Massive online database left over 42 MILLION user records from dating apps exposed

This is a partial, non-exhaustive list of notable online dating websites and mobile apps. From Wikipedia, the free encyclopedia. Wikimedia list article. This is a dynamic list and may never be able to satisfy particular standards for completeness. You can help by expanding it with reliably sourced entries. Retrieved

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By Annie Palmer For Dailymail. A Chinese database has exposed Worryingly, the data left exposed included users’ IP addresses, geolocation data, age and usernames. The data included IP addresses, geolocation data, ages and usernames. The database included Among the dating apps the information was pulled from include Cougardating, Christiansfinder, Mingler, Fwbs friends with benefits and TS Dating.

Fowler used the records of users’ ages, location and account names to identify them on other apps and services and verify they’re real.

Global Dating App Users Exposed in Multiple Security Snafus

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Learn how to begin mapping relationships in preparation of building a dating site. We’ll also see how a graph database can help with the.

Database contains A security researcher has discovered an unsecured online database that contains ten of millions of records, from users of a number of different dating apps. The discovery was made by researcher Jeremiah Fowler of SecurityDiscovery. The IP address of the database is located on a US server, and according to Fowler, a majority of the users appear to be Americans based on their user IP and geolocations. However there are strong indications that the database is linked to China.

The IP and geolocation stored in the database confirmed the location the user put in their other profiles using the same username or login ID. Fowler said that Security Discovery always tries to follow a responsible disclosure process, but in this case the only contact information that could be found was fake. He did send two notifications to email accounts that were connected to the domain registration and one of the websites.

A Whois domain registration search for ownership of the database revealed a Metro train station in China. A security expert pointed out that misconfigured or leaky databases seems to be a common security theme of late. Note that this need exists for all software and its various components. In Adult FriendFinder, a leading dating and sex website, confirmed it was investigating reports that it has been hacked …again.

The adult website admitted in that its systems had been breached by hackers, who leaked detailed personal information on millions of users. Do you know all about security?

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Blurry (dating app hosted by ) – Approximately 70, records were exposed by the South Korean app. The database of.

By using our site, you acknowledge that you have read and understand our Cookie Policy , Privacy Policy , and our Terms of Service. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. After researching, I am very confused whether there is a common “best practice” data model, algorithm for this. My approach is using Redis Cluster:.

I am inexperienced and can not foresee potential problem if scaling happen for million of concurrent users. Mongodb has inbuilt support for geospatial queries, hence it is easy to find users within 1 km radius of another user. It’s a good thing to understand how it works, and it’s really quite fascinating. This technique can also be used to create highly efficient indexes on a relational database.

Redis does have native support for this, but if you’re using ElastiCache, that version of Redis does not, and you’ll need to mange this in your API. Any Relational Database will give you the most flexibility and simplest solution. The problem you may face is query times. I can also talk a bit about Redis: The sorted set operations are blazingly fast, but you need to filter. Either you have to scan through your nearby result and lookup meta information to filter, or maintain separate sets for every combination of filter you may need.

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Not cool. Not cool at all. Or maybe it will. How many dating apps can you name? I can think of at least a dozen. But we all need to start somewhere.

Several of the largest dating sites in the world have shifted toward graph databases in the last nine months. LinkedIn has a large team working on a proprietary.

Jeff Stone. A sampling of 10, users revealed that 8, were from the U. About Dating logs made up He did not reveal the location of the database, which uses the Elastic format. Dialing the phone number only reached a line that had been powered off, he said. The only way to contact the developer would be to install the applications.

The database, which was still online at press time, did not include financial information, though it did provide a path for outsiders to view personal details about an app user, Fowler wrote. A security researcher in February told CyberScoop about an unrelated database containing information from roughly 14 million Instagram accounts, apparently collected by a third party that was scraping data for analysis later.

Motivation in that case could have included targeted marketing or combining leaked usernames with stolen passwords to breach social media identities. Close Ad. Continue to CyberScoop.

Dating Search Engine – Dating Profile Username Search

The latest one came today from Heyyo, an online adult dating app. The data involved 77, users and included user names, email address, country, GPS location, gender, date of birth, dating history, sexual preferences, social media account details, phone number and in some cases occupation. Users came from a broad range of countries, including the U. The database was eventually taken down but only after ZDNet contacted the company. The dangers of exposing consumer information are not just limited to the internet — there are very real risks to physical safety.

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I am tasked with designing a dating site in laravel with mysql as the database platform. I have not had a lot of advanced database design experience so I am hoping someone can help me out with this one For each user there is a profile some profile questions might be: nationality, education, age, eye color, etc, etc.. Each of these profile questions could either contain a single value from a radio button example: are you male or female , multiple values from a list of checkboxes example: check your hobbies and interests or text ex: tell in a short paragraph what you are looking for.

Does anyone have any advice as to the best way to design this. Here are some of the options I am considering:. I see this as being a problem because there could be upwards of 50 table joins for each search query and the database would need to be updated if a profile question is added or no longer used. I see this a being a problem as this table could contain up to 70 columns and I think serially searching through this one gigantic table could be very slow if the user base gets large.

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Leaky Chinese database exposes 42.5 million records from dating apps

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These records are finally being digitised, creating that database for potential animal matches fundamentally the same as a dating animal. It’s called the.

Comment 1. You might have already heard that Facebook is getting into the Dating business. Dating sites face a series of challenges, the first one is lack of users. Only two ways to fix that, the first one involves having lots of money to pay for national advertisements, the second involves word of mouth. So you dear reader have to either invest a few million dollars or join our new dating site and tell all your friends about it. The second challenge is matching people together.

We want to find people who share common values, both in terms of the things they love and hate. Sometimes though, it is opposites that attract. The third challenge dating sites face is messages. More specifically crude overtly sexual messages from desperate uglies to every profile. Other sites have decided that only women may send messages. More on that in a bit. The fourth challenge is getting people to keep coming back to the dating site and staying there.

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