Render cardholder data unreadable
Description
Stored cardholder data must be rendered unreadable (encryption, hashing, truncation).
⚠️ Risk Impact
Readable cardholder data stolen in a breach leads to fraud and regulatory penalties.
🔧 Remediation
Encrypt all stored cardholder data. EchelonGraph verifies encryption on databases and storage.
💀 Real-World Attack Scenario
An e-commerce company stored full PANs in a PostgreSQL database without encryption. A SQL injection vulnerability allowed an attacker to dump the entire cardholder data table — 1.2M unencrypted card numbers with expiry dates and CVVs. The card numbers were immediately usable for fraud.
💰 Cost of Non-Compliance
Storing readable PANs = immediate PCI DSS non-compliance. Card brand fines: $50K-$500K. Fraud liability: merchant assumes all fraudulent charges. Average cost: $3.8M. Potential loss of payment processing privileges.
📋 Audit Questions
- 1.Where is cardholder data stored?
- 2.What methods render cardholder data unreadable?
- 3.Are encryption keys separate from the data they protect?
- 4.Is full PAN ever logged or stored in plaintext?
🎯 MITRE ATT&CK Mapping
⚡ Common Pitfalls
- ⛔Encrypting the database but logging full PANs in application logs
- ⛔Using reversible encryption without proper key management
- ⛔Full PANs stored in backup files, exports, or error logs
📈 Business Value
Cardholder data encryption eliminates the most damaging outcome of a payment system breach — direct financial fraud. It's the difference between a security incident and a catastrophic data breach.
⏱️ Effort Estimate
8-16 hours to audit all cardholder data storage locations
EchelonGraph verifies encryption on all databases and storage
🔗 Cross-Framework References
Automate PCI DSS 3.4 compliance
EchelonGraph continuously monitors this control across all your cloud accounts.
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