Atheris

Atheris

Google
LibFuzzer

LibFuzzer

LLVM Project
python-sql

python-sql

Python Software Foundation
+

Related Products

  • Twilio
    1,319 Ratings
    Visit Website
  • Teradata VantageCloud
    975 Ratings
    Visit Website
  • Windsurf Editor
    148 Ratings
    Visit Website
  • Docmosis
    48 Ratings
    Visit Website
  • Wiz
    1,062 Ratings
    Visit Website
  • Google Cloud Run
    286 Ratings
    Visit Website
  • ZeroPath
    2 Ratings
    Visit Website
  • Parasoft
    132 Ratings
    Visit Website
  • Bitrise
    385 Ratings
    Visit Website
  • TinyPNG
    46 Ratings
    Visit Website

About

Atheris is a coverage-guided Python fuzzing engine. It supports fuzzing of Python code, but also native extensions written for CPython. Atheris is based on libFuzzer. When fuzzing native code, Atheris can be used to catch extra bugs. Atheris supports Linux (32- and 64-bit) and Mac OS X, with Python versions 3.6-3.10. It comes with a built-in libFuzzer, which is fine for fuzzing Python code. If you plan to fuzz native extensions, you may need to build from source to ensure the libFuzzer version in Atheris matches your Clang version. Atheris relies on libFuzzer, which is distributed with Clang. Apple Clang doesn't come with libFuzzer, so you'll need to install a new version of LLVM. Atheris is based on a coverage-guided mutation-based fuzzer (LibFuzzer). This has the advantage of not requiring any grammar definition for generating inputs, making its setup easier. The disadvantage is that it will be harder for the fuzzer to generate inputs for code that parses complex data types.

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.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Programmers wanting a fuzzing engine solution to find bugs in their applications

Audience

Users requiring a fuzzing engine to analyze their code and applications

Audience

Developers searching for a solution offering a library to write SQL queries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
github.com/google/atheris

Company Information

LLVM Project
Founded: 2003
llvm.org/docs/LibFuzzer.html

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Alternatives

LibFuzzer

LibFuzzer

LLVM Project

Alternatives

afl-unicorn

afl-unicorn

Battelle

Alternatives

Jazzer

Jazzer

Code Intelligence
Atheris

Atheris

Google
ToothPicker

ToothPicker

Secure Mobile Networking Lab
Jazzer

Jazzer

Code Intelligence
NGS-IQ

NGS-IQ

New Generation Software
go-fuzz

go-fuzz

dvyukov
Honggfuzz

Honggfuzz

Google

Categories

Categories

Categories

Integrations

Atheris
C
C++
ClusterFuzz
Domino Enterprise MLOps Platform
Fuzzbuzz
Google ClusterFuzz
Google OSS-Fuzz
Jazzer
LibFuzzer
Python

Integrations

Atheris
C
C++
ClusterFuzz
Domino Enterprise MLOps Platform
Fuzzbuzz
Google ClusterFuzz
Google OSS-Fuzz
Jazzer
LibFuzzer
Python

Integrations

Atheris
C
C++
ClusterFuzz
Domino Enterprise MLOps Platform
Fuzzbuzz
Google ClusterFuzz
Google OSS-Fuzz
Jazzer
LibFuzzer
Python
Claim Atheris and update features and information
Claim Atheris and update features and information
Claim LibFuzzer and update features and information
Claim LibFuzzer and update features and information
Claim python-sql and update features and information
Claim python-sql and update features and information