T-Fuzz | T-Fuzz consists of 2 components | Testing library

by HexHive Python Version: Current License: No License

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

kandi X-RAY | T-Fuzz Summary

T-Fuzz is a Python library typically used in Testing applications. T-Fuzz has no bugs and it has low support. However T-Fuzz has 3 vulnerabilities and it build file is not available. You can download it from GitHub.

T-Fuzz consists of 2 components:.

Support

Quality

Security

License

Reuse

Support

T-Fuzz has a low active ecosystem.

It has 224 star(s) with 36 fork(s). There are 35 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 14 have been closed. On average issues are closed in 102 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of T-Fuzz is current.

Quality

T-Fuzz has 0 bugs and 18 code smells.

Security

T-Fuzz has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

T-Fuzz code analysis shows 3 unresolved vulnerabilities (3 blocker, 0 critical, 0 major, 0 minor).

There are 2 security hotspots that need review.

License

T-Fuzz does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

T-Fuzz releases are not available. You will need to build from source code and install.

T-Fuzz has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

T-Fuzz saves you 399 person hours of effort in developing the same functionality from scratch.

It has 948 lines of code, 81 functions and 10 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Run shell
Getrlimit function to set rlimit
Close the stream
Detect the NCCs from the given acc_cov
Return the value of the function in which the given key
Return True if two addresses are the same
Sets up the runner environment
Returns the CGC type of the given binary
Check if qemu is installed
Return a list of generated files
Finds generated files
Collect the covariance of the target program
Replace input_file with input_opts
Negate a cjump instruction
Get the number of bytes of the given address
Stops fuzzer
Write the stat
Return the address of a conditional jump instruction
Context manager that yields r2
Return a list of crash files found in the fuzzer

Get all kandi verified functions for this library.

T-Fuzz Key Features

No Key Features are available at this moment for T-Fuzz.

T-Fuzz Examples and Code Snippets

No Code Snippets are available at this moment for T-Fuzz.

Community Discussions

Trending Discussions on T-Fuzz

How to get rid of trailing whitespaces

QUESTION

How to get rid of trailing whitespaces

Asked 2019-Jul-28 at 16:26

I'm attempting to finalize the ISC-style (Bind9/DHCP) configuration parser in pyparsing here (after searching the GitHub, Google, et. al. for so long).

ISC-style configuration file has the following quirky text attributes:

All C/C++/Bash comment styles
include file support
semicolon terminates before keywords
semicolon may or may not be directly next to token pattern
multi-line support (semicolon may be several lines later)

The closest coding style of ISC-style config syntax (also in pyparsing) which is NGINX, which I saw over there on GitHub. But that would mean ditching the auto-Whitespace handling of pyparsing, for I would like to keep that, if possible.

My already made PyParsing grammar syntax tree is now on shaky ground when I started performing input-fuzz unit testing.

...

ANSWER

Answered 2019-Jul-28 at 16:26

The issue is:

Source https://stackoverflow.com/questions/57225425

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

Vulnerabilities

No vulnerabilities reported

Install T-Fuzz

You can download it from GitHub.
You can use T-Fuzz 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.