fraudster | Disposable Mails From Command Line | Command Line Interface library

by TheSpeedX Python Version: 1.3beta License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | fraudster Summary

fraudster is a Python library typically used in Utilities, Command Line Interface applications. fraudster has no bugs, it has no vulnerabilities, it has build file available and it has low support. However fraudster has a Non-SPDX License. You can install using 'pip install fraudster' or download it from GitHub, PyPI.

Disposable Mails From Command Line

Support

Quality

Security

License

Reuse

Support

fraudster has a low active ecosystem.

It has 32 star(s) with 20 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

fraudster has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of fraudster is 1.3beta

Quality

fraudster has 0 bugs and 0 code smells.

Security

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

fraudster code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fraudster has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

fraudster releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

fraudster saves you 36 person hours of effort in developing the same functionality from scratch.

It has 98 lines of code, 6 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Get email address
Generate a username
Get a list of available domains

Get all kandi verified functions for this library.

fraudster Key Features

No Key Features are available at this moment for fraudster.

fraudster Examples and Code Snippets

No Code Snippets are available at this moment for fraudster.

Community Discussions

Trending Discussions on fraudster

Removing strings within an html element duplicate content

lightning network, identity cahnnel

How to normalize output from BERT classifier

how to create fraud detection with SQL?

Recursive CTE / transitive closure in pandas

Is it possible to do that using recursive CTE in SQL for this complicated scenario? Please suggest me any alternative way

AdMob starts implementing support for app-ads.txt files

Problem deserializing property 'created' (expected type: [simple type, class java.time.LocalDate]

Parse JSON to dataframe returns different numbers

Python, Pandas, XML - split a XML element based on length

QUESTION

Removing strings within an html element duplicate content

Asked 2021-Jun-05 at 13:22

My initial HTML looks like this:

...

ANSWER

Answered 2021-Jun-05 at 13:22

Perhaps you can try with regex in JS.

Here's a codepen: https://codepen.io/johna138/pen/jOBxBLe

Source https://stackoverflow.com/questions/67849792

QUESTION

lightning network, identity cahnnel

Asked 2021-Mar-11 at 09:19

I want to make a service that allows to bind private user's channels to a user's account.

The user opens a private channel with my node. But I don't know which user exactly.

To identify the channel, I plan to ask the BOLT11 request from user, with a unique identifier in the description, like an SMS code. BOLT11 specifies the target address of the payment. I will find a route for this request and thus determine the user's channel.

Is such a scheme safe? Can a fraudster create a BOLT11 request for a channel that does not belong to him? Сan you suggest a better identification scheme?

...

ANSWER

Answered 2021-Feb-13 at 09:37

The safest way would be if the user signes a message with one of the keys that he uses to sign commitment transactions. This would certainly bind his identity to the channel. However current implementations don't offer that api. But that does not mean that this would not be possible

Source https://stackoverflow.com/questions/66183448

QUESTION

How to normalize output from BERT classifier

Asked 2020-Nov-26 at 05:08

I've trained a BERT classifier using HuggingFace transformers.TFBertForSequenceClassification classifier. It's working fine, but when using the model.predict() method, it gives a tuple as output which are not normalized between [0, 1]. E.g. I trained the model to classify news articles into fraud and non-fraud category. Then I fed the following 4 test data to the model for prediction:

...

ANSWER

Answered 2020-Nov-26 at 05:08

Yes. You can use softmax. To be more precise, use an argmax over softmax to get label predictions like 0 or 1.

Source https://stackoverflow.com/questions/63112907

QUESTION

how to create fraud detection with SQL?

Asked 2020-Nov-06 at 04:28

I have a scenario where:

User A is (fraudster).
User B is not (fraudster). However, the system will not allow user B to do any action. Because B and A are using the same Phone Number(Shared attribute with Fraud User).(1 layer).
User D is not (fraudster). But D is using the same Deviceid with B and B is sharing attribute with fraud User. Then block User D as well. In this case, there are 2 layers. D compare with B, B compares with A. In this sample example there are 3 users. if I have 100 users! the query will be very long which will have 99 layers.

*Note: I do not want to Update B and D to be a fraudster. they are just shared attributes with fraud users. So If I decided to change user A to be not a fraudster. No changes with the other users.

...

ANSWER

Answered 2020-Jun-22 at 06:57

To be honest Question is pretty abstract, so need to make few assumptions as follows,

Assuming database server as MySQL
Considering this that data of fraudster accounts is already present in table.
The duplication of fields MobileNo OR DeviceId OR EmailId OR IPAddress decides fradster.

So to answer your question,

Create a AfterUpdate trigger on your table.
In that trigger Fetch and Update rows those having duplicate value for either MobileNo OR DeviceId OR EmailId OR IPAddress.

Fire Update query only if, NEW.IsFraudsterStatus = 1,

Source https://stackoverflow.com/questions/62507539

QUESTION

Recursive CTE / transitive closure in pandas

Asked 2020-Jun-29 at 08:47

My scenario:

User A is (fraudster).
User B is not (fraudster). However, the system will not allow user B to do any action. Because B and A are using the same Phone Number(Shared attribute with Fraud User). (1 layer).
User D is not (fraudster). But D is using the same Deviceid with B and B is sharing attribute with fraud User. Then block User D as well. In this case, there are 2 layers. D compare with B, B compares with A.

I can do that using Recursive CTE. However, My supervisor asked me to find an alternative way for that :(.

Recursive CTE Code:

...

