Your Tech Support Company Runs Scams. Stop—Or Disguise with More Fraud?

Your Tech Support Company Runs Scams. Stop—Or Disguise with More Fraud?

Ars Technica – Law & Disorder (Tech Policy)
Ars Technica – Law & Disorder (Tech Policy)Apr 13, 2026

Companies Mentioned

Why It Matters

The case highlights how sophisticated self‑payment fraud can undermine payment‑processor risk models and prolong consumer scams, prompting tighter industry controls. It also serves as a warning that lax enforcement of internal anti‑fraud policies can expose firms to massive legal and reputational damage.

Key Takeaways

  • Tech Live Connect scammed Americans via fake virus pop‑ups
  • Cotter used virtual debit cards to generate “friendly” charges
  • Scheme lowered chargeback ratio, keeping merchant accounts active
  • Fraud netted >$13 million but cost $140k monthly to sustain

Pulse Analysis

Tech‑support scams have long preyed on vulnerable consumers, exploiting the fear of malware with pop‑up warnings and impersonating major brands. These operations thrive on low‑cost call centers, often overseas, that convince victims to grant remote access and pay for nonexistent fixes. The resulting chargebacks signal fraud to payment processors, who may terminate merchant accounts if ratios climb, creating a constant pressure point for scammers seeking to stay in business.

Cotter’s “pay‑yourself‑first” scheme turned that pressure into a perverse advantage. By purchasing thousands of virtual debit cards and issuing fake invoices to his own company, he flooded the system with legitimate‑looking transactions that diluted the fraud‑related chargebacks. In March 2018 the operation required 27,000 good transactions, costing $140,000 for 3,000 cards, yet the scheme still yielded more than $13 million over four years. The tactic forced processors to reassess risk models, as the artificial volume masked the underlying scam activity and enabled the fraudsters to secure additional merchant accounts.

The federal crackdown culminating in Cotter’s 2026 conviction underscores the growing vigilance of regulators and payment networks. The case illustrates that even elaborate self‑payment tricks eventually trigger detection when patterns of “friendly” charges and inflated transaction volumes emerge. For legitimate merchants, the lesson is clear: robust internal controls and consistent enforcement of anti‑fraud policies are essential, while processors must refine analytics to spot synthetic transaction streams before they enable prolonged consumer exploitation.

Your tech support company runs scams. Stop—or disguise with more fraud?

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