Forter - Global AI Traffic
Fraud & Abuse
Live Data
Our network blocked $67M in attempted fraud this period, identifying a 12% rise in sophisticated ATO patterns.
Large New Fraud Ring Detected on Our Network
Instant-fulfillment verticals, particularly gift cards, crypto, and digital goods, absorb the highest fraud ring pressure, with weekday spikes emerging as a clear pattern.
Fraud ring traffic remains highly structured, with automated activity peaking during standard weekdays and tapering off over weekends as legitimate consumer traffic climbs. Instant-fulfillment sectors, led by gift cards, cryptocurrency transactions, and digital media, draw the heaviest concentration of organized ring activity. This targeting is driven entirely by the rapid settlement speed and inherent anonymity of digital delivery methods, allowing bad actors to monetize compromised credentials almost instantly before detection occurs.
Categories Affected:
- Apparel, Accessories & Beauty
- Digital Goods / Internet
- Electronic Goods
- Food & Beverage
- Retail Distribution (Incl. Home & Garden)
- Travel
Flow of Attacks: Top 5 Source to Target
USA is the dominant source of fraudulent traffic, primarily targeting US payment methods.
From IP Country
- United States: 41.97%
- Brazil: 8.75%
- Japan: 3.78%
- Mexico: 3.09%
- Canada: 2.62%
To PM Country
- United States: 47.95%
- Other: 36.63%
- Brazil: 8.74%
- Japan: 3.66%
- Mexico: 3.01%
Fraud Distribution vs. Traffic Share by Connection Type
The Vast Majority of Blocked Fraud Is Concentrated in Non-Residential Connection Types.
- Traffic Share % vs. Fraud Share %
- Residential: 52.48%
- Mobile: 37.5%
- Hosting: 3.61%
- Corporate: 3.37%
- Proxy Suspicious: 3.04%
Fraud Distribution vs. Traffic Share by Device Type
Desktop sessions carry a disproportionate share of detected fraud relative to their actual volume of web traffic.
- Traffic Share % vs. Fraud Share %
- Mobile: 72.02%
- Other: 17%
- Desktop: 10.98%
Attack Method Distribution
Stolen Credit Card attempts remain the dominant threat vector, alongside a broader upward trend in secondary attack methods across the network.
- Attack Types
- Account Take Over
- Stolen Credit Cards
- Friendly Fraud
- Policy Abuse
- Other
Fraud pressure per vertical
The Digital Goods and Financial Services sectors absorb the largest share of overall fraud pressure across the network.
- Verticals Affected:
- Digital Goods / Internet
- Others
- Electronic Goods
- Travel
- Apparel, Accessories & Beauty
- Retail Distribution (Incl. Home & Garden)
- Food & Beverage