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11/07/2026 2:01 pm
TL;DR: Peak Spring Festival travel and ecommerce activity creates ideal cover for industrialised fraud, with fraudsters 80 percent more likely to buy a last-minute ticket than good customers, according to Riskified. Static rules struggle when seasonal context, proxy use, and AI-assisted deception reshape normal buying patterns. Context-aware decisioning is now the decisive control.
NHIMG editorial — based on content published by Riskified: Spring Festival fraud risk, travel bookings, and AI-driven deception
Questions worth separating out
Q: How should ecommerce teams handle fraud risk during seasonal traffic spikes?
A: They should shift from static thresholds to context-aware decisioning.
Q: Why do proxy use and last-minute bookings not always indicate fraud?
A: Because they can be legitimate in travel-heavy periods, especially when customers are booking from abroad or making urgent cross-border purchases.
Q: What do fraud teams get wrong about AI-generated attacks?
A: They often focus on whether the content looks convincing instead of whether the customer journey makes sense.
Practitioner guidance
- Calibrate decision thresholds for seasonal travel patterns Adjust fraud rules to account for known Spring Festival shifts such as last-minute international bookings, proxy usage, and cross-border shopping so legitimate activity is not automatically rejected.
- Link loyalty, payment, and booking signals Correlate frequent flyer activity, payment provenance, device reputation, and booking velocity so mileage theft and triangulation schemes cannot move through separately trusted systems.
- Strengthen identity verification for high-risk journeys Use step-up checks where account age, destination, ticket value, or account recovery history do not fit normal customer behaviour.
What's in the full article
Riskified's full analysis covers the operational detail this post intentionally leaves for the source:
- Examples of how transaction context changes fraud decisions during peak travel and ecommerce periods
- Details on the fraud patterns Riskified associates with last-minute bookings and cross-border demand
- The article's broader explanation of how AI is amplifying scam quality and fraud scale
- Vendor framing around AI-powered decisioning and merchant revenue protection
👉 Read Riskified's analysis of Spring Festival fraud patterns in travel and ecommerce →
Spring Festival shopping fraud: what ecommerce teams need now?
Explore further
11/07/2026 2:10 pm
Context-aware fraud decisioning is now an identity problem, not just a payments problem. Seasonal shopping spikes make static thresholds brittle because they cannot distinguish legitimate high-intent behaviour from fraud shaped by timing, geography, and travel context. When a proxy, a last-minute ticket, or a cross-border purchase can be either normal or malicious, identity and verification signals become central to fraud governance. Practitioners should treat context as part of the trust policy, not as an after-the-fact review note.
A question worth separating out:
Q: How can merchants reduce fraud without blocking good customers?
A: Use layered controls that reserve strict checks for combinations of risk, not single signals. Combine seasonal baselines, account age, loyalty behaviour, payment provenance, and fulfilment patterns. That approach protects revenue while avoiding the conversion losses that come from blunt, over-restrictive rules.
👉 Read our full editorial: Spring Festival fraud risk is rising faster than static controls
