Pyfuzzer Alternatives

Similar projects and alternatives to pyfuzzer

American Fuzzy Lop

21 2,903 0.0 C pyfuzzer VS American Fuzzy Lop

Discontinued american fuzzy lop - a security-oriented fuzzer
AFLplusplus

16 4,646 9.7 C pyfuzzer VS AFLplusplus

The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!
InfluxDB

www.influxdata.com featured

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
atheris

1 1,318 7.7 Python pyfuzzer VS atheris
dirsearch

12 11,271 7.7 Python pyfuzzer VS dirsearch

Web path scanner
clusterfuzz

3 5,203 9.8 Python pyfuzzer VS clusterfuzz

Scalable fuzzing infrastructure.
hypothesis

20 7,289 9.9 Python pyfuzzer VS hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
dnstwist

23 4,550 7.6 Python pyfuzzer VS dnstwist

Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation
SaaSHub

www.saashub.com featured

SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better pyfuzzer alternative or higher similarity.

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pyfuzzer reviews and mentions

Posts with mentions or reviews of pyfuzzer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-17.

Frelatage: A fuzzing library to find vulnerabilities and bugs in Python applications
4 projects | /r/Python | 17 Mar 2022

Frelatage is a coverage-based Python fuzzing library which can be used to fuzz python code. The development of Frelatage was inspired by various other fuzzers, including AFL/AFL++, Atheris and PyFuzzer.The main purpose of the project is to take advantage of the best features of these fuzzers and gather them together into a new tool in order to efficiently fuzz python applications.