WASE | Web Audit Search Engine - Index and Search HTTP Requests | Search Engine library

by thomaspatzke Python Version: Current License: GPL-3.0

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

kandi X-RAY | WASE Summary

WASE is a Python library typically used in Database, Search Engine applications. WASE 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.

WASE is a shortcut for Web Audit Search Engine. It's a framework for indexing HTTP requests/responses while web application audits in an ElasticSearch instance and enriching it with useful data. The indexed data can then be searched and aggregated with ElasticSearch queries or with Kibana.

Support

Quality

Security

License

Reuse

Support

WASE has a low active ecosystem.

It has 101 star(s) with 46 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 5 have been closed. On average issues are closed in 50 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of WASE is current.

Quality

WASE has 0 bugs and 0 code smells.

Security

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

WASE code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

WASE 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

WASE 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.

WASE saves you 354 person hours of effort in developing the same functionality from scratch.

It has 846 lines of code, 44 functions and 6 files.

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

Top functions reviewed by kandi - BETA

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

Create menu items
Generate a ES documentation response
Add a response header
Add response cookie
Add a request parameter
Add a header to the request
Parse the given header
Generates a function to add items to ElasticSearch
Process an HTTP message
Saves the response body
Gets the UI component
Reset the UI
Register extension
Applies configuration settings
Save the response
Close the parser
Handle opening tag
Check if attribute is in attr
Apply config UI

Get all kandi verified functions for this library.

WASE Key Features

No Key Features are available at this moment for WASE.

WASE Examples and Code Snippets

No Code Snippets are available at this moment for WASE.

Community Discussions

Trending Discussions on WASE

Flutter Problem in FireAuth Email Verification

QUESTION

Flutter Problem in FireAuth Email Verification

Asked 2021-Feb-06 at 15:42

I tried to make email verification and the problem is that the app registered the user without sending the email

this is my Function code

...

ANSWER

Answered 2021-Feb-06 at 15:37

I think you could check if Firebase User user.isEmailVerified is true

Source https://stackoverflow.com/questions/66078244

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

Vulnerabilities

No vulnerabilities reported

Install WASE

Currently there seem to be incompatibilities with the new Python Elasticsearch packages. Specify the 2.2 version when installing with pip: $JYTHON_HOME/bin/pip install elasticsearch_dsl==2.2.
Install ElasticSearch and Kibana.
Configure both - For security reasons it is recommend to let them listen on localhost:
Set network.host: 127.0.0.1 in /etc/elasticsearch/elasticsearch.yml.
Set host: "127.0.0.1" in /opt/kibana/config/kibana.yml.
Install dependencies in the Jython environment used by Burp Extender with: $JYTHON_PATH/bin/pip install -r requirements.txt
Load ElasticBurp.py as Python extension in Burp Extender.

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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