LibFuzzerLLVM Project
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Related Products
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About
LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine. LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entry point (or target function); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM’s SanitizerCoverage instrumentation. LibFuzzer is still fully supported in that important bugs will get fixed. The first step in using libFuzzer on a library is to implement a fuzz target, a function that accepts an array of bytes and does something interesting with these bytes using the API under test. Note that this fuzz target does not depend on libFuzzer in any way so it is possible and even desirable to use it with other fuzzing engines like AFL and/or Radamsa.
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About
Coding Interview Question Online Training System. Focus on algorithm. No parsing input/output anymore. Industrial standard lint helps you write the most beautiful code. Step by step training. Coding for fun. Want more practises can filter by difficulty, algorithm and data structure? Check out our interview questions. LintCode has the most interview problems covering Google, Facebook, Linkedin, Amazon, Microsoft and so on. We provide Chinese and English versions of the challenges. Solve challenges such as: Implement an API to Access User Data, Implement Decorator with Parameters, Exception Handling, Implementing a shopping cart program, Replace the elements in a string, The number of the two numbers in the list whose sum is equal to n, Print out SMS verification code, Import a module and alias it, Importing a module, Search for a lecturer number, Print Zero, Even and Odd Number Interleave, Implement timer decorator, and many more.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Users requiring a fuzzing engine to analyze their code and applications
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Audience
Companies in search of a coding interview question online training system solution to conduct technical interviews
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationLLVM Project
Founded: 2003
llvm.org/docs/LibFuzzer.html
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Company InformationLintCode
China
www.lintcode.com/en/
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Categories |
Categories |
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Integrations
Atheris
C
C++
ClusterFuzz
Fuzzbuzz
Google ClusterFuzz
Jazzer
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