How to Bypass Sucuri Firewall When Web Scraping

Sucuri is a web application firewall (WAF) that protects a massive number of websites, particularly WordPress sites, small business pages, and mid-market ecommerce stores. while it isn’t as sophisticated as DataDome or Cloudflare’s Bot Management, Sucuri still blocks a significant amount of automated traffic and can be frustrating if you don’t know how it works.

the good news is that Sucuri’s anti-bot protections are generally easier to bypass than enterprise solutions. this guide shows you exactly how.

How Sucuri Detects Bots

Sucuri uses a simpler but effective detection approach compared to enterprise anti-bot solutions.

JavaScript Challenge Page

Sucuri’s primary defense is a JavaScript challenge page. when a suspicious request arrives, Sucuri serves an HTML page containing obfuscated JavaScript. this script:

1. performs browser environment checks
2. generates a cookie value based on the JavaScript execution result
3. redirects the browser to the original URL with the new cookie

this is the challenge most scrapers encounter. the JavaScript is obfuscated but not excessively complex.

IP-Based Rules

Sucuri applies IP-based rules including:

• rate limiting per IP address
• geographic restrictions based on the site owner’s configuration
• datacenter IP blocking for known hosting ranges
• blocklists of IPs associated with previous attacks

Header Analysis

Sucuri checks request headers for consistency. missing headers, unusual User-Agent strings, or headers that don’t match a real browser trigger additional scrutiny.

Bot Signatures

Sucuri maintains a database of known bot signatures, including:

• common scraping library identifiers
• known vulnerability scanners
• automated testing tools

Identifying Sucuri Protection

before you start building bypass logic, confirm the site uses Sucuri.

from curl_cffi import requests

def detect_sucuri(url):
    """detect if a website is protected by Sucuri WAF"""
    session = requests.Session(impersonate="chrome124")
    response = session.get(url, allow_redirects=False)

    text = response.text.lower()
    headers_lower = {k.lower(): v for k, v in response.headers.items()}

    indicators = {
        "sucuri_cookie": any(
            "sucuri" in c.lower() for c in response.cookies.keys()
        ),
        "sucuri_header": "x-sucuri-id" in headers_lower
            or "sucuri" in headers_lower.get("server", "").lower(),
        "sucuri_js_challenge": "sucuri.net" in text or "sucuribot" in text,
        "cloudproxy": "cloudproxy" in text,
        "sucuri_block_page": "access denied - sucuri" in text,
    }

    is_sucuri = any(indicators.values())
    print(f"Sucuri detected: {is_sucuri}")
    for check, result in indicators.items():
        print(f"  {check}: {result}")

    return is_sucuri

detect_sucuri("https://example-site.com")

Method 1: Solving the JavaScript Challenge with Python

Sucuri’s JavaScript challenge is simpler than most other WAFs. in many cases, you can solve it without a full browser by parsing the challenge page and computing the cookie value.

from curl_cffi import requests
import re
import time

class SucuriBypass:
    def __init__(self, proxy=None):
        self.session = requests.Session(impersonate="chrome124")
        self.proxy = {"http": proxy, "https": proxy} if proxy else None
        self.headers = {
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
            "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8",
            "Accept-Language": "en-US,en;q=0.9",
            "Accept-Encoding": "gzip, deflate, br",
            "Connection": "keep-alive",
            "Upgrade-Insecure-Requests": "1",
            "Sec-Fetch-Dest": "document",
            "Sec-Fetch-Mode": "navigate",
            "Sec-Fetch-Site": "none",
            "Sec-Fetch-User": "?1",
        }

    def is_challenge_page(self, response):
        """check if the response is a Sucuri challenge page"""
        if response.status_code == 200:
            return (
                "sucuri" in response.text.lower()
                and "<noscript>" in response.text.lower()
                and "document.cookie" in response.text
            )
        return False

    def extract_cookie_script(self, html):
        """extract the cookie-setting script from Sucuri's challenge page"""
        # Sucuri's challenge sets a cookie via JavaScript
        # the pattern typically looks like: document.cookie = "sucuri_...=value"
        pattern = r'document\.cookie\s*=\s*["\']([^"\']+)["\']'
        match = re.search(pattern, html)
        if match:
            return match.group(1)
        return None

    def solve_challenge(self, url):
        """attempt to solve Sucuri's JavaScript challenge"""
        response = self.session.get(
            url,
            headers=self.headers,
            proxies=self.proxy
        )

        if not self.is_challenge_page(response):
            return response  # no challenge, return directly

        print("Sucuri challenge detected, attempting to solve...")

