markransom | Simple but sharp ransomware | Encryption library

by r3nt0n Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | markransom Summary

markransom is a Python library typically used in Security, Encryption applications. markransom has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Markransom is a tool created to encrypt all the files that matches an extension pattern. Can be decrypted with decipher.py and the encryption key generated. The app will generate an AES256 key and an optional messsage in the desktop. You can configure your own settings in the firsts lines of the script. This app was written in 2017.

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Quality

Security

License

Reuse

Support

markransom has a low active ecosystem.

It has 24 star(s) with 16 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of markransom is current.

Quality

markransom has no bugs reported.

Security

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

License

markransom is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

markransom 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 not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Find files and decrypt them
Encrypt a file
Decrypts a file
This function is called when a key is started
Return a list of filesystem paths
Start a test disk

Get all kandi verified functions for this library.

markransom Key Features

No Key Features are available at this moment for markransom.

markransom Examples and Code Snippets

No Code Snippets are available at this moment for markransom.

Community Discussions

Trending Discussions on markransom

What is the time complexity of checking membership in dict.items()?

Numpy: Compare float with threshold

QUESTION

What is the time complexity of checking membership in dict.items()?

Asked 2020-Jun-26 at 17:14

What is the time complexity of checking membership in dict.items()?

According to the documentation:

Keys views are set-like since their entries are unique and hashable. If all values are hashable, so that (key, value) pairs are unique and hashable, then the items view is also set-like. (Values views are not treated as set-like since the entries are generally not unique.) For set-like views, all of the operations defined for the abstract base class collections.abc.Set are available (for example, ==, <, or ^).

So I did some testing with the following code:

...

ANSWER

Answered 2020-Jun-26 at 04:38

Lookup in an instance of dict_items is an O(1) operation (though one with an arbitrarily large constant, related to the complexity of comparing values.)

dictitems_contains doesn't simply try to hash the tuple and look it up in a set-like collection of key/value pairs.

(Note: all of the following links are just to different lines of dictitems_contain, if you don't want to click on them individually.)

To evaluate

Source https://stackoverflow.com/questions/62578492

QUESTION

Numpy: Compare float with threshold

Asked 2017-Mar-11 at 18:12

I found how to compare floats with equality here:

Compare `float` and `float64` in python

Working with floating point NumPy arrays for comparison and related operations

and in other similar questions.

But I can't find the best way how to compare correctly floats with threshold(greater or less).

Example: We want to check if elements in float matrix is less than float threshold.

...

ANSWER

Answered 2017-Mar-11 at 17:17

In most practical circumstances an exact comparison will be not be possible because of the little errors you collect while doing calculations.

If you want to do proper numerics you'll have to carry an error estimate along with all your results which is quite tedious.

(There is a library called flint with a python interface but I haven't used it so cannot vouch for it. It is designed to do the carrying error bounds (more rigorous than estimates) along all results for you.)

In any case you will have to change the list of possible outcomes from greater, equal, less to something more like greater, probably greater, indistinguishable, probably less, less

Source https://stackoverflow.com/questions/42737840

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

Vulnerabilities

No vulnerabilities reported

Install markransom

You can download it from GitHub.
You can use markransom 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.

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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