ANSWER

Answered 2020-Jun-29 at 08:27

Here's a solution. It basically calculates the transitive closure of the fraudster users:

Source https://stackoverflow.com/questions/62632967

QUESTION

Is it possible to do that using recursive CTE in SQL for this complicated scenario? Please suggest me any alternative way

Asked 2020-Jun-23 at 11:37

My scenario:

User A is (fraudster).
User B is not (fraudster). However, the system will not allow user B to do any action. Because B and A are using the same Phone Number(Shared attribute with Fraud User).(1 layer).
User D is not (fraudster). But D is using the same Deviceid with B and B is sharing attribute with fraud User. Then block User D as well. In this case, there are 2 layers. D compare with B, B compares with A.

My code:

...

ANSWER

Answered 2020-Jun-22 at 10:41

You can use a recursive CTE for this. If you only want fraudsters, something like this should work:

Source https://stackoverflow.com/questions/62512416

QUESTION

AdMob starts implementing support for app-ads.txt files

Asked 2020-May-17 at 10:47

I received a mail today titled AdMob starts implementing support for app-ads.txt files

Ensure that the app - ads.txt file is executed correctly before enforcing execution

At Google, we’re always committed to protecting your apps for the profit you want. One of the key challenges for applications is fraudulent publisher inventory from some abusers. To help publishers meet this challenge, we’re ready to support and implement app-ads.txt files in all ad systems to ensure that what advertisers spend reaches the desired publishers.

What is app-ads.txt?

App-ads.txt is an addition to the original ads.txt standard, which provides a mechanism for web publishers to advertise digital media vendors. It is designed to protect app publishers from fraud in the publisher inventory by fraudsters.

What changes will happen, and what do they mean to you?

We are happy to announce the support and implementation of app-ads.txt files in AdMob for publishers who have published the app-ads.txt file in their app developer domain, starting 2019-08-08.

To prepare for this change, please make sure that the app-ads.txt file published in your app's developer domain does not contain any errors or spelling problems.

How can you make sure that the app-ads.txt file is executed correctly?

If your file contains any errors or spelling problems, this will expose your ads to blocking, because any files posted are a source of verification for execution.

Therefore, it is extremely important to properly execute the file and correct any errors before 2019-08-08, otherwise the file will be unpublished from your domain to avoid any unwanted loss of profits.

As such, we invite you to carefully review the app-ads.txt file if you have published any files before the implementation date. The file must be published in the root directory of the website displayed in your listing on the Android Play Store or iOS App Store. You can get more details on the IAB hosting specifications.

I understand that the app-ads.txt is like Google Adsense ads.txt and is currently in the /ads.txt extension after the domain name, so How do I add the code to the new extension /app-ads.txt ?

...

ANSWER

Answered 2019-Aug-09 at 05:38

Ad Network Company has lunched app-ads.txt to prevent Ad Frauds and Here I Explain to you How to use app-ads.txt in Ad Network?

First of all, buy new domain relevant to your applications and add this domain(website) to your application store listing page now generate an app-ads.txt file from your Admob account

Click on Apps from the left sidebar
Click View All Apps
Now click app-ads.txt file to generate publisher id.
Now copy this code snippet and save it in app-ads.txt and put this file in the root directory of your domain.

Google will automatically crawl this file within 24 hours

Source https://stackoverflow.com/questions/57412259

QUESTION

Problem deserializing property 'created' (expected type: [simple type, class java.time.LocalDate]

Asked 2019-Jun-05 at 08:54

I work with an integration class where a test is failing. The class is provided below,

...

ANSWER

Answered 2019-Jun-05 at 07:25

@JsonDeserialize( using = JavaOffsetDateTimeDeserializer.class )
@JsonSerialize( using = JavaOffsetDateTimeSerializer.class )
private LocalDate created;

Source https://stackoverflow.com/questions/56455777

QUESTION

Parse JSON to dataframe returns different numbers

Asked 2018-Dec-10 at 16:13

I have the following JSON:

...

ANSWER

Answered 2018-Dec-10 at 16:13

It looks like a rounding error to me, as you have an awful lot of digits. I guess in order to even show your data.frame you had to specify that you wanted a lot of digits, and in the documentation for ?print it says

"Note that for large values of digits, currently for digits >= 16, the calculation of the number of significant digits will depend on the platform's internal (C library) implementation of sprintf() functionality."

So the question is what you actually want to do with the data. Assuming your first value means "2018-12-05 13:55:18 UTC", you have nano-second precision specified, and there are rounding errors in the ~100 ns-scale. Is that a problem?

If you have experiments that are very time-sensitive, I suggest choosing a different t=0, then your precision improves. If you want just the import to go right I suggest telling fromJSON you want it as a character (the docs are not very clear, but bigint_as_char=TRUE does the trick).
That's also the most useful if you just want to use it as a kind of ID.

Source https://stackoverflow.com/questions/53708749

QUESTION

Python, Pandas, XML - split a XML element based on length

Asked 2018-Oct-02 at 16:03

I'm parsing an XML file, and one of the child elements occasionally contains more than 4000 characters. When it does, I want to create a second element to store the overflow characters in, before saving it to a pandas dataframe. Once I build the dataframe, I export it to Excel (I know how to do that).

Or when parsing and it has more than 4000 characters, dynamically create a new dataframe column to store the data in (I think this is the better solution as the data is exported to Excel for reporting)

...

ANSWER

Answered 2018-Oct-02 at 16:03

Rather than BeautifulSoup, consider using lxml to run the siblings, XSLT and XPath:

XSLT can transform your original XML for the added OVERFLOW element using the substring() and string-length() functions.
XPath can parse new, transformed tree for mapping values to a pandas data frame either with a loop or list/dict comprehension.

XSLT (save as .xslt file, a special .xml file)

Source https://stackoverflow.com/questions/52608412

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

Vulnerabilities

No vulnerabilities reported

Install fraudster

You can install using 'pip install fraudster' or download it from GitHub, PyPI.
You can use fraudster 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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