Why SQLi Refuses to Die
SQL injection has been a known vulnerability for 28 years. Every web framework has built-in protections. Every security training course covers it. Every SAST tool flags it. And yet 2025 saw a 17% increase in successful SQLi attacks compared to 2024.
The reason is architectural. Parameterized queries prevent SQLi in the code that uses them. But modern applications have hundreds of database interaction points — REST endpoints, GraphQL resolvers, admin panels, internal tools, batch processors, migration scripts. A single one that concatenates a string into a query is all it takes.
Modern SQLi Is Not Your Textbook Example
Forget `' OR 1=1 --`. Modern SQLi uses time-based blind injection, second-order injection where the payload is stored and triggered later, and polyglot payloads that work simultaneously across multiple database engines.
1-SEC's Injection Shield catches these modern variants using a combination of pattern matching and behavioral analysis. It doesn't just look for the classic patterns — it analyzes the structure of the input to detect obfuscated and encoded injection attempts.
NoSQL Injection
MongoDB, Elasticsearch, and Redis have their own injection vulnerabilities. Passing user input into a MongoDB query operator like $gt, $ne, or $regex without sanitization is exactly as dangerous as SQL injection. The Injection Shield covers NoSQL injection patterns alongside traditional SQLi.
Template Injection
Server-side template injection (SSTI) in Jinja2, Twig, Freemarker, and Handlebars provides a direct path from user input to code execution. These are often harder to detect than SQLi because the syntax is template-engine-specific. 1-SEC includes detection patterns for all major template engines.
Layers of Injection Defense
Parameterized queries are necessary but not sufficient. You also need server-side input validation, output encoding, least-privilege database accounts, and runtime injection detection for the inevitable cases where code-level defenses have gaps. 1-SEC provides the runtime detection layer that catches what code reviews and SAST tools miss.