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Product Brief

A sharing economy leader with 150 million users across 200+ countries, this company operates a high-volume marketplace where platform integrity is paramount.

Sharing Economy Giant Eliminates ≈$300K in Daily SMS Toll Fraud — Case Study

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Case Study

Sharing Economy Giant Eliminates ≈$300K in Daily SMS Toll Fraud

A sharing economy leader with 150 million users across 200+ countries, this company operates a high-volume marketplace where platform integrity is paramount.

≈$300K

eliminated daily in SMS toll fraud

≈$100M

potential annual savings

724

unique abusive devices identified
  • Low-and-Slow SMS Abuse: Sophisticated fraudsters exploited SMS workflows by triggering one-time passwords (OTPs) to premium-rate numbers to collect payouts from colluding carriers. Global SMS Toll Fraud was measured at $300K during just one 12 hour period where Arkose Titan was not engaged.
  • Human-Driven Threats: Attacks primarily originated from humans or human fraud farms—rather than bots—making them notoriously difficult for standard technology to detect.
  • Inadequate Legacy Systems: The company’s internal device identification and previous vendor solutions failed to surface the “low-volume” fraud blending with legitimate traffic.
  • Deterministic Risk Signals: Leveraged the unified Arkose Titan Platform to gather reliable risk data, providing full visibility into suspicious device behavior.
  • Arkose Device ID Integration: Implemented Arkose Device ID into the SMS flow to provide deterministic signals and rich device identification data whenever a user requests an OTP.
  • Multi-Layered Platform Approach: Leveraged Arkose Titan which includes both Arkose Device ID and Arkose Bot Manager to create a unified defense against both automated volumetric attacks and human-initiated fraud.
  • Contextualized Data Intelligence: Delivered detailed data directly to the customer's internal teams, allowing them to distinguish between recognized devices and high-risk activity.
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Empowered the company to take targeted action against fraud without disrupting the experience for its 150 million genuine users.
  • Massive Savings: By blocking an estimated $300,000 in SMS toll fraud daily, annual savings could approach $100 million.
  • Detection of Human Fraud Farms: Uncovered specific high-volume patterns including one device requesting 140 OTPs in a single hour, suggesting organized fraud farm activity.
  • Global Threat Visibility: Pinpointed 724 unique abusive devices operating from known SMS toll fraud hotspots, including Egypt, Singapore and Pakistan.
  • Data-Driven Control: Empowered the company to take targeted action against fraud without disrupting the experience for its 150 million genuine users.

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