attack_data | A repository of curated datasets from various attacks

by splunk Python Version: Current License: Apache-2.0

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

kandi X-RAY | attack_data Summary

attack_data is a Python library. attack_data has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However attack_data build file is not available. You can download it from GitHub.

GitHub LFS is used in this project. For Mac users git-lfs can be derived with homebrew (for another OS click here):.

Support

Quality

Security

License

Reuse

Support

attack_data has a low active ecosystem.

It has 419 star(s) with 66 fork(s). There are 37 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 4 have been closed. On average issues are closed in 65 days. There are 13 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of attack_data is current.

Quality

attack_data has 0 bugs and 0 code smells.

Security

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

attack_data code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

attack_data is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

attack_data releases are not available. You will need to build from source code and install.

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

Installation instructions, examples and code snippets are available.

attack_data saves you 105 person hours of effort in developing the same functionality from scratch.

It has 268 lines of code, 9 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Get a secret value
Add uuid to manifest
Send data to splunk
Uses cloudtrail cloudtrail cloudtrail
Reads the timestamp from a Windows event log file
Calculate timestamp exchange logs
Fix the timestamp for a given file
Parse configuration file
Converts all attack data objects in the given path relative to the given path
Load all the files in the given directory
Write a new object to disk
Load a yaml file
Write an object to a yaml file

Get all kandi verified functions for this library.

attack_data Key Features

No Key Features are available at this moment for attack_data.

attack_data Examples and Code Snippets

No Code Snippets are available at this moment for attack_data.

Community Discussions

Trending Discussions on attack_data

Decoding custom types from file

QUESTION

Decoding custom types from file

Asked 2018-May-04 at 12:30

I am teaching myself python in stages, and have started using JSON to help my basic little project. I have an object for a weapon

...

ANSWER

Answered 2018-Apr-23 at 12:12

True is not a valid json object - you probably want true.

A nicer way to 'tag' your objects with their type/class might be to use "__class__" : "weapon", then you will know all your classes will have a "class" attribute. E.g.

Source https://stackoverflow.com/questions/49979262

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

Vulnerabilities

No vulnerabilities reported

Install attack_data

GitHub LFS is used in this project. For Mac users git-lfs can be derived with homebrew (for another OS click here):.

Support

See T1003.002 for a complete example. Note the simplest way to generate a dataset to contribute is to launch your simulations in the attack_range, or manually attack the machines and when done dump the data using the dump function.

Find more information at: