🧠 Brainrut: AR Filter & Fun Call Bring viral brainrut characters into your w…
TSAComSerious warnings 2 confirmed warnings. Checked: 229 reviews, the Android app’s code and the store listing.
From our automated analysis, 27 Oct 2026. Every label links to its evidence in the full report below.
This analysis describes version 2.5 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-27 .
The store currently lists version 2.5, updated 2025-12-15.
Store screenshots supplied by the developer.
🧠 Brainrut: AR Filter & Fun Call
Bring viral brainrut characters into your world with AR!
See iconic memes come alive in your room, then prank your friends with fake calls and chats!
🔥 Features:
📸 AR Filters with Viral Characters – Summon famous meme icons into real life using your camera.
📞 Fake Prank Calls – Call your friends as chaotic, trending characters.
💬 Funny Fake Chats – Craft wild convos with meme legends.
🕺 Dancing in AR – Watch brainrut stars dance in your space!
Perfect for pranksters, meme lords, and anyone whose brain is already half-melted.
Download Brainrut now and let the chaos invade your reality. 📲💥
From the developer’s store description.
For developers and the curious
The evidence, sources, measurements and versions behind every label above.
Findings that met the published evidence standard.
Bundles 16 distinct ad networks / mediation SDKs: Amazon Publisher Services, AppLovin MAX, BidMachine, Chartboost and 12 more
The package embeds several distinct advertising or mediation SDKs — a stack built for ad volume, not for a single house ad.
Package artefact
Appworthy
sha256:830649cea98f7566f0c55ae7b4dceb681a8f407c5b988d3d53375bc5cf2c199cAggressive ad load: raised by 10 distinct reviewers (about 1 in 23 reviews we read)
Advertising volume or placement that interrupts normal use: ads between every action, unskippable or forced full-screen ads.
Specific evidence of a useful property, within the stated scope.
The developer's store data-safety disclosure states that data deletion can be requested; we have not seen a deletion control in the app's own text
The developer's data-safety disclosure on the store states that users can request deletion of their data, or the app's own text offers a way to delete the account. This restates what the developer declares; it is not a test of whether deletion works. Apple publishes no equivalent disclosure, so on an Apple-only listing only the app's own text can support it.
Open observations that have not cleared the evidence bar.
The app's own text says: "Thanks for your interest. We will share more once you're back online."
This observation has not cleared the required evidence standard.
The app's own copy describes working without a connection — offline mode, downloading for offline use, or content saved for later. Shown because readers filter on it; it is a feature, not a fairness property, and never counts for or against an app.
Package artefact
sha256:830649cea98f7566f0c55ae7b4dceb681a8f407c5b988d3d53375bc5cf2c199c229 reviews read for this analysis. Each observation keeps the sample and store it was based on.
Its fake so many ads I hate ads I thought it was offline and it's not offline and why is smurf cat there?????
theres to much adds and everything on the screen so you can't see anything 😔
DONT PLAY THIS GAME 1 THERES TO MANY ADS 2 THE PUT THE ADS ON THE SCREEN MAKING IT UNPLAYABLE 3 YOU CANT MAKE YOUR ON TEXTS 4 THIS GAME WASTES YOUR TIME 5 THIS GAME NEEDS YOU TO CONNECT TO THE WI-FI JUST TO GIVE YOU ADS NOT FOR IMPORTANT…
A sampled review illustrates one person’s experience. It does not establish a finding on its own.
“Not assessed” means we could not measure it. It is never a zero and never a pass.
Android package 2.5, scanned 27 Oct 2026. These describe that package, not the current store version.
Supporting measurements: not a complete list of possible harms or positives. Measurement vocabulary 1.4 · how these are measured
This analysis describes version 2.5 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-27 .
The store currently lists version 2.5, updated 2025-12-15.
Each store’s release notes, as the developer wrote them. They are the developer’s words, not ours.
No release notes were provided for this version.
brainrutAssessed 2026-10-27 from 229 user reviews, the app's package and the store listing.
What the stores publish. Store ratings are the stores’ numbers, not Appworthy’s, and are never averaged across stores.
No itemized purchase list is available for this listing.
This assessment is produced automatically. Five independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text, the app manifest and the store listing — and each candidate finding is filed under the sources that support it.
No charge stands on one kind of evidence — with one published exception. A finding is either a measured fact that anyone can reproduce (an ad SDK is in the package; every subscription bills weekly; the privacy label omits a tracker we can see), or it is an interpretation — and an interpretation needs independent sources to agree before it reaches the catch list. The exception is a harm only users can see: a charge may publish from reviews alone, as “Reported by N users”, once enough reviewers raise it to clear that charge’s own published bar. That agreement rule is what replaced the human reviewer, not a model’s confidence.
There is no overall score, on purpose. A 0–99 number was published here until 2026-09-15. It was withdrawn because it discriminated too weakly to be the instrument — 44.7% of every pair of apps tied — and because a single number is a verdict where a count is an observation. What publishes instead is a row of measurements, each of which says what was counted and, where we could not look, says that instead.
Findings under One source only are real reports we do not stand behind as findings. They are shown because withholding them entirely would hide a genuine complaint, and labelled because publishing them as charges would be an accusation off a single source.
Write to [email protected], or use the form. Name the finding, the app version and the evidence that needs correcting. Factual corrections are free and never depend on buying anything.