CrossLinked | LinkedIn enumeration tool to extract valid employee names | Security Testing library

by m8r0wn Python Version: v0.0.5 License: GPL-3.0

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

kandi X-RAY | CrossLinked Summary

CrossLinked is a Python library typically used in Testing, Security Testing applications. CrossLinked has no bugs, it has build file available, it has a Strong Copyleft License and it has low support. However CrossLinked has 1 vulnerabilities. You can download it from GitHub.

CrossLinked is a LinkedIn enumeration tool that uses search engine scraping to collect valid employee names from a target organization. This technique provides accurate results without the use of API keys, credentials, or even accessing the site directly. Formats can then be applied in the command line arguments to turn these names into email addresses, domain accounts, and more. For a full breakdown of the tool and example output, checkout:

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Quality

Security

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Support

CrossLinked has a low active ecosystem.

It has 293 star(s) with 71 fork(s). There are 22 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 12 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CrossLinked is v0.0.5

Quality

CrossLinked has 0 bugs and 13 code smells.

Security

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

CrossLinked code analysis shows 1 unresolved vulnerabilities (0 blocker, 1 critical, 0 major, 0 minor).

There are 1 security hotspots that need review.

License

CrossLinked 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

CrossLinked releases are available to install and integrate.

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

Extracts a linkedin from a linked link .
Create username list .
Print a banner .
Validate a user .
Prepare output file .
Return a list of linked users .
Format name .
Format name .
Extract links from response .
Check if file exists .

Get all kandi verified functions for this library.

CrossLinked Key Features

No Key Features are available at this moment for CrossLinked.

CrossLinked Examples and Code Snippets

No Code Snippets are available at this moment for CrossLinked.

Community Discussions

Trending Discussions on Security Testing

DAST security scaning of a IoT Nodemcu esp8266 LUA script www HTML server connected to camera and A/C relay

QUESTION

DAST security scaning of a IoT Nodemcu esp8266 LUA script www HTML server connected to camera and A/C relay

Asked 2021-Apr-08 at 01:04

I have not, but shall DAST* security test, out of curiosity, an IoT device; Nodemcu esp8266 www server I built. It's showing a HTML page (on a mobile phone for example) that allows to control and interact with a camera module and a A/C relay. With it I can for example show images captured in the camera I even think it has some image recognition built in, and I can switch on and off a relay for electrical current to a light bulb (110/220v A/C power)

Before I start pentest I though I better start thinking of what types of exploits one would be able to find and detect? Which sinister exploits I will be able to find, or rather ought be able to find given a proper pentest exercise? (And if I do not find exploits, my approach to the pentest of the Iot might be wrong)

I ponder it might be a totally pointless exercise since the esp8266 www server (or rather its LUA programming libraries) might not have any security built into it, so basically it is "open doors" and everything with it is unsafe ?

The test report might just conclude what I can foresee be that the the "user input needs to be sanitized"?

Anyone have any idea what such pentest of a generic IoT device generally reports? Maybe it is possible to crash or reset the IoT device? Buffer overruns, XXS, call own code ?

I might use ZAP or Burpsuite or similar DAST security test tool.

I could of course SAST test it instead, or too, but I think it will be hard to find a static code analyzer for the NodeMCU libraries and NUA scripting language easily ? I found some references here though: https://ieeexplore.ieee.org/abstract/document/8227299 but it seems to be a long read.

So if someone just have a short answer what to expect in a DAST scan/pentest , it would be much appreciated.

Stay safe and secure out there ! Zombieboy

...

ANSWER

Answered 2021-Apr-08 at 01:04

I do my vulnerability scanning with OpenVAS (I assume this is what you mean by pentesting?). I am not aware of any IOT focused Tools.

If your server is running on esp8266, i would imagine that there is no much room for authentication and encryption of http traffic, but correct me if i am wrong).

Vulnerability Scan results might show things like unencrypted http traffic, credentials transmitted in cleartext (if you have any credentials fields in the pages served by the web server) etc. Depending on if there is encryption, you might also see weak encryption findings.

You might get some false positives on your lua webserver reacting like other known webservers when exploits are applied. I have seen this kind of false positive specially on DoS vulnerabilities when a vulnerability scan is testing a vulnerability and the server becomes unresponsive. Depending on how invasive your vulnerability scanner is, you might get a lot of false positives for DoS on such a constrained platform.

Source https://stackoverflow.com/questions/66995125

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

Vulnerabilities

No vulnerabilities reported

Install CrossLinked

You can download it from GitHub.
You can use CrossLinked 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

The latest version of CrossLinked provides proxy support through the Taser library. Users can mask their traffic with a single proxy by adding --proxy 127.0.0.1:8080 to the command line arguments, or use --proxy-file proxies.txt for rotating source addresses. http/https proxies can be added in IP:PORT notation, while SOCKS requires a socks4:// or socks5:// prefix.

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