kharma
Grammar-based fuzzing corpus generator (by Rog3rSm1th)
boofuzz
A fork and successor of the Sulley Fuzzing Framework (by jtpereyda)
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| kharma | boofuzz | |
|---|---|---|
| 3 | 1 | |
| 38 | 1,954 | |
| - | - | |
| 0.8 | 7.2 | |
| about 1 year ago | 4 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kharma
Posts with mentions or reviews of kharma.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Kharma : a State-of-the-Art grammar fuzzer
Github: https://github.com/Rog3rSm1th/kharma
- Kharma: A new grammar-based fuzzer
- Kharma: a new grammar-based fuzzer
boofuzz
Posts with mentions or reviews of boofuzz.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-07.
-
Microsoft Teams, Exchange Server, Windows 10 Hacked in Pwn2Own 2021
The one thing that's not really fully encapsulated in a lot of these comment chains below is the role of custom written fuzzers for competitions like this. Frameworks like AFL, BooFuzz, etc. A properly written test file will allow for most of the hunting to happen automagically by tampering with function calls or inputs until something crashes. By configuring an environment appropriately, you can run millions of test cases, and get the crashes logged to parse through later. This allows the researchers/exploit writers to only focus on the exceptions/traces that seem the most fruitful. This is one methodology, it's not the case for everyone, but most codebases are too big to go through the ASM by hand these days.
What are some alternatives?
When comparing kharma and boofuzz you can also consider the following projects:
FormatFuzzer - FormatFuzzer is a framework for high-efficiency, high-quality generation and parsing of binary inputs.
American Fuzzy Lop - american fuzzy lop - a security-oriented fuzzer
PyLFG - PyLFG is a Python library for working within the Lexical Functional Grammar (LFG) formalism. It provides a set of classes and methods for representing and manipulating LFG structures, including f-structures and c-structures.
libfuzzer - Thin interface for libFuzzer, an in-process, coverage-guided, evolutionary fuzzing engine.
grammarinator - ANTLR v4 grammar-based test generator
CrossHair - An analysis tool for Python that blurs the line between testing and type systems.