fuzzbench | FuzzBench - Fuzzer benchmarking as a service | Performance Testing library

by google Python Version: SBFT'23 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | fuzzbench Summary

fuzzbench is a Python library typically used in Testing, Performance Testing, Deep Learning applications. fuzzbench has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

FuzzBench - Fuzzer benchmarking as a service.

Support

Quality

Security

License

Reuse

Support

fuzzbench has a medium active ecosystem.

It has 925 star(s) with 218 fork(s). There are 36 watchers for this library.

It had no major release in the last 6 months.

There are 165 open issues and 285 have been closed. On average issues are closed in 77 days. There are 38 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fuzzbench is SBFT'23

Quality

fuzzbench has 0 bugs and 0 code smells.

Security

fuzzbench has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fuzzbench code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fuzzbench is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fuzzbench releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed fuzzbench and discovered the below as its top functions. This is intended to give you an instant insight into fuzzbench implemented functionality, and help decide if they suit your requirements.

Build fuzzbench
Prepare build environment
Add compiler flags
Check if the given name is a benchmark
Argument parser
Wrap a function with retries
Fuzz fuzz
Spawn an AFL fuzzing process
Prepare the environment for building
Check if skip detector is supported
Create cloudbuild spec
Generate a coverage report
Plot the coverage growth curve
Runs the requested experiments
Schedule the scheduler
Schedules the measurer workers
Creates a new instance
Dispatches the experiment
Plot a box or violin plot
Start a new experiment
Output a coverage report
Run measure loop
Plot the unique coverage score plot
Generate a makefile
Run the build job
Schedules measurer workers
Stops the experiment

Get all kandi verified functions for this library.

fuzzbench Key Features

No Key Features are available at this moment for fuzzbench.

fuzzbench Examples and Code Snippets

No Code Snippets are available at this moment for fuzzbench.

Community Discussions

Trending Discussions on fuzzbench

Porting docker build commands to Singularity

QUESTION

Porting docker build commands to Singularity

Asked 2021-Feb-22 at 12:26

    docker build \
    --tag gcr.io/fuzzbench/runners/afl/libpng-1.2.56-intermediate \
    --build-arg BUILDKIT_INLINE_CACHE=1 \
    --cache-from gcr.io/fuzzbench/runners/afl/libpng-1.2.56-intermediate \
    --file fuzzers/afl/runner.Dockerfile \
    fuzzers/afl

...

ANSWER

Answered 2021-Feb-22 at 12:26

The simplest way to "port" a Docker image to Singularity is to build the Singularity image directly from the Docker image: singularity build libpng_1.2.56.sif docker://gcr.io/fuzzbench/runners/afl/libpng-1.2.56-intermediate. If the source docker image has been built locally and is not in a remote registry use docker-daemon:// instead of docker://.

The documentation also has a pretty sizable Singularity and Docker section that goes over using Docker images with Singularity and similarities/differences between a Singularity definition file and a Dockerfile.

If you want to maintain separate Dockerfile and Singularity files for creating images, keep in mind there is not always a direct equivalent. e.g,. --tag in Docker is effectively equivalent to the filename of the Singularity image, buildkit settings are specific to the Docker build process and do not have a counterpart in Singularity.

Source https://stackoverflow.com/questions/66272215

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install fuzzbench

You can download it from GitHub.
You can use fuzzbench like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.