🤖 Overview

GoZilla is a commercial load-testing and stress-testing tool developed by RadView Software, first released in the late 1990s. Its primary purpose is to simulate thousands of concurrent virtual users sending HTTP/HTTPS requests to web applications, APIs, and web services to measure performance, scalability, and reliability under heavy load. It is not a search engine or AI crawler but an automated legitimate agent used by QA teams and DevOps engineers for performance engineering.

🌐 Technical Behavior

GoZilla generates synthetic traffic by replaying recorded or scripted browser sessions, supporting both GET and POST methods with dynamic parameterization. It can throttle request rates from a few requests per second up to tens of thousands per second across distributed load generators. The tool uses multiple concurrent TCP connections per virtual user and can mimic real browser headers including User-Agent, Accept-Language, and Referer. RadView’s official documentation recommends using dedicated IP ranges for load testing to avoid blacklisting; common outbound IPs belong to corporate test environments rather than fixed public ranges. GoZilla does not follow hyperlinks organically — it executes predefined test scripts with precise timing. It supports both IPv4 and IPv6, and can generate traffic over HTTP/1.1, HTTP/2, and HTTPS with TLS 1.2+.

📋 robots.txt Compliance

GoZilla does not inherently respect robots.txt because it is designed for load testing of specific endpoints under control of the application owner, not for crawling. The RadView documentation states that test scripts are configured by the operator and can be adjusted to avoid disallowed paths, but the tool itself has no built-in parser for robots.txt files. Production websites that do not wish to receive synthetic load traffic from GoZilla are advised to block its default User-Agent at the network level or use IP-based access controls.

🔍 Detection Indicators

The default User-Agent string is GoZilla/5.0 (compatible; RadView; +https://www.radview.com), though operators often customize it. Behavioral fingerprints include a high request rate with consistent inter‑request intervals, lack of JavaScript or CSS file downloads, and absence of mouse movement or scrolling events. Other identifying headers may include X-Requested-With: LoadTest (optional) and a custom X-RadView-Session header for internal instrumentation. Network traffic may show bursts of SYN packets from few source IPs with low TTL values.

📊 Data Usage

Collected data (response times, error rates, throughput) is used exclusively for performance analysis and capacity planning by the organization operating the test. No data is shared with third parties or used for AI training. Results are typically displayed in RadView’s dashboard or exported as CSV/XML for reporting.

⚙️ Rate Limiting Policy

Rate‑limiting or blocking GoZilla is standard practice because its synthetic traffic can degrade real user experience, overwhelm server resources, and skew analytics. Organizations typically set threshold‑based blocks (e.g., >1000 requests in 60 seconds from a single IP) to protect production environments while allowing legitimate load testing on staging or test domains.

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