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Pixalate’s Q4 2025 Report Finds 69% of CTV Bundle IDs Were Malformed, Unidentified, &/or Fraudulent on Apple TV, LG (85%), Samsung Smart TV (56%), Roku (20%), & Amazon Fire TV (52%)

Mar 27, 2026 9:00:00 AM

LONDON, March 27, 2026 – Pixalate, the leading ad fraud protection, privacy, and compliance analytics platform, today released the Q4 2025 Connected TV (CTV) Malformed and Fraudulent Bundle IDs Risk Reports for the Amazon Fire TV, Roku, Apple TV, and Samsung Smart TV CTV apps.

The series of reports provides a detailed analysis of the global status of non-standard and malformed CTV Bundle IDs in the open programmatic advertising supply chain as of Q4 2025. A "malformed" Bundle ID refers to an app identifier used in the ad bid that is either uncorrelated or unmapped to any known app, according to Pixalate’s Bundle ID mapping technology. These "malformed" Bundle IDs can disrupt ad targeting and campaign measurement while paving the way for ad fraud.

Key Findings:

Roku

  • 20% of measured Bundle IDs were malformed, unidentified, and/or fraudulent (900 out of 4,400)
    • 60% of Bundle IDs across Roku traffic used actual App Store IDs, which is the recommended method for app identification according to the IAB Tech Lab

Amazon Fire TV

  • 52% of measured Bundle IDs were malformed, unidentified, and/or fraudulent (2,100 out of 4,100)
    • 39% of Bundle IDs across Amazon Fire TV traffic used actual App Store IDs, which is the recommended method for app identification according to the IAB Tech Lab

Apple TV

  • 69% of measured Bundle IDs were malformed, unidentified, and/or fraudulent (1,600 out of 2,369)
    • 26% of Bundle IDs across Apple TV traffic used actual App Store IDs, which is the recommended method for app identification according to the IAB Tech Lab

Samsung Smart TV

  • 56% of measured Bundle IDs were malformed, unidentified, and/or fraudulent (900 out of 1,600)
    • 26% of Bundle IDs across Samsung Smart TV traffic used actual App Store IDs, which is the recommended method for app identification according to the IAB Tech Lab

 

LG Smart TV

  • 85% of measured Bundle IDs were malformed, unidentified, and/or fraudulent (1,500 out of 1,800)
    • 9% of Bundle IDs across LG Smart TV traffic used actual App Store IDs, which is the recommended method for app identification according to the IAB Tech Lab

Top Malformed, Unidentified &/or Fraudulent Bundle IDs (Q4 2025)

(by impression volume), as determined by Pixalate

Roku Bundle IDs

Rank (By Impression SOV)

Malformed/Unidentified Bundle ID

1

paramountstreaming

2

tv_scientific

3

onefox

4

wbd_fast

5

scripps

6

711074

7

b0ftz7y2yj

8

b0ftsfcylh

9

b0fgdrbhl6

10

animalplanethq.com

 

LG Smart TV Bundle IDs

Rank (By Impression SOV)

Malformed/Unidentified Bundle ID

1

paramountstreaming

2

4932

3

com.foxsports.chromecast

4

228642

5

tv_scientific

6

com.doapps.android.mln.mln_18f5510dffbc3d27e96d0e8c148d8b76

7

onefox

8

tv.vidaa.ui.apps.pluto

9

com.doapps.android.mln.mln_981702ce3a0e9570534d428b551d6f9e

10

com.mobdub.channel.kris

 

Samsung Smart TV Bundle IDs

Rank (By Impression SOV)

Malformed/Unidentified Bundle ID

1

paramountstreaming

2

9n1sv6841f0b

3

g3201512006963

4

onefox

5

tv_scientific

6

scripps

7

4932

8

app2.tv

9

com.mobilityware.crownsolitaire

10

com.mobdub.channel.kris

 

Apple TV Bundle IDs

Rank (By Impression SOV)

Malformed/Unidentified Bundle ID

1

paramountstreaming

2

tv_scientific

3

onefox

4

scripps

5

tv.twitch.ctv

6

20006184

7

wbd_fast

8

g15055001404/

9

[replace_me]

10

811910

 

Amazon TV Bundle IDs

Rank (By Impression SOV)

Malformed/Unidentified Bundle ID

1

paramountstreaming

2

tv_scientific

3

com.mobdub.channel.kris

4

onefox

5

com.doapps.android.mln.mln_3a09786d2f3523ddddb763ddd4b1fea9

6

com.nuvyyo.tablofast

7

paramountstreaming

8

b0c3748n8k

9

app2.tv

10

tv_scientific

 

For this report, Pixalate’s data science team analyzed 2 billion open programmatic CTV impressions in December 2025.

 

Download the complete reports:

Samsung Smart TV     Amazon Fire TV     LG Smart TV

Apple TV     Roku

About Pixalate

Pixalate is a global market-leading ad fraud protection, privacy, and compliance analytics platform. Pixalate works 24/7 to guard your reputation and grow your media value by offering the only system of coordinated solutions across display, app, video, and CTV for the detection and elimination of ad fraud. Pixalate is an MRC-accredited service for the detection and filtration of sophisticated invalid traffic (SIVT) across desktop and mobile web, mobile in-app, and CTV advertising. www.pixalate.com

Disclaimer

The content of this press release, and the Malformed Bundle IDs Reports (the “Report”), reflect Pixalate's opinions with respect to factors that Pixalate believes can be useful to the digital media industry. Pixalate's opinions are just that, opinions, which means that they are neither facts nor guarantees. Pixalate is sharing this data not to impugn the standing or reputation of any entity, person or app, but, instead, to report findings and trends pertaining to programmatic advertising activity across CTV in the time period studied. 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. Among the reasons why ad traffic may be deemed invalid is it is a result of non-human traffic (spiders, bots, etc.), or activity designed to produce fraudulent traffic.”.

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