution wei le thank cristian cadar, patrice godefroid, je foster, nikolai tillmann, vijay ganesh for some of the slides 2014.
I see the line that says symbolic execution determines what inputs cause each part of a program to execute, so you might differentiate each method by the goal a security researcher has in mind. Grr, a highthroughput fuzzer, and pysymemu pse, a binary symbolic executor with support for concrete inputs. Learning to fuzz from symbolic execution with application to smart. This is particularly true in safety criticality systems. This chapter provides an implementation of a symbolic fuzzing engine advancedsymbolicfuzzer.
Symbolic execution an approach for generating test inputs. Typically, fuzzers are used to test programs that take structured inputs. From now on, the target is the software program that we test using the fuzzer. In summary, this paper makes the following contributions. Symbolic execution, software testing, fuzzing acm reference format. Fuzzing is a technique for testing certain kinds of software by feeding the target with thousands of random generated inputs. Fuzzing can quickly explore the input space at nearly native speed, but it is only good figure 1. From afar, fuzzing is a dumb, bruteforce method that works surprisingly well, and symbolic execution is. In proceedings of the ieeeacm international conference on automated software engineering ase 10. Klee is a symbolic virtual machine built on top of the llvm compiler infrastructure, and available under the uiuc open source license. Fuzzing is used by companies to test their internal developed software, or by security companies to analyze interesting pieces of software. Binary analysis of paramount need for software acquisition or assembly.
Therefore, badger uses fuzzing and symbolic execution in tandem, to leverage. The execution requires a selection of paths that are exercised by a set of data values. Pdf guided fuzzing has, in recent years, been able to uncover many new vulnerabilities in realworld software due to its fast input mutation. Three decades later cristian cadar imperial college london c. Professional infomation security training the below classes are available at industry leading information security conferences listed on our event schedule.
Fuzzing finds bugs in a target program by natively executing it with random inputs while monitoring the execution for abnormal behaviors such as crashes. Symbolic execution with mixed concretesymbolic solving. Symbolic execution is particularly good at generating inputs that satisfy various program conditions but by itself suffers from path explosion. We propose a new method to improve the effectiveness of fuzzing by leveraging selective concolic execution to reach deeper program code, while improving the scalability of concolic execution by using fuzzing to alleviate path.
Fuzzing is fast and scalable, but can be ineffective. I many software engineering problems can be easily reduced to the. In this paper, we present munch, an opensource framework implementing two hybrid techniques based on fuzzing and symbolic execution. Papers i have read recently differentiate symbolic execution from fuzzing by saying the former has significantly more overhead runs more slowly. All these combinations try to combine the strengths of fuzzing and symbolic execution in order to overcome their weaknesses. We tackled the harder problem and produced two productionquality bugfinding systems. Symbolic execution for software testing in practice preliminary assessment joint work with cristian cadar, sarfraz khurshid, corina pasareanu, koushik sen, nikolai tillmann and willem visser proceedings of icse2011 international conference on software engineering, impact track, pages 10661071, honolulu, may 2011. Our technique, called hybrid fuzzing, first uses symbolic execution to discover frontier nodes that represent unique paths in the program.
Finding bios vulnerabilities with symbolic execution and virtual platforms by engblom, jakob, published on june 6, 2017, updated june 7, 2019 fuzzing is a common technique used by hackers to find vulnerabilities, where random inputs are sent to expose mistakes in code. Icse, the international conference on software engineering, is the premier software engineering conference, providing a forum for researchers, practitioners and. Symbolic execution is a software testing technique that substitutes the normal inputs into a program e. Random mutational fuzz testing fuzzing and symbolic executions are program testing techniques that have been gaining popularity in the security research community. Fuzzing or fuzz testing is an automated software testing technique that involves providing invalid, unexpected, or random data as inputs to a. Mar 27, 2019 in the last two decades, automation has had a significant impact on software testing and analysis. Learning to fuzz from symbolic execution with application to. In particular, it aims to find software vulnerabilities using fuzzing, symbolic execution, and abstract interpretation techniques, in order to prevent unauthorised access to the network by shielding the network from malicious attacks and thus protecting the data flowing through the network.
Nextgeneration fuzzing automatically uncovers defects with zero falsepositives. Fuzzing versus symbolic execution whats the difference. Augmenting fuzzing through selective symbolic execution, authornick stephens and john grosen and christopher salls and andrew dutcher and ruoyu wang and jacopo corbetta and yan shoshitaishvili and christopher kr\ugel and giovanni vigna. Jun 18, 2018 according to some examples, computerimplemented methods for branch coverage guided symbolic execution for hybrid fuzzing are described. This thesis presents our attempt to attain the best of both worlds by combining fuzzing with symbolic execution in a novel manner. While fuzzing may have a reputation of being able to explore deep into a. We present a new automated method for efficient detection of security vulnerabilities in binary programs. I think i understand the difference between fuzzing and symbolic execution especially when it comes to having a program that expects specific values in this case symbolic execution will work and f. We empirically show using nine large opensource programs that.
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