General
George Miloradovich
Researcher, Copywriter & Usecase Interviewer
February 28, 2025
A low-code platform blending no-code simplicity with full-code power 🚀
Get started free
February 28, 2025
•
8
min read

How to Detect Headless Browsers and Protect Your Website from Bots

George Miloradovich
Researcher, Copywriter & Usecase Interviewer
Table of contents

Headless browsers are tools often used by bots for tasks like data scraping, click fraud, and DDoS attacks. They operate without a visible interface, making them efficient but also a common choice for automated threats. These bots can harm your website by slowing it down, stealing data, or draining your ad budget.

To protect your site, here are the key steps:

How to Detect Headless Browsers

  1. Check User Agent Data: Look for inconsistencies in browser details like fonts, plugins, or system data.
  2. Test JavaScript Behavior: Analyze how the browser processes dynamic content.
  3. Use Browser Fingerprinting: Collect unique data points like screen size and time zone to spot anomalies.
  4. Monitor User Actions: Identify unnatural patterns like repetitive mouse movements or perfect timing.

How to Block Bots

  1. Set Up CAPTCHAs: Challenge suspicious users with tools like Google reCAPTCHA.
  2. Add Rate Limits: Limit excessive requests from the same IP or session.
  3. Install a Web Application Firewall (WAF): Block known attack patterns automatically.
  4. Block Malicious IPs: Use real-time threat intelligence to update blocklists.

Advanced Protection

  • AI-Based Detection: Use AI to analyze traffic patterns and predict emerging threats.
  • Bot Traps: Deploy invisible fields or decoy links to catch bots.
  • Enhanced Device Profiling: Monitor dynamic behaviors like mouse movements and keystroke timing.

By combining these techniques, you can safeguard your website from malicious bots while maintaining a smooth experience for real users.

The New Headless Chrome, A Near Perfect Fingerprint

4 Ways to Spot Headless Browsers

Identifying headless browsers involves examining browser behaviors and characteristics from multiple angles. Each approach helps piece together the bigger picture.

Check User Agent Data

User agent strings reveal key details about the browsers visiting your site. If a user agent claims to be Chrome on Windows but lacks typical Windows fonts or has an unusual screen resolution, it might be a headless browser.

To make this check more accurate:

  • Compare the user agent's claims with actual IP and system data.
  • Verify the consistency of fonts, plugins, and navigator properties.

Follow this up by testing how the browser handles JavaScript and renders pages to catch more inconsistencies.

Test JavaScript and Page Rendering

Observe how the browser processes dynamic content and interactive elements. Automated tools often struggle with these tasks, revealing their presence through anomalies.

Once this is done, you can refine your detection efforts using browser fingerprinting.

Use Browser Fingerprinting

Browser fingerprinting collects details about a device and browser to create unique profiles, making it easier to differentiate between real browsers and headless ones. This method analyzes subtle variations in browser behavior.

Key data points for fingerprinting include:

  • Screen and window dimensions
  • Installed fonts and plugins
  • Browser vendor and time zone
  • How the browser handles graphics and audio

Advanced fingerprinting can detect even minor differences in how browsers process graphics and audio, making it harder for headless browsers to stay hidden.

Monitor User Actions

Human interaction with websites tends to follow natural patterns, which automated systems often fail to mimic. By observing user behavior, you can spot signs of headless browser activity. Look for:

  • Perfectly steady or repetitive mouse movements and form completions
  • The absence of natural scrolling or hovering
  • Consistent timing between actions

Combining these methods strengthens your detection efforts, as each approach validates the findings of the others.

4 Steps to Block Bot Traffic

Effectively managing bot traffic requires identifying headless browsers and implementing multiple layers of protection. These steps work alongside earlier detection methods to strengthen your website's security.

Set Up CAPTCHA Systems

After detecting suspicious activity, use CAPTCHAs to confirm if a user is legitimate. With bots accounting for over 43% of internet traffic , CAPTCHAs are a critical tool.

Google's reCAPTCHA v3 is a great option since it uses a behind-the-scenes scoring system to minimize user interruptions. To get the most out of CAPTCHAs, consider these strategies:

  • Place them on high-risk pages
  • Trigger them only for suspicious behavior
  • Offer audio options for accessibility
  • Regularly monitor and fine-tune settings

Add Request Limits

Rate limiting prevents abuse while ensuring genuine users can still access your site smoothly. For example, Cloudflare uses tiered rate limits :

  • 1 minute: Allow 4 requests, then trigger a challenge
  • 10 minutes: Allow 10 requests, then issue a secondary challenge
  • 1 hour: Allow 20 requests, then block access for 24 hours

You can set rate limits based on factors like:

  • IP addresses
  • User sessions
  • Specific endpoints
  • Geographic locations

Install a Web Application Firewall

A Web Application Firewall (WAF) offers automated protection by identifying and blocking known attack patterns. Modern WAFs work with other security features, like rate limiting and CAPTCHA challenges, to create a strong, multi-layered defense.

Block Known Bad IPs

Dynamic IP blocklists, powered by threat intelligence data, are an effective way to block malicious traffic. Tools like Palo Alto Networks' Dynamic Address Groups (DAGs) update in real-time, removing the need for manual adjustments .

  • Use threat intelligence feeds to track malicious IPs
  • Automate blocking with firewall APIs
  • Regularly review for false positives
  • Keep blocklists updated

The Spamhaus Botnet Controller List (BCL) is a reliable resource, identifying up to 50 new malicious IPs every day . According to their documentation:

"The BCL's primary objective is to avoid 'false positives' while blocking as much malicious traffic as possible" .

sbb-itb-23997f1

Advanced Bot Detection Methods

Building on basic approaches, advanced techniques refine bot protection to counter modern threats. These methods are designed to keep up with increasingly sophisticated bots.

