--- title: Pixalate's Malformed and Fraudulent Bundle IDs Risk Report - Samsung Smart TV description: The Malformed and Fraudulent Bundle IDs Risk Report for Samsung Smart TV apps includes a detailed analysis of the global state of non-standard and malformed Bundle IDs. image: https://www.pixalate.com/hubfs/Blog_Media/Blog%20photos/Malformed%20and%20Fraudulent%20CTV%20Bundle%20IDs%20Risk%20Report%20-%20Samsung%20Smart%20TV%20%20landing%20page%20cover.png --- [![pixalate-logo-red-small](https://www.pixalate.com/hs-fs/hubfs/2018NewTemplate/pixalate-logo-red-small.png?width=150&height=46&name=pixalate-logo-red-small.png "pixalate-logo-red-small")](https://www.pixalate.com/?hsLang=en) # Malformed & Fraudulent Bundle ID Risk Report for Samsung Smart TV **Discover Malformed and Fraudulent Bundle ID trends on Samsung Smart TV in Q1 2026. **This report offers insights into a common Connected TV (CTV) advertising challenge: the use of Bundle IDs to identify apps and the difficulties associated with reliably mapping these IDs to actual applications on Samsung Smart TV. ### Download now: By clicking Download and entering your email address, you are agreeing to our [Terms of Use](https://www.pixalate.com/terms?hsLang=en) and have read and acknowledge our [Privacy Policy](https://www.pixalate.com/privacy-policy?hsLang=en). ## More Malformed Bundle IDs: - ... [Amazon Fire TV](https://www.pixalate.com/connected-tv-ctv-malformed-and-fraudulent-bundle-ids-risk-report-for-amazon-fire-tv?hsLang=en) - ... [LG Smart TV](https://www.pixalate.com/pixalates-malformed-and-fraudulent-bundle-ids-risk-report-lg-smart-tv?hsLang=en) - ... [Apple TV](https://www.pixalate.com/connected-tv-ctv-malformed-and-fraudulent-bundle-ids-risk-report-for-apple-tv?hsLang=en) - ... [Roku](https://www.pixalate.com/connected-tv-ctv-malformed-and-fraudulent-bundle-ids-risk-report-for-roku?hsLang=en) Variations in CTV Bundle IDs make it difficult for advertisers, demand-side platforms (DSPs), and other stakeholders in the open programmatic ecosystem to consistently match them to verified apps. These inconsistencies complicate audience targeting, campaign measurement, fraud detection, and ad performance analytics. This report evaluates the **share of advertising impressions associated with accurately mapped versus unmapped or potentially fraudulent CTV Bundle IDs**, offering insight into platform-specific risks. ## **Pixalate's Methodology: Malformed & Fraudulent Bundle IDs** Pixalate’s CTV Bundle ID to App Store ID mapping technology is central to its CTV impression measurement and invalid traffic (IVT) detection. Powered by machine learning, this technology enables Pixalate to identify impressions at the level of individual CTV platforms and channels. For this report, Pixalate’s data science and analyst team analyzed 1.6B open programmatic advertising transactions across 14K Bundle IDs associated with CTV apps on Roku, Amazon Fire TV, Samsung Smart TV, Apple TV, and LG Smart TV traffic in March 2026. The insights in this report are derived exclusively from Pixalate’s proprietary datasets, which primarily reflect open auction, buy-side programmatic traffic. ### **What is a Bundle ID?** A Bundle ID is a string used to identify an app in Connected TV (CTV) or mobile environments. On CTV, it often follows a reverse domain format (e.g., com.sling.cnn.roku) but may not be standardized or unique across platforms. ## **What is an App Store ID (ASID)?** An App Store ID (ASID) is a unique, verifiable identifier assigned to an app by a CTV platform’s official app store (e.g., Roku, Amazon Fire TV). It provides consistent and platform-specific app identification. ## **Additional Bundle ID classifications:** - **Mapped Bundle ID: **A Mapped Bundle ID is a Bundle ID that has been successfully linked to a known App Store ID on the correct CTV platform using Pixalate’s mapping technology. - **Incorrect CTV Platform:** An Incorrect CTV Platform refers to a case where a Bundle ID maps to a valid App Store ID, but for the wrong CTV platform — for example, a Roku app misrepresented as a Samsung app — which may suggest spoofing or fraud. - **Mobile-Only Bundle ID:** A Mobile-Only Bundle ID is a valid identifier for a mobile or tablet app that has no corresponding app in any CTV app store, potentially indicating non-CTV or fraudulent traffic. - **Malformed/Unidentified Bundle ID: **A Malformed/Unidentified Bundle ID is a string that does not follow standard formatting, cannot be mapped to any known app, and often signals invalid, synthetic, or spoofed traffic. ## See also: - … Top 100 [Mobile](https://www.pixalate.com/top-google-play-store-mobile-app-bundle-ids-united-states?hsLang=en) & [CTV](https://www.pixalate.com/top-ctv-bundle-ids-roku?hsLang=en) Bundle IDs - ... [Most Popular CTV vMVPD Apps](https://www.pixalate.com/vmvpd-traffic-analysis-report-roku?hsLang=en) - ... [Most Popular CTV FAST Apps](https://www.pixalate.com/ctv-fast-apps-traffic-analysis-report-samsung-smart-tv?hsLang=en) #### *About Pixalate* *Pixalate is a global platform for privacy compliance, ad fraud prevention, and data intelligence in the digital ad supply chain. Founded in 2012, Pixalate’s platform is trusted by regulators, data researchers, advertisers, publishers, ad tech platforms, and financial analysts across the Connected TV (CTV), mobile app, and website ecosystems. 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Any proprietary data shared is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources should not be construed as endorsements. Pixalate’s opinions are just that - opinion, not facts or guarantees. Per the MRC, “'Fraud' is not intended to represent fraud as defined in various laws, statutes and ordinances or as conventionally used in U.S. Court or other legal proceedings, but rather a custom definition strictly for advertising measurement purposes. Also per the MRC, “‘Invalid Traffic’ is defined generally as traffic that does not meet certain ad serving quality or completeness criteria, or otherwise does not represent legitimate ad traffic that should be included in measurement counts. 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