What is a web page scanner?
A web page scanner is a tool or software that is designed to analyze a website or web application for vulnerabilities and security weaknesses. It systematically scans the web pages and their associated elements, such as forms, links, and scripts, to identify potential vulnerabilities that could be exploited by hackers. They can be integrated with web tools like Drupal and WordPress.
Web page scanners use various techniques to assess the security of a website. These techniques may include:
1. Vulnerability scanning: Web page scanners search for known vulnerabilities in web applications, such as outdated software versions, misconfigurations, or weak authentication mechanisms. It helps identify potential entry points for attackers.
2. Cross-site scripting (XSS) detection: XSS is a common vulnerability where attackers inject malicious scripts into web pages, which can lead to unauthorized access or data theft. Web page scanners can detect such vulnerabilities and provide guidance on how to fix them.
3. SQL injection detection: SQL injection is a technique used by hackers to exploit vulnerabilities in a website’s database layer. Web page scanners can identify these vulnerabilities and suggest remediation steps to prevent unauthorized access to sensitive information.
4. Content security policy (CSP) analysis: CSP is a security mechanism that helps protect websites from cross-site scripting and data injection attacks. Web page scanners can analyze a website’s CSP implementation and provide recommendations for improvements.
5. Blacklist monitoring: Web page scanners can check if a website’s domain or IP address is listed on any known blacklists. This helps identify if the website has been associated with malicious activities or has been compromised.
What types of web page scanners are available?
Web page scanners are essential tools for IT security and risk management professionals to protect their organization’s websites from potential vulnerabilities and cyber threats. There are several types of web page scanners available, each with its own unique capabilities and features. Some are free. Here are some of the most common types:
1. Vulnerability Scanners: These scanners detect and identify vulnerabilities within web pages and applications. They scan for common security issues such as outdated software, misconfigurations, problems with http headers, and known vulnerabilities in third-party components.
2. Malware Scanners: Malware scanners are designed to detect and remove malicious code or malware present on web pages. They scan for suspicious patterns, malicious scripts, and other indicators of malware infections.
3. Code Review Scanners: These scanners analyze the source code of web pages and applications to identify potential security flaws. They assess coding practices, identify vulnerabilities, and recommend best practices for secure development.
4. Web Application Firewalls (WAF): WAFs sit between the web server and the user, monitoring and filtering incoming traffic to detect and block malicious requests. They use rule-based techniques, behavioral analysis, and machine learning algorithms to identify and mitigate various web-based attacks.
5. Compliance Scanners: Compliance scanners ensure that web pages and applications adhere to industry-specific regulations and security standards. They assess the website’s configuration, encryption protocols, and access controls to ensure compliance with requirements like PCI-DSS, HIPAA, and GDPR.
6. Web Accessibility Scanners: These scanners evaluate web pages for accessibility compliance and identify any potential barriers that may prevent individuals with disabilities from accessing and using the website effectively.
About CheckPhish
CheckPhish is the place to start for domain monitoring. CheckPhish is a real-time URL and website scanner. Once a URL is submitted, our engine spins up an automated headless browser to capture a live screenshot, natural language content on the webpage, DOM, WHOIS, and other essential information. The engine sends this information to multiple deep learning models in the backend that can recognize essential signals like brand logos, sign-in forms, and intent. Our engine then combines these signals with our proprietary threat intel data to identify phishing and scam pages.
