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

License

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Support

DoHLyzer has a low active ecosystem.

It has 23 star(s) with 16 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 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.

It has 869 lines of code, 91 functions and 28 files.

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

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
Add a packet to the packet list
Load a dataset
Loads a JSON file
Create segments for a list of segments
Create a new SWiffer instance
Generate a new Session class
Visualize a sequence
Visualize the bar chart
Return the forward rate of the packet
Return the number of bytes in the forward header
Returns the reverse rate of the packet
Return the number of bytes for reverse header
Runs a model
Returns the ratio of header in - out
Return a list of the time in seconds
Return the first 100 bytes in the message

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.