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Pixalate’s April 2024 Mobile App Spoofing Report For Apple App Store and Google Play Store: Solitaire Verse, 2048, Calculator Among Most at Risk

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Pixalate’s data science team analyzed over 11.9M + mobile apps (including delisted apps) across the Google Play Store and Apple App Store and 31.6B + global open programmatic advertising impressions in April 2024 to compile this research

Top Apple App Store mobile apps at risk of spoofing in April 2024

According to Pixalate research
According to Pixalate research

Top Google Play Store mobile apps at risk of spoofing in April 2024

According to Pixalate research
According to Pixalate research

LONDON, May 17, 2024 – Pixalate, the market-leading fraud protection, privacy, and compliance analytics platform for Connected TV (CTV) and Mobile Advertising, today released the April 2024 Mobile App Spoofing Reports: Apple App Store and Google Play Store.

The reports reveal which mobile apps are most at risk of app spoofing. Malicious actors can use invalid traffic (IVT) techniques, such as app spoofing, to disguise the mobile app traffic source. The report ranks the apps most at risk of spoofing by geographic region, including North America, Asia-Pacific (APAC), Europe, the Middle East and Africa (EMEA), and Latin America (LATAM), as measured by Pixalate.
Pixalate’s data science team analyzed over 31.6 billion global open programmatic advertising impressions from over 11.9 million mobile apps (including delisted apps) across the Apple App Store and Google Play Store in April 2024 to compile this research.

Top Apple App Store mobile apps at risk of spoofing in April 2024 

Top Google Play Store mobile apps at risk of spoofing in April 2024

Download each report to see more mobile apps at risk of spoofing in April 2024, as measured by Pixalate:

Pixalate’s CTV App Spoofing Reports:

Methodology
For background information, methodology and definitions related to Mobile App Spoofing, please visit our inaugural Mobile App Spoofing Report and view the FAQs there.

To compile this research, Pixalate’s data science team took the following steps:

  1. Identify “Highly Impacted” mobile apps: On Google Play Store and Apple App Store within each of the global regions, Pixalate first identified apps with the highest rate of spoofed traffic (e.g. the percentage of all traffic purporting to come from an app that does not actually come from an app). In the context of this research, “Highly Impacted” apps are apps that have an app spoofing rate greater than 90% of other apps on a given platform within a given region (or 5%, whichever is lower) and pass an impression volume threshold.
  1. The “Highly Impacted” apps are then ranked by volume of spoofed impressions.

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