        # extract cookie value from the challenge script
        cookie_string = self.extract_cookie_script(response.text)
        if cookie_string:
            # parse and set the cookie
            parts = cookie_string.split("=", 1)
            if len(parts) == 2:
                name = parts[0].strip()
                value = parts[1].split(";")[0].strip()
                self.session.cookies.set(name, value)
                print(f"cookie set: {name}")

        # small delay to mimic JS execution time
        time.sleep(1.5)

        # retry the request with the new cookie
        response = self.session.get(
            url,
            headers=self.headers,
            proxies=self.proxy
        )

        return response

    def scrape(self, url):
        """scrape a URL, handling Sucuri challenge if present"""
        response = self.solve_challenge(url)

        if self.is_challenge_page(response):
            print("challenge still present after solving. falling back to browser.")
            return None

        return response

# usage
scraper = SucuriBypass(proxy="http://user:pass@proxy:port")
result = scraper.scrape("https://sucuri-protected-site.com/target-page")
if result:
    print(f"success: {len(result.text)} bytes")

Method 2: Browser-Based Bypass with Playwright

when the JavaScript challenge is too complex to solve programmatically, a real browser handles it automatically.

import asyncio
from playwright.async_api import async_playwright

async def bypass_sucuri_browser(url, proxy=None):
    async with async_playwright() as p:
        launch_options = {
            "headless": True,  # Sucuri usually works with headless
            "args": [
                "--disable-blink-features=AutomationControlled",
            ],
        }

        if proxy:
            launch_options["proxy"] = {
                "server": proxy["server"],
                "username": proxy.get("username"),
                "password": proxy.get("password"),
            }

        browser = await p.chromium.launch(**launch_options)
        context = await browser.new_context(
            viewport={"width": 1366, "height": 768},
            user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
        )

        page = await context.new_page()

        # navigate and let the JS challenge resolve
        await page.goto(url, wait_until="networkidle")

        # Sucuri's challenge typically redirects after solving
        # wait for the redirect to complete
        for _ in range(5):
            content = await page.content()
            if "sucuri" not in content.lower() or len(content) > 5000:
                break
            await page.wait_for_timeout(2000)

        # extract cookies for reuse
        cookies = await context.cookies()
        sucuri_cookies = {
            c["name"]: c["value"]
            for c in cookies
        }

        final_content = await page.content()
        final_url = page.url

        await browser.close()

        return {
            "content": final_content,
            "cookies": sucuri_cookies,
            "url": final_url,
        }

# usage
result = asyncio.run(bypass_sucuri_browser(
    "https://sucuri-protected-site.com",
    proxy={"server": "http://proxy:port", "username": "user", "password": "pass"}
))

print(f"final URL: {result['url']}")
print(f"cookies: {list(result['cookies'].keys())}")

Reusing Cookies for Faster Scraping

the browser approach is slow for large-scale scraping. solve the challenge once, then reuse cookies.

from curl_cffi import requests
import asyncio
import time
import random

class SucuriFastScraper:
    def __init__(self, proxy):
        self.proxy = proxy
        self.session = requests.Session(impersonate="chrome124")
        self.cookies = None

    async def get_cookies(self, base_url):
        """get Sucuri cookies using browser"""
        result = await bypass_sucuri_browser(
            base_url,
            proxy={"server": f"http://{self.proxy}"}
        )
        self.cookies = result["cookies"]
        # set cookies on the session
        for name, value in self.cookies.items():
            self.session.cookies.set(name, value)
        return bool(self.cookies)

    def scrape_urls(self, urls):
        """scrape multiple URLs using browser-obtained cookies"""
        results = []
        for url in urls:
            time.sleep(random.uniform(1, 3))
            response = self.session.get(
                url,
                headers={
                    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
                    "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
                    "Accept-Language": "en-US,en;q=0.9",
                },
                proxies={"http": self.proxy, "https": self.proxy}
            )

            if response.status_code == 200:
                results.append({"url": url, "html": response.text})
                print(f"scraped: {url}")
            else:
                print(f"failed ({response.status_code}): {url}")

        return results

Method 3: Handling