AI-Based Bot Detection

AI leverages real-time traffic analysis to spot automation. Cybersecurity expert Oliver Kampmeier explains:

"Instead of merely reacting to known threats, AI anticipates potential risks, predicting emerging threats based on historical and current data patterns without manual intervention."

With bots causing over $100 billion in ad fraud annually , AI-based detection offers several advantages:

  • Behavior analysis: Examines user actions across multiple dimensions.
  • Pattern recognition: Reduces false positives by identifying nuanced trends.
  • Continuous learning: Adapts to new threats with each interaction.
  • Detection of emerging bot tactics: Identifies previously unseen patterns.

These capabilities also enable complementary measures, such as bot traps.

Set Up Bot Traps

Bot traps, also known as honeypots, attract and identify automated visitors. WorkOS security expert Maria Paktiti shared several implementation techniques in February 2025 :

  • Invisible form fields: Use CSS to create fields only bots can see.
  • Time-based monitoring: Track submission times to flag unusually fast responses.
  • Decoy links: Place links outside visible areas to catch bots.
  • Interaction tracking: Monitor behavior for signs of automation.

These traps are simple yet effective tools for identifying suspicious activity.

Enhanced Device Profiling

Modern profiling goes beyond static data, focusing on dynamic device behaviors. Key areas of monitoring include:

Category Key Data Points Detection Indicator
Browser Data Browser type, user agent Inconsistent browser profiles
Device Info Screen size, operating system, time zone Profile mismatches
User Behavior Mouse movements, keystroke timing Unnatural interaction patterns

This approach ensures a more thorough evaluation of potential threats.

Use Latenode for Bot Protection

Latenode

Latenode, a low-code workflow automation platform, enables custom bot protection strategies. Its visual workflow builder and AI tools allow users to create tailored detection rules and automate responses to suspicious activity, such as identifying headless browser usage. Latenode integrates seamlessly with various applications and supports real-time monitoring, making it ideal for high-traffic websites.

These advanced techniques work alongside other bot protection strategies, which are explored in the next section.

Ongoing Bot Protection Steps

To stay ahead of evolving bot tactics, it's crucial to regularly review and update your defenses. Malicious bots account for up to 90% of eCommerce traffic, with global eCommerce fraud losses projected to exceed $48 billion in 2023 . These ongoing steps work alongside the detection and blocking strategies already discussed.

Regular Security Checks

Performing consistent security reviews ensures your defenses remain effective. Here's a quick breakdown:

Security Check Purpose Frequency
Traffic Analysis Spot unusual patterns or traffic spikes Weekly
Budget Alerts Guard against Denial of Wallet attacks Daily
False Positive Review Ensure legitimate users aren't blocked Monthly
Vendor Performance Assess effectiveness of protection tools Monthly

Stay Alert to New Bot Tactics

Bots are constantly evolving, so it's essential to track new attack methods and adjust your safeguards. For example, one incident involved a customer support bot consuming 100 million tokens in just one hour, resulting in a $3,000 loss .

Maintain a Smooth User Experience

Security shouldn't come at the expense of usability. Use multi-layered detection methods to strike the right balance. Modern bot management platforms can help by offering:

  • Risk scoring and behavioral analysis to challenge only suspicious activity.
  • Automated response rules to ensure your site stays responsive.
  • Customizable verification options to handle questionable traffic without disrupting legitimate users.

Choose the Right Bot Protection Tools

Selecting the right tools is key to effective bot management. Based on recent Gartner Peer Insights ratings, here are some top solutions:

Solution Rating Best For
AppTrana WAAP 4.9 Teams without dedicated security experts
Akamai Bot Manager 4.8 Large-scale enterprise protection
Imperva Advanced Bot Management 4.7 Technical teams

For smaller organizations, Latenode provides an affordable option with built-in bot protection. Its visual workflow builder allows you to create custom detection rules without requiring extensive coding knowledge. Regularly reviewing and refining these measures will help you stay one step ahead of bot threats.

Conclusion: Next Steps for Bot Protection

Now that we've covered detection and blocking techniques, let's talk about how to strengthen your website's defenses even further.

With malicious bots making up 30% of all internet traffic , the risks are undeniable. Automated attacks can drain about 4.3% of online revenues , so taking proactive measures is essential.

Here’s how you can step up your bot protection game:

Immediate Actions

  • Block hosting providers and proxies: These are often used by bots to mask their identity.
  • Monitor real-time traffic spikes and failed logins: These can signal bot activity.
  • Deploy CAPTCHA: Use it to challenge suspicious agents and verify they’re human.
  • Apply rate limiting: Restrict excessive requests at all access points to prevent abuse.

Advanced Protection

For more robust defenses, consider investing in specialized bot management tools. Here’s a quick comparison of some top solutions:

Solution Monthly Cost Best For
DataDome $3,490–$8,190 Enterprise-level protection
Cloudflare Starting at $200 Business websites
Latenode $47–$297 Growing organizations

These tools offer a range of features to enhance your existing security setup.

"The bot problem is an arms race. Bad actors are working hard every day to attack websites across the globe" .

Modern bot detection tools can identify AI-driven bots while keeping the user experience smooth. Look for solutions that include:

  • Behavioral analysis and risk scoring
  • API security features
  • Real-time threat detection and response
  • Comprehensive activity reports

With 88% of organizations reporting that bots hurt customer satisfaction , finding the right balance between security and usability is critical. Regularly review and adjust your defenses to ensure they're effective, and you'll be better equipped to handle bot-related threats while keeping legitimate users happy.

Related Blog Posts

Related Blogs

Use case

Backed by