One string per line — paste form values, URL params, API payloads, etc.
Ready to scan
Paste input strings and click Scan// scan inputs for sql injection patterns instantly
Scan input strings for SQL injection payloads and patterns. Detect SQLi risks in form data, URLs, and API inputs instantly — free, browser-based, no upload needed.
Ready to scan
Paste input strings and click ScanAdd one string per line — URL params, form values, cookies, API body fields, anything user-controlled.
The tool checks each line against 25+ SQLi pattern categories including UNION, boolean-blind, time-based, and stacked queries.
Each line gets a risk score: Safe, Low, Medium, or High. Matched pattern categories are listed per finding.
This tool scans raw input strings against a curated library of SQL injection signatures — the same patterns attackers use to probe databases. It's designed for developers and security teams who need a fast, offline-friendly way to classify suspicious inputs without sending data to a third-party service.
All processing happens in your browser via a lightweight PHP API call to your own server. No input is logged or stored.
Yes. The tool only performs pattern matching — it does not execute any SQL or interact with any database. Input is analyzed client-side and via a simple server regex check. No payload is stored.
Safe — no SQLi patterns matched. Low — 1–2 pattern categories matched. Medium — 3–4 categories. High — 5 or more categories matched, indicating a likely deliberate injection payload.
No tool can guarantee 100% detection. This scanner covers the most common and well-documented SQLi pattern families. Highly obfuscated or novel attacks may evade regex-based detection — always combine with parameterized queries and server-side validation.
The pattern library includes signatures for MySQL, PostgreSQL, MSSQL (SQL Server), SQLite, and Oracle. Functions like SLEEP(), pg_sleep(), WAITFOR DELAY, and xp_cmdshell are all detected.
Absolutely. Paste the values your app receives — URL query strings, form POSTs, JSON body fields, cookie values — and the scanner will tell you which ones look like injection attempts. Useful before deploying or during code review.
Yes. The scanner includes patterns for URL-encoded quotes (%27), double URL-encoding (%2527), hex literals (0x41), and null byte injection (%00) — common encoding bypass techniques.
A SQL Injection Pattern Tester is a developer security tool that scans raw input strings against a database of known SQLi attack signatures. It helps developers, penetration testers, and security engineers quickly identify whether user-controlled input contains patterns associated with SQL injection attacks — before that input reaches a database query.
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SQL injection has appeared on the OWASP Top 10 list of critical web application security risks for over a decade. Despite being one of the oldest known attack vectors, it remains devastatingly effective against applications that don't properly validate or parameterize user input. A successful SQL injection attack can allow an attacker to bypass authentication, extract sensitive data, modify database records, execute operating system commands (via functions like xp_cmdshell), or completely destroy a database with a DROP TABLE command.
The reason SQLi persists is simple: developers often trust that their ORM or framework handles escaping, or they build queries through string concatenation without realizing the risk. Input validation is frequently treated as an afterthought, applied inconsistently, or skipped entirely for "internal" endpoints assumed to be safe from attack.
This tool applies a library of regular expressions against each input line you provide. Each regex targets a distinct SQL injection technique category:
UNION SELECT constructs used to extract data from secondary tables--, #, and /* */ comment sequences used to truncate query logicOR 1=1, AND 1=2, and similar always-true/false tautologiesSLEEP(), WAITFOR DELAY, pg_sleep(), and BENCHMARK() callsinformation_schema, sysobjects, or syscolumnsEach line receives a risk score from Safe through High based on how many pattern categories match. This gives you a prioritized list — you can focus remediation effort on the most dangerous-looking inputs first.
Understanding what these payloads look like in practice helps you recognize them in application logs and improve your input validation. Some of the most common examples include:
' OR '1'='1 — classic authentication bypass tautology'; DROP TABLE users; -- — destructive stacked query' UNION SELECT null,username,password FROM users-- — data extraction via UNION1' AND SLEEP(5)-- — time-based blind detection1 AND 1=CONVERT(int,(SELECT TOP 1 table_name FROM information_schema.tables))-- — error-based MSSQL enumeration%27 OR 1=1-- — URL-encoded single-quote bypassPattern matching is a useful detection and auditing layer, but the only reliable defense against SQL injection is proper query construction. Here are the essential defenses:
This scanner is useful in several scenarios. Developers can paste collected user inputs from logs or test environments to check whether any look like injection attempts. Penetration testers can use it to quickly classify a large set of candidate payloads before running them against a target. Security engineers reviewing WAF bypass attempts found in application logs will find the per-pattern breakdown helpful for understanding which rule categories were being targeted. Educators and students can use the sample payloads to understand how different attack families look syntactically.
Regex-based pattern matching is inherently imperfect for security detection. Sophisticated attackers use multi-stage encoding, unusual whitespace, comment interleaving, and novel syntax to evade signature-based filters. This tool should be used as a first-pass triage aid, not as a definitive security verdict. A "Safe" result does not mean an input is harmless — it means it doesn't match any of the known patterns in this library.
Always combine pattern scanning with parameterized queries at the code level, security testing with tools like SQLMap or Burp Suite, and regular dependency audits. Defense in depth — multiple layers of protection — is the only reliable security posture against SQL injection at scale.