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Therefore I reverse engineered two apps that are dating.

Therefore I reverse engineered two apps that are dating.

And I got a session that is zero-click as well as other enjoyable weaknesses

On this page I reveal a few of my findings through the reverse engineering associated with apps Coffee Meets Bagel as well as the League. I’ve identified a few critical weaknesses through the research, every one of which have now been reported into the vendors that are affected.


Within these unprecedented times, greater numbers of individuals are escaping to the world that is digital deal with social distancing. Of these right times cyber-security is more crucial than in the past. From my experience that is limited few startups are mindful of security guidelines. The businesses accountable for a big number of dating apps are not any exception. We started this small scientific study to see exactly exactly just how secure the latest relationship apps are.

Accountable disclosure

All severity that is high disclosed in this article are reported towards the vendors. By the period of publishing, matching patches have now been released, and I have actually separately confirmed that the repairs have been in spot.

I am going to perhaps maybe maybe not offer details within their APIs that is proprietary unless.

The prospect apps

We picked two popular apps that are dating on iOS and Android os.

Coffee Suits Bagel

Coffee satisfies Bagel or CMB for brief, launched in 2012, is famous for showing users a number that is limited of every single day. They are hacked when in 2019, with 6 million reports taken. Leaked information included a name that is full email, age, enrollment date, and sex. CMB happens to be gathering popularity in the past few years, and makes a beneficial prospect because of this task.

The League

The tagline for The League software is “date intelligently”. Launched time in 2015, it really is an app that is members-only with acceptance and fits centered on LinkedIn and Twitter profiles. The software is more selective and expensive than its options, it is protection on par using the cost?

Testing methodologies

I prefer a mix of static analysis and powerful analysis for reverse engineering. For fixed analysis we decompile the APK, mostly making use of apktool and jadx. For powerful analysis an MITM is used by me system proxy with SSL proxy capabilities.

Most of the screening is completed in a very rooted Android emulator running Android os 8 Oreo. Tests that need more capabilities are done on a proper Android unit lineage that is running 16 (considering Android os Pie), rooted with Magisk.

Findings on CMB

Both apps have great deal of trackers and telemetry, but i assume this is certainly simply their state associated with industry. CMB has more trackers compared to the League though.

See whom disliked you on CMB with this specific one trick that is simple

The API includes a pair_action industry in almost every bagel item and it’s also an enum aided by the values that are following

There is certainly an API that offered a bagel ID returns the bagel item. The bagel ID is shown into the batch of day-to-day bagels. Therefore you, you could try the following if you want to see if someone has rejected:

This might be a vulnerability that is harmless however it is funny that this industry is exposed through the API it is unavailable through the application.

Geolocation information drip, although not actually

CMB shows other users’ longitude and latitude up to 2 decimal places, that is around 1 mile that is square. Luckily this given info is perhaps perhaps perhaps not real-time, which is just updated whenever a person chooses to update their location. (I imagine this can be used by the application for matchmaking purposes. We have perhaps maybe not confirmed this theory.)

But, i actually do think this industry could possibly be concealed through the reaction.

Findings on The League

Client-side created verification tokens

The League does something pretty unusual inside their login flow:

The UUID that becomes the bearer is totally client-side generated. Even even even Worse, the host will not validate that the bearer value is a real legitimate UUID. It might cause collisions as well as other issues.

I would suggest changing the login model and so the bearer token is created server-side and provided for the client when the host gets the perfect OTP through the customer.

Contact number drip via an unauthenticated API

Into the League there is certainly an unauthenticated api that accepts a contact quantity as question parameter. The API leakages information in HTTP reaction code. Once the contact number is registered, it comes back 200 okay , nevertheless when the quantity is certainly not registered, it comes back 418 I’m a teapot . Maybe it’s mistreated in several methods, e.g. mapping all the true figures under a place rule to see that is regarding the League and that is perhaps perhaps perhaps not. Or it could result in embarrassment that is potential your coworker realizes you’re in the software.

It has because been fixed once the bug ended up being reported to your vendor. Now the API merely returns 200 for many needs.

LinkedIn job details

The League integrates with LinkedIn showing a user’s manager and task name on the profile. Often it goes a bit overboard collecting information. The profile API comes back job that is detailed information scraped from LinkedIn, such as the begin 12 months, end 12 months, etc.

Whilst the application does ask individual authorization to learn LinkedIn profile, the consumer asian wife most likely will not expect the detailed place information to be a part of their profile for everybody else to look at. I really do perhaps not genuinely believe that type or types of info is needed for the application to work, and it will oftimes be excluded from profile information.

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