Showing 3 open source projects for "sql injection attack"

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  • 1
    SafeLine

    SafeLine

    Serve as a reverse proxy to protect your web services from attacks

    ...A web application firewall helps protect web apps by filtering and monitoring HTTP traffic between a web application and the Internet. It typically protects web apps from attacks such as SQL injection, XSS, code injection, os command injection, CRLF injection, LDAP injection, XPath injection, RCE, XXE, SSRF, path traversal, backdoor, brute force, HTTP-flood, bot abuse, among others. By deploying a WAF in front of a web application, a shield is placed between the web application and the Internet. While a proxy server protects a client machine’s identity by using an intermediary, a WAF is a type of reverse-proxy, protecting the server from exposure by having clients pass through the WAF before reaching the server. ...
    Downloads: 3 This Week
    Last Update:
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  • 2
    Coraza

    Coraza

    OWASP Coraza WAF is a golang modsecurity compatible firewall library

    ...Coraza runs the OWASP Core Rule Set (CRS) to protect your web applications from a wide range of attacks, including the OWASP Top Ten, with a minimum of false alerts. CRS protects from many common attack categories including: SQL Injection (SQLi), Cross Site Scripting (XSS), PHP & Java Code Injection, HTTPoxy, Shellshock, Scripting/Scanner/Bot Detection & Metadata & Error Leakages. Coraza is a library at its core, with many integrations to deploy on-premise Web Application Firewall instances.
    Downloads: 0 This Week
    Last Update:
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  • 3
    OWASP ModSecurity CRS

    OWASP ModSecurity CRS

    OWASP ModSecurity Core Rule Set (CRS) Project

    The OWASP ModSecurity Core Rule Set (CRS) is a curated, generic Web Application Firewall rule set that detects and blocks common attack categories across most web apps. It focuses on broad protection—SQL injection, cross-site scripting, local/remote file inclusion, command injection, and protocol violations—without requiring app-specific knowledge. Rules are organized into paranoia levels so operators can tune detection aggressiveness and balance false positives against coverage. ...
    Downloads: 0 This Week
    Last Update:
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