ACMSDiscovery | CMS detection , multi-threading , large fingerprint library

by aedoo Python Version: Current License: Apache-2.0

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

kandi X-RAY | ACMSDiscovery Summary

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

CMS识别，CMS检测，多线程，超大指纹库。CMS identification, CMS detection, multi-threading, large fingerprint library. python ACMSDiscovery.py -u -t 100. -u: 接需要扫描的网站URL -t: 线程数.

Support

Quality

Security

License

Reuse

Support

ACMSDiscovery has a low active ecosystem.

It has 29 star(s) with 13 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 425 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ACMSDiscovery is current.

Quality

ACMSDiscovery has 0 bugs and 0 code smells.

Security

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

ACMSDiscovery code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ACMSDiscovery 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

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

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

ACMSDiscovery saves you 51 person hours of effort in developing the same functionality from scratch.

It has 134 lines of code, 6 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 ACMSDiscovery and discovered the below as its top functions. This is intended to give you an instant insight into ACMSDiscovery implemented functionality, and help decide if they suit your requirements.

Main entry point .
Loop over the queue
Fetch data from a JSON file .
calculate md5 checksum
Fetch a file from a URL .
Initialize threading .

Get all kandi verified functions for this library.

ACMSDiscovery Key Features

No Key Features are available at this moment for ACMSDiscovery.

ACMSDiscovery Examples and Code Snippets

No Code Snippets are available at this moment for ACMSDiscovery.

Community Discussions

No Community Discussions are available at this moment for ACMSDiscovery.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install ACMSDiscovery

You can download it from GitHub.
You can use ACMSDiscovery 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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