What’s the catch? Multiple ad networks bundled — measured, backed by SDKs in the app package.
Analyzed automatically from 6 independent signals that had to agree — not a hands-on test, and not human-reviewed.
App Store
This analysis describes version 28.11.2 of the app, analyzed 2026-10-06 . The app may have changed since.
The store currently lists version 28.11.2, updated 2026-10-01.
Google Play
This analysis describes version 28.7.0.0 of the app (the version number recorded inside the package we inspected), analyzed 2026-10-04 . The app may have changed since.
The store currently lists version VARY, updated 2026-09-29.
What the analysis found
The catch list 1
Charges we publish at a strength we stand behind: measured from an artefact, agreed by independent sources, or reported by enough users to clear that charge's own published bar.
Positive evidence 1
Things this app does right, published at the same strengths as the catch list.
One source only — shown, not confirmed 3
A single kind of evidence. We publish these because withholding them would be the bigger distortion, and we do not treat any of them as a finding we stand behind.
What reviewers said
Verbatim excerpts from public store reviews, shown as corroborating user reports. They are not Appworthy audit evidence, and a quotation is not proof of the finding it sits under.
Aggressive ad load
Worst messenger ever, full of AI bloatware, full of adds and useless trash notifications that I don't asked for.
Viber's ads are out of control, they even show me ads while I'm on cellular call. It's just unbelievable.
Too many adds — Every time I get rid of a add I get another one of viber plus which makes it even more frustrating than the original add
Tracking and data collection concerns
Hate Ai, Hate Full screen photos — Since last updates, viber is full with Ai junk. They also have only option to full photo display when attaching. This is very inconvenient and also has privacy issues to show photo on full screen when…
Nothing but scammers — Viber used to be good now because of competition and desperate for money revenues selling consumers data like mobile phone number and email address to Indian scammers overseas. A lots of scam calls and a lot of…
VERY SERIOUS PRIVACY ISSUE! — I sent private photos to my mother only, and I double-checked that I selected the correct person. However, some of the photos were also delivered to two completely different people whom I never sent them to…
What this app sells
How the automated analysis works
This assessment is produced automatically. Six independent signals are read — user reviews, SDKs in the app package, the app's own on-screen text, the app manifest, the store listing and the store privacy disclosure — 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.
Several measurements above say “Not assessed” because no artefact we hold can answer them. A human review is what resolves those — and it can remove a favourable band as easily as add one.
Hands-on inspections are not yet open.