FakeAP | Fake access point using dns spoof and ssl stripping | Security Testing library

by vtr0n Python Version: Current License: No License

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

kandi X-RAY | FakeAP Summary

FakeAP is a Python library typically used in Testing, Security Testing applications. FakeAP has no bugs, it has no vulnerabilities and it has low support. However FakeAP build file is not available. You can download it from GitHub.

Fake access point using dns2proxy and sslstrip2.

Support

Quality

Security

License

Reuse

Support

FakeAP has a low active ecosystem.

It has 17 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 403 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of FakeAP is current.

Quality

FakeAP has 0 bugs and 0 code smells.

Security

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

FakeAP code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

FakeAP does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

FakeAP saves you 926 person hours of effort in developing the same functionality from scratch.

It has 2112 lines of code, 209 functions and 31 files.

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

Top functions reviewed by kandi - BETA

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

Display answers for a question .
process the nospy files
Parse the IP packets .
Handle a DNS request .
Called when a host is resolved .
Dummy function for testing .
Add a secure link
Helper function to format a SPF query .
Parse the command line options .
Replace secure links

Get all kandi verified functions for this library.

FakeAP Key Features

No Key Features are available at this moment for FakeAP.

FakeAP Examples and Code Snippets

No Code Snippets are available at this moment for FakeAP.

Community Discussions

Trending Discussions on FakeAP

Creating a new csv and writing a variable result to the file

QUESTION

Creating a new csv and writing a variable result to the file

Asked 2018-Jan-27 at 20:44

I am running a python script to scan for a fakeAP in an area. Currently, the script has been configured to send an email notification to admin through the following code. I would like to create a new .csv file and save the result (message) to a csv file instead and get rid off all code for sending message notification. I have tried to write a simple script to help solve this problem but nothing seem to work. Any help solve this problem will be greatly appreciated. Thank you in advance

...

ANSWER

Answered 2018-Jan-27 at 01:44

The very basics would be something like following in python3.6 in terms of file write. Read is similar with mode 'r' . . .

Source https://stackoverflow.com/questions/48471630

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

Vulnerabilities

No vulnerabilities reported

Install FakeAP

You can download it from GitHub.
You can use FakeAP 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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