jSQL – Automatic SQL Injection Tool In Java

The New Acunetix V12 Engine


jSQL is an automatic SQL Injection tool written in Java, it’s lightweight and supports 23 kinds of database.

jSQL - Automatic SQL Injection Tool In Java


It is free, open source and cross-platform (Windows, Linux, Mac OS X) and is easily available in Kali, Pentest Box, Parrot Security OS, ArchStrike or BlackArch Linux.

Features of jSQL Java SQL Injection Tool

  • Automatic injection of 23 kinds of databases:
    • Access
    • CockroachDB
    • CUBRID
    • DB2
    • Derby
    • Firebird
    • H2
    • Hana
    • HSQLDB
    • Informix
    • Ingres
    • MaxDB
    • Mckoi
    • MySQL{MariaDb}
    • Neo4j
    • NuoDB
    • Oracle
    • PostgreSQL
    • SQLite
    • MS SQL Server
    • Sybase
    • Teradata
    • Vertica
  • Multiple injection strategies: Normal, Error, Blind and Time
  • SQL Engine to study and optimize SQL expressions
  • Injection of multiple targets
  • Search for administration pages
  • Creation and visualisation of Web shell and SQL shell
  • Read and write files on host using injection
  • Bruteforce of password’s hash
  • Code and decode a string

Installation of jSQL Java SQL Injection Tool

Install Java 8, then download the latest release of jSQL Injection and double-click on the file jsql-injection-v0.79.jar to launch the software. You can also type java -jar jsql-injection-v0.79.jar in your terminal to start the program. If you are using Kali Linux then get the latest release using commands apt update then apt full-upgrade.


Future Roadmap for jSQL SQL Injection Java

  • Netezza Support
  • Test coverage with Jacoco
  • Integration test with Docker and JPA Hibernate Jooq
  • Maven
  • Core swing CLI
  • Full Path Disclosure
  • DIOS RoutedQuery OOB UpdateInsertDelete
  • Bruteforce HTTP Auth using NTLM
  • Arabic translation
  • Command-line interface
  • Dictionary attack
  • WAF Detection
  • Program self-updater

You can download jSQL Java SQL Injection Tool here:

jsql-injection-v0.81.jar

Or read more here.

Posted in: Database Hacking

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