2022 APIsecure_API Abuse - How data breaches now and in the future will use API's as the attack vector
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APIsecure - April 6 & 7, 2022 APIsecure is the world’s first conference dedicated to API threat management; bringing together breakers, defenders, and solutions in API security. API Abuse - How data breaches now and in the future will use API's as the attack vector Sudeep Padiyar, Product Manager at Traceable Tim Davis, Director of Product Management at Chime
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2022 APIsecure_API Abuse - How data breaches now and in the future will use API's as the attack vector
- 1. Data Breaches: How API’s have become the key attack vector Sudeep Padiyar Founding Member, Product Management Traceable AI Tim Davis Director of Risk, Move Money Products Chime
- 2. Agenda ● Latest Data breach Statistics ● Evolution of Fraud with modern apps and API’s ● Data exfiltration protection at the API layer ● Key tenets of API Abuse Prevention ● Product Demo ● Q&A
- 3. Data Breaches Verizon DBIR Statistics Abuse Patterns in Data breaches Data Breach Categories
- 4. Sensitive Data Exposure by Type
- 5. Data breaches consequences Customer Information is Exfiltrated: ● Data sold on dark web to fraudulent end users ● User information used to create new account in customer name at other businesses ● Customer financial accounts monetized ● New credit accounts opened in customers’ names Customer Credentials Are Stolen ● Fraudulent Actors are able to access customer accounts ● Additional customer data is extracted through customer user interface ● Purchases made in customer name ● Customer financial accounts monetized ● Rewards and/or incentive accounts monetized
- 6. APIs Control Everything Online Travel Digital Payments e-Commerce Online Brokerage
- 7. API Abuse outside of data breaches With Access to APIs, Malicious Users Can: - Increase reward program balances - Lower merchandise pricing - Manipulate inventory availability - Gift Card and Referral frauds - Bypass policies and controls
- 8. Modern cloud native architectures K8s LB, Proxy, Gateway Edge VM Serverl ess Browser Mobile 3rd Party
- 9. API’s are the attack surface for data breaches K8s LB, Proxy, Gateway Edge VM Serverl ess MicroService MicroService MicroService MicroService MicroService MicroService
- 10. Using Tracing and API patterns for anomaly detection Behavioral Baseline 1. Digital Fingerprint: User agent, GeLocation, IP category etc 2. User ID: JWT/Basic Auth, Request header etc 3. Access pattern of Sensitive data per and across sessions 4. API sequence, Inter-API time interval 5. Sensitive Data flow between API’s
- 11. 11 Data Exfiltration Prevention ● Track volumes of Sensitive data traversing between API’s over time ● Highlight anomaly if sensitive data volume increases significantly over baseline for same user or across users ● Customizable Data Sets - PCI, PII, HIPAA or custom sets ● API Centric Data exfiltration view ● Sensitive data exposure to External API’s ● Categorize users accessing data through API’s - ○ Partners ○ Data Owners ○ Threat Actors ● Sensors to improve detection accuracy - ○ GeoLocation ○ IP reputation ○ Cloud/Hosted/Reside ntial IP ○ Tor/Botnet/Proxy ● Co-relate with increases in ATO/Excessive login attempts PCI HIPAA GDPR CCPA API
- 12. 12 API Fraud ● Watch Materially sensitive data (account balance, price, game score etc) ● Data usage patterns via API’s by users/groups will be learnt for watched data over time ● Use User Attribution and Digital Fingerprint to correlate user behavior across API’s ● Account for Tokenization for credit cards, crypto currencies and other materially significant data. ● Sensors to bump up fraud risk - ○ GeoLocation ○ IP reputation ○ Cloud/Hosted/Residen tial IP ○ Tor/Botnet/Proxy ● Co-relate with increases in ATO/Excessive login attempts
- 14. 14 Data Exfiltration Services View
- 15. 15 Data Exfiltration User View
- 16. 16 ➔ Sensitive data flow predominantly through API’s given cloud native app design ➔ Baselining behavior based on User, Device, API and sensitive data types are key ➔ Anomaly detection can solve a good fraction of Business logic abuse attacks ➔ Data flow and risk drives modern application security ➔ Data breaches and Fraud via API’s are on the rise and need to be stopped Recap
- 17. Sudeep Padiyar Founding Member, Product Management Traceable AI Thank you. Tim Davis Director of Risk, Move Money Products Chime