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Zero Trust APIs with Python — Jose Haro Peralta
Learn essential API security strategies using Python, from preventing BOLA attacks to implementing zero trust principles, data validation, and proper authorization controls.
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BOLA (Broken Object Level Authorization) is one of the most common API vulnerabilities, allowing unauthorized access to other users’ data
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~80% of API attacks come from authenticated users, making proper authorization critical
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Key API security principles:
- Don’t trust any request regardless of source
- Validate and sanitize all input/output data
- Use strict data models and explicit access controls
- Implement proper pagination limits
- Parameterize database queries to prevent SQL injection
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Common API vulnerabilities:
- Mass assignment attacks
- SQL injection
- Pagination attacks exposing too much data
- Schema enumeration revealing internal properties
- Insufficient input validation
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Protection strategies:
- Use tools like Pydantic for data validation
- Implement proper model constraints and enumerations
- Test APIs at both design time and runtime
- Use parameterized queries for database operations
- Limit maximum page sizes and implement proper pagination
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Modern APIs face extensive attack surfaces:
- Microservices interactions
- Third-party integrations
- Database operations
- User input/output flows
- Authentication/authorization
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Testing tools recommended:
- Schema Thesis for runtime testing
- Spectral for design-time testing
- API Threads for vulnerability discovery