SQL Injection Pattern Checker

SQL injection pattern detection is the process of analyzing SQL query text for syntax patterns that indicate malicious manipulation or obfuscation. Attackers useSQL injection (SQLi) to interfere with database queries by injecting unexpected SQL commands through application input fields. Over time, attackers have developed sophisticated obfuscation techniques to bypass Web Application Firewalls (WAFs), intrusion detection systems (IDS), and input validation filters. The SQL Injection Pattern Checker detects both classic injection patterns like UNION SELECT and OR 1=1, as well as advanced obfuscation techniques like hex-encoded strings, CHAR() function calls, inline comments within keywords, URL encoding, and Unicode substitution.

1. Enter or paste your SQL query: type a query directly or load the sample SQL to see how patterns are detected. The tool accepts any SQL dialect (MySQL, PostgreSQL, SQL Server, Oracle, SQLite) and analyzes the raw query text using regular expression pattern matching.
2. Automated pattern scanning: the tool compares your query against 20+ predefined injection and obfuscation pattern definitions organized by severity level. Each pattern includes a regular expression, severity rating (Critical to Info), human-readable description, and category classification. The scanner reports every match with its exact position in the query and surrounding context.
3. Risk scoring & visualization: total severity score is computed by summing weighted points per finding (Critical=40, High=20, Medium=10, Low=5, Info=1). The overall risk level (Safe to Critical) is determined by thresholds on the total score. Findings are shown sorted by severity, and the highlighted SQL view color-codes each matched region for quick visual scanning.

• In-band / Union-based: the attacker uses UNION SELECT to append their own query results to the original result set. This is the most common and dangerous form of SQL injection as it allows direct data extraction. Our scanner detects UNION SELECT patterns, bulk column concatenation (GROUP_CONCAT, CONCAT), and multiple SELECT statements.
• Blind / Boolean-based: the attacker injects boolean conditions (OR 1=1, AND 1=2) and infers database information from the application response. The scanner detects tautologies, LIKE-based blind extraction, and conditional comparisons that indicate boolean-based injection attempts.
• Time-based blind: the attacker uses database sleep functions (WAITFOR DELAY in SQL Server, SLEEP() in MySQL, pg_sleep() in PostgreSQL) to infer true/false conditions from response delays. The scanner detects all major database sleep functions and benchmark-based timing attacks.
• Out-of-band (OOB): the attacker uses database functions that make network requests (UTL_HTTP, xp_dirtree, OPENROWSET) to exfiltrate data to an attacker-controlled server. The scanner detects these specific functions along with INTO OUTFILE/DUMPFILE file write operations.
• Obfuscation & bypass: attackers encode or obfuscate their payloads to evade signature-based detection. Common techniques include hex encoding (0x...), CHAR() ASCII construction, inline comments in keywords, URL encoding, Unicode homoglyphs, and excessive whitespace. The scanner detects all of these bypass techniques.

The SQL Injection Pattern Checker processes all queries entirely in your browser using local JavaScript pattern matching. No SQL query text is ever uploaded to any server, stored in any database, or transmitted over any network. There are no query length limits beyond what your browser can handle. The tool is completely free to use with no registration, account, or API key required. All pattern definitions, severity scoring, and highlighting logic runs client-side, ensuring your sensitive SQL queries and database schema information never leave your device.