FECT | Fast Evidence Collector Toolkit is an incident response | Cybersecurity library

by jipegit Python Version: Current License: Non-SPDX

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

kandi X-RAY | FECT Summary

FECT is a Python library typically used in Security, Cybersecurity applications. FECT has no bugs, it has no vulnerabilities, it has build file available and it has low support. However FECT has a Non-SPDX License. You can download it from GitHub.

Fast Evidence Collector Toolkit is an incident response toolkit to collect evidences on a suspicious windows computer

Support

Quality

Security

License

Reuse

Support

FECT has a low active ecosystem.

It has 38 star(s) with 12 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

FECT has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FECT is current.

Quality

FECT has 0 bugs and 0 code smells.

Security

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

FECT code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FECT has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

FECT 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.

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

FECT saves you 139 person hours of effort in developing the same functionality from scratch.

It has 347 lines of code, 5 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Main entry point .
Compute md5 checksum of a file .
Prints the given string to the debugger .

Get all kandi verified functions for this library.

FECT Key Features

No Key Features are available at this moment for FECT.

FECT Examples and Code Snippets

No Code Snippets are available at this moment for FECT.

Community Discussions

Trending Discussions on FECT

JQuery Ajax to Fetch Conversion clarificartions

QUESTION

JQuery Ajax to Fetch Conversion clarificartions

Asked 2019-Sep-26 at 15:11

I have a ajax wrapper functions in my project. I'll be calling this wrapper function to perform ajax requests in my application. Now I'm planning to change this to use fetch. But since I'm new I got some questions inside me. I believe this question we helpful to people who is planning to move from Jquery Ajax to Fetch. Here is the code and questions.

My old Jquery Ajax wrapper function:

...

ANSWER

Answered 2019-Sep-26 at 15:08

After some learning and works, Here is how I implemented fetch API wrappers in my project along with showing/hiding spinners and removed ajax wrappers.

Fetch GET wrapper:

Source https://stackoverflow.com/questions/58078804

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

Vulnerabilities

No vulnerabilities reported

Install FECT

Just copy all files from github.
Edit FECT.py and fill the autorunsc_exe_hex_encoded variable with a hex encoded version of the autorunsc binary. You can use the provided pyBinHexEncoder.py script to generate it. Then type: python setup py2exe.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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