Is 迷惑メッセージ・電話ブロック Legit & Safe?
With 4.4 stars across 48,796 ratings, 迷惑メッセージ・電話ブロック is an established app on the App Store. The 1-3 star reviews below show the specific issues some users hit, not red flags about the app itself.
Based on public App Store data and user reviews. Not affiliated with KDDI CORPORATION.
What users complain about in 迷惑メッセージ・電話ブロック
Users frequently report that the app fails to block calls effectively, especially international and KDDI-related calls. Many complain about poor interface design, particularly long app names obscuring caller information in call logs. Subscription issues are also common, with users frustrated by unclear pricing and sudden transitions from free to paid service.
Summarized from 205 recent 1-3 star reviews.
迷惑メッセージ・電話ブロック: frequently asked questions
Is 迷惑メッセージ・電話ブロック legit?
迷惑メッセージ・電話ブロック is a legitimate app listed on the App Store with a 4.4 star rating from 48,796 ratings. "Legit" and "good for you" are different questions: the 1-3 star reviews below show where real users run into trouble.
Is 迷惑メッセージ・電話ブロック safe to download?
迷惑メッセージ・電話ブロック is distributed through the official App Store, which screens apps before listing. The main safety questions for most users are around subscriptions, data permissions, and billing. The negative reviews below surface those concerns when users report them.
Is 迷惑メッセージ・電話ブロック a scam?
迷惑メッセージ・電話ブロック is a real, store-listed app rather than a scam link. As with any app, scan the negative reviews below for billing or subscription complaints so there are no surprises after install.
Why does 迷惑メッセージ・電話ブロック have negative reviews?
Even well-rated apps collect 1-3 star reviews when users hit specific friction: crashes, paywalls, account issues, or missing features. The reviews below group these complaints so you can judge whether they affect your use case.
Should I download 迷惑メッセージ・電話ブロック?
For most users, 迷惑メッセージ・電話ブロック is a safe choice given its 4.4 star rating. Skim the negative reviews below to check the edge cases (regional limits, payment methods) that the high average hides.