DoHlyzer | traffic flow generator and analyzer for anomaly detection | DNS library

by ahlashkari Python Version: Current License: Non-SPDX

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

kandi X-RAY | DoHlyzer Summary

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

Set of tools to capture HTTPS traffic, extract statistical and time-series features from it, and analyze them with a focus on detecting and characterizing DoH (DNS-over-HTTPS) traffic.

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Quality

Security

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Support

DoHlyzer has a low active ecosystem.

It has 15 star(s) with 13 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 4 have been closed. On average issues are closed in 42 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DoHlyzer is current.

Quality

DoHlyzer has 0 bugs and 0 code smells.

Security

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

DoHlyzer code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DoHlyzer 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

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

Called when a packet is received
Return the data for this flow
Garbage collection
Adds a packet to the packet
Load a dataset
Load data from a JSON file
Create segment list
Visualize a sequence
Visualize the chart
Create a Sciffer instance
Generate a new Session class
Returns the forward rate of the packet
Returns the number of bytes in the forward header
Return the rate of the reverse rate
Return the number of bytes of the reverse header
Return the ratio of the header in out of the header
Returns a list of time in seconds
Returns the first fifty bytes of the message
Runs a pre - trained model

Get all kandi verified functions for this library.

DoHlyzer Key Features

No Key Features are available at this moment for DoHlyzer.

DoHlyzer Examples and Code Snippets

No Code Snippets are available at this moment for DoHlyzer.

Community Discussions

Trending Discussions on DoHlyzer

Python module can't be found in DoHlyzer tool

QUESTION

Python module can't be found in DoHlyzer tool

Asked 2020-Aug-25 at 14:40

I'm trying to use the DoHlyzer tool. When I launch dohlyzer.py which is in the meter folder I got the error

...

ANSWER

Answered 2020-Aug-25 at 14:12

The issue is that this code is not properly built, as it considers itself being installed as a module, without providing a proper setup.py/pyproject.toml file to make it installable.

So as a quick'n dirty way to make it work you can add a sample setup.py file so that you can install the tool:

Source https://stackoverflow.com/questions/63580025

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

Vulnerabilities

No vulnerabilities reported

Install DoHlyzer

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