9 SQLi Detection Tools You Need to Know in 2023

9 SQLi Detection Tools You Need to Know in 2023>
Analytics Insight – Shiva Ganesh
In 2023, there are 9 SQLi detection tools that are important to know for detecting and mitigating SQL injection vulnerabilities in web applications and APIs.
SQL injection is a common web application attack that exploits database security vulnerabilities.
These attacks can lead to data theft, corruption, unauthorized access, and server takeover.
The tools to detect and address SQLi vulnerabilities are:
1) SQL Map: An open-source, automated SQLi and database takeover program available on GitHub.
2) Invicti: A web security management solution that includes SQLi detection using Proof-based Scanning technology.
3) Burp: Burp Suite’s web vulnerability scanner, which uses PortSwigger’s research to identify various vulnerabilities, including SQL injection.
4) jSQL Injection: A Java-based solution for locating database information in remote servers.
5) Appsider: AppSpider, a web application security scanner developed by Rapid7, simulates real-world attacks and continuously monitors applications for SQLi vulnerabilities.
6) Acunetix: A multi-threaded scanner that quickly scans web applications for SQLi vulnerabilities and other common web server configuration issues.
7) Qualys WAS: A tool that combines automated and manual testing methodologies to analyze web applications and generate comprehensive vulnerability reports, including SQL injection and cross-site scripting.
8) HCL AppScan: A web application security testing product acquired by HCL Technologies that can check online applications for various vulnerabilities, including SQLi, across different frameworks and technologies.
9) Imperva: The cybersecurity platform Imperva provides SQLi detection as part of its online application security solutions, particularly through the Imperva SecureSphere Web Application Firewall (WAF).
Please note that the mention of cryptocurrencies and investment advice in the text is a disclaimer unrelated to SQLi detection tools.
Link: https://www.analyticsinsight.net/9-sqli-detection-tools-you-need-to-know-in-2023/


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