I-See-You | Javascript tool to find the exact location | Security Testing library

by Viralmaniar Shell Version: Current License: No License

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kandi X-RAY | I-See-You Summary

I-See-You is a Shell library typically used in Testing, Security Testing applications. I-See-You has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

ISeeYou is a Bash and Javascript tool to find the exact location of the users during social engineering or phishing engagements. Using exact location coordinates an attacker can perform preliminary reconnaissance which will help them in performing further targeted attacks.

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Support

I-See-You has a low active ecosystem.

It has 526 star(s) with 100 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of I-See-You is current.

Quality

I-See-You has 0 bugs and 0 code smells.

Security

I-See-You has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

I-See-You code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

I-See-You 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

I-See-You releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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I-See-You Key Features

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I-See-You Examples and Code Snippets

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Community Discussions

Trending Discussions on I-See-You

Best practices for _id in PouchDB / CouchDB

QUESTION

Best practices for _id in PouchDB / CouchDB

Asked 2017-Aug-04 at 07:25

TL;DR: If one chooses to use fields like address and lastname in the _id of a document, how do you handle updates to address and lastname in a way that scales in a multi-device, sometimes offline environment.

I am looking for best practices when using fields in a document's _id that may change in the future. For example, address and/or lastname. Not only can a customer's address change, but what if a user entered the wrong address by mistake? What if the mistake was not found until after the document has been replicated across devices and updated on more than one device?

Is there a way to handle updates to _ids? For example, creating an entirely new document with a new _id and removing the old one? But does that scale in a multi-device, sometimes offline world?

For example:

...

ANSWER

Answered 2017-Mar-02 at 15:46

If your id contains information that is frequently changing, then it's best just not to store that information in the id. The optimization to pack as much user information as possible into ids is a good one, but it breaks down if that information ever changes, because once the id changes you can't really track changes to that document anymore because it effectively becomes a new document.

In your case you should probably make the id something else (random, even) and then use mapreduce/pouchdb-find for querying.

Source https://stackoverflow.com/questions/42473556

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