Credit cards are vulnerable to brute force kind attacks

Credit and debit cards remain surprisingly vulnerable to brute‑force style attacks and data leaks, especially when merchants don’t enforce stronger mechanisms like 3‑D Secure or tokenized payments. Commenters describe how attackers test card numbers across multiple services, exploit weak fraud controls, and even continue charging after cards are re‑issued via automatic “account updater” and digital wallet links. Much of the debate centers on how liability is distributed between banks, merchants, and consumers, and whether tools like virtual cards, mandatory strong authentication, or tougher regulation are needed to meaningfully reduce fraud without adding excessive friction to everyday payments.

Perceived Vulnerabilities of Credit Cards

  • Card numbers + short CVV are seen as an outdated, weak security model, essentially acting like reusable passwords.
  • Attackers can brute-force or enumerate details (card number, expiry, CVV) via multiple merchants and weak anti-automation.
  • Some report compromises where the card was never “exposed” in normal use, suggesting pure guessing or systemic leakage.

Mitigations: Separate, Virtual, and Dynamic Cards

  • Many advocate a separate/low-balance card for online use, or virtual cards per-merchant/transaction with limits.
  • Services and banks offering disposable/virtual cards (including those with dynamic CVVs) are praised but described as niche or underused.
  • Some note these features have existed for years but didn’t “take off” because it’s cheaper for issuers to eat fraud.

Credit vs Debit: Fraud, Liability, and Lived Experience

  • One camp: credit cards are safer because your own money isn’t immediately taken; disputes feel less stressful.
  • Counter-camp: debit fraud protections (in some jurisdictions) are legally strong and often functionally equivalent in practice.
  • Several report months-long battles and partial/non-refunds on debit fraud; others say their banks or credit unions handled it instantly.
  • Strong disagreement on whether credit cards’ main downside—debt traps—is worth the upside; some see them as inherently predatory, others as universally beneficial if paid in full.

Brute Forcing, Fraud Detection, and Rate Limiting

  • Payment processors claim to detect “card testing” with ML and strict monitoring; others note attackers slow down and distribute attempts to evade detection.
  • Commenters stress rate limiting, anomaly detection, and IP blocking as key defenses, but say much of fraud prevention is still reactive.

3D Secure, Regional Differences, and Regulation

  • Outside the US, 3D Secure (often mandated by regulation like PSD2) is common and significantly reduces many attack vectors.
  • In the US, 3DS is rare; reasons cited: added friction, fragmented banking system, and misaligned incentives between issuers and merchants.
  • Some argue US law already strongly protects cardholders, leading banks to invest in backend monitoring instead of more user-facing friction.
  • Others highlight coordination problems: any single bank or merchant enabling stricter flows loses conversions to those who don’t.

Digital Wallets, Tokens, and Automatic Updaters

  • “Digital wallets” and card account updaters can silently keep recurring charges alive across card reissues, including potentially fraudulent ones.
  • One user discovered dozens of active “wallets/tokens” tied to a card; canceling them required a phone call and manual intervention.
  • Network tokens and automatic billing updaters are seen as double-edged: great for frictionless subscriptions, but can perpetuate stolen credentials.

Chargebacks, Liability, and Who Pays

  • At a surface level, consumers in many cases get made whole quickly; several people report near-instant reversals.
  • Others describe chargebacks being reversed after merchant disputes, banks siding with large platforms, and even account closures.
  • Discussion emphasizes that merchants often ultimately pay for fraud through chargebacks and fees, while banks recoup fraud costs via higher prices and interchange.
  • Some note that fraud costs are socialized into overall pricing; consumers “pay” for fraud indirectly even when individually protected.

System Design and Cryptography Critiques

  • Multiple commenters complain that the system relies on static PANs instead of per-transaction cryptographic keys or signatures.
  • EMV, 3DS, tokenization, and dynamic CVVs are viewed as partial fixes; commenters wonder why public-key–style models aren’t standard given modern tech.
  • Some argue that, economically, the current system “works well enough” for banks, so there’s insufficient incentive to overhaul it.