- Rookie fraudsters make approximately $20,000 a month, as ‘Cyber Kingpin’ wages reach more than $600,000 a month
- Number of active fraudsters has increased tenfold since 2019
- Nearly 33% of cybercrime losses come from online consumer account-based fraud attacks
- Fintech, gaming, technology, and ecommerce companies are hyper-targeted industries where fraudsters have the potential to earn the most money
- Top targeted companies can see up to 35% of traffic coming from human fraudsters
- Profit-Driven Attacks Threaten Trust and Account Security: The high monetization potential of account compromises and fake accounts makes phishing and credential stuffing the attack patterns to watch. Automated account takeovers (ATOs) were 30% higher in Q1 compared to the two years prior. Insights from the Arkose Labs Global Network™ show that 1 in 4 accounts created in the first quarter of 2022 were fake, leading to promotion and free trial abuse.
- Bots are Intelligent & Efficient: The first quarter saw consistently higher bot-driven attacks than the average across all of 2021, driven by large-scale scraping and credential stuffing attempts. Scraping attacks increased by 60% in Q1, while 4% of all traffic was a credential stuffing attempt. Bot attacks have three times more complex attack signatures today than in years prior, creating greater detection complexity for businesses.
- Low-and-Slow Human-led Attacks Prevail: Many bot threats are being augmented with human-led efforts. These attacks are far more persistent and targeted, and go to greater lengths to attempt to stay under the radar.
- Industry-Specific Attacks on the Rise: While every industry saw massive attacks, each industry was targeted in different ways and by varying attack patterns.
- Fintechs saw 2.5 times more attacks in the first quarter compared to the two years prior. And 75% of attacks aimed at fintech companies were zeroed in on consumer logins.
- Gaming companies experienced 260% more attacks, including a 85% increase in fake account registrations, compared to Q4 2021.
- Technology companies were most impacted by fake accounts, attempting to monetize promotions and free trials.
- eCommerce/retail companies saw 30% more attacks in Q1 than two years prior and experienced a 65% increase in fake accounts over Q4 2021, primarily targeting coupon abuse. Account takeover attempts equal 80% of attacks aimed at eCommerce/retail companies..
- Travel companies experienced an upsurge in scraping attacks aimed at obtaining inventory information, indicating corporate espionage in this sector is expanding.
- Fraud in the Metaverse: Attacks on metaverse companies increased 40% since Q4 2021. Unlike automated bot attacks, fraudsters put greater investment into metaverse attacks, requiring more human capital to execute phishing, spam, and scams effectively. Targeted human-led attacks, which require a higher level of sophistication, make up nearly all attacks against metaverse companies. Metaverse companies experience 68% more low-and-slow human-led attacks than non-metaverse companies.
- Fraudsters Based in Asia Dominate Cyberattacks: 40% of attacks worldwide came from Asia, compared to 1 in 3 attacks originating in Europe and 1 in 5 attacks originating in North America. Within Asia, attacks from China and India increased 70% compared to Q4 2021. The top 5 attacking countries - US, India, China, Great Britain, Vietnam - contributed to over 60% of all actions in Q1.
| Account-based fraud attacks tracked in the FBI Internet Crime Report | |
| Confidence Fraud/Romance | $956,039,740 |
| Spoofing | $82,169,806 |
| Personal data breach | $517,021,289 |
| Tech support | $347,657,432 |
| Credit card fraud | $172,998,385 |
| Phishing/vishing/smishing/pharming | $44,213,707 |
| Denial of service: | $217,981 |
| Fraud Job Growth Based on Number of Members Active in Dark-Web Communities | |
| Shadowcrew 2014 | 4,000 members |
| Alphabay 2017 | 240,000 members |
| Blackmarket 2019 | 1.15 million members |
| Fraudster Categories Defined | |
| Rookie Fraudster | Individuals with little expertise leveraging the fraud ecosystem to make money fast |
| Uses marketplaces and messaging platforms to purchase bots-as-a-service and execute attacks at scale | |
| Earnings potential: up to $20,000 per month | |
| Master Fraudster | Devise complex, multi-pronged attack strategy, using multiple tools scripted together alongside fraud farm workers |
| Willing to continually invest in resources and development to bypass defenses | |
| Earnings potential: up to $600,000 per month | |



