Tapper
AlertsPricing
Mobile app
SDK spoofing

Stop SDK spoofing on mobile app campaigns

SDK spoofing is the dominant invalid mobile traffic technique, generating fake installs that are invisible to standard MMP detection and stealing CPI budget at scale.

Trusted by leading brands worldwide

Tiffany & Co.
Adidas
Azadea
Punt Roma
Salsa Jeans
Sunglass Hut
Decathlon
Honda
Lexus
Mercedes-Benz
TOD
Toyota
Volvo
STC
Porsche
Almosafer
Infiniti
LEGOLAND
Cleveland Clinic
Nissan
Boggi Milano
Kiko Milano
Hyundai
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Aape
Kiabi
Maje Paris
Sandro
Ted Baker
ACE
Tawuniya
TOEFL
Regit
You.gr
Spitishop

SDK spoofing is the most technically advanced and most damaging invalid mobile traffic technique

SDK spoofing accounts for 40% of all invalid mobile traffic and represents the technique most likely to bypass standard MMP invalid traffic removal. Bad actors reverse-engineer the SDKs used by mobile measurement partners, including AppsFlyer, Adjust, Kochava, Singular, and Branch, and simulate the exact device-level signals that a legitimate install and app session would produce. No real device is involved, no real user downloads the app, but your MMP receives what appears to be a valid install event complete with device ID, session data, and location. The CPI is paid, the install is counted, and the spoofing is invisible to standard detection.

What makes SDK spoofing so damaging is the scale at which it operates. Because no real hardware is required, a single spoofing server can simulate thousands of installs per hour across multiple ad networks and campaigns simultaneously. UA managers see install volumes that appear healthy, CPI figures that look acceptable, and attribution data that seems coherent. The spoofing only becomes apparent when post-install engagement is examined and the cohort shows zero retention, zero revenue, and zero real user behavior. By then, significant budget has been spent. Tapper achieves a 90% SDK spoofing detection rate by analyzing the full session lifecycle rather than relying on device signals that can be replicated.

How Tapper stops sdk spoofing on Mobile

Three steps from connection to clean data, no engineering required.

01

Connect Tapper to your MMP

Tapper integrates with AppsFlyer, Adjust, Kochava, Singular, Branch, and other MMPs to monitor the full signal chain for every install event across all UA campaigns.

02

Session lifecycle analyzed for spoofing signatures

Rather than relying on device signals alone, Tapper examines the behavioral pattern of the full session: timing, event sequence, interaction variation, and session depth, to identify the signatures of spoofed installs that pass device-level checks.

03

Spoofed installs excluded before CPI is counted

Detected spoofed installs are excluded from attribution before your CPI model calculates payouts. Your install counts reflect real users and your MMP data is protected from contamination.

SDK spoofing by the numbers

Data from Tapper's platform analysis and published industry research.

40%

Of invalid mobile traffic uses SDK spoofing

90%

SDK spoofing detection rate by Tapper

$10B

Lost to invalid mobile traffic globally in 2023

28%

Of mobile installs are invalid on average

Tapper vs MMP built-in invalid traffic removal

Capability
Tapper
MMP built-in invalid traffic removal

SDK spoofing detection

Tapper

Full session lifecycle behavioral analysis

MMP built-in invalid traffic removal

Device signal matching only

Detection rate

Tapper

90% SDK spoofing detection rate

MMP built-in invalid traffic removal

Catches only device-level anomalies

Zero-device spoofing coverage

Tapper

Identifies installs with no real device

MMP built-in invalid traffic removal

Cannot detect spoofing without device anomaly

CPI protection

Tapper

Spoofed installs excluded before payout

MMP built-in invalid traffic removal

Spoofed installs trigger CPI payments

Case studies

Leading brands growing with Tapper

See how companies are protecting their ad budgets and improving ROI with Tapper.

Frequently asked questions

MMPs use the same SDK signals to verify installs that bad actors reverse-engineer to fake them. When the spoofed signals are accurate replications of real SDK output, a verification system based on those signals has no mechanism to distinguish real from fake. Tapper analyzes the behavioral and temporal patterns of the full session, which bad actors cannot replicate with the same fidelity.

Tapper combines device-level signal analysis with full session lifecycle behavioral scoring. Spoofed sessions, while accurate at the device signal level, lack the natural variation in interaction timing, event sequencing, and session depth that real user sessions exhibit. Tapper models these behavioral patterns and flags sessions that match spoofing signatures, even when device signals appear legitimate.

All major MMPs are vulnerable because SDK spoofing targets the attribution signal layer rather than any specific platform. AppsFlyer, Adjust, Kochava, Singular, and Branch have all published research on SDK spoofing targeting their SDKs. Tapper sits alongside your existing MMP integration and adds the behavioral analysis layer that none of them provide natively.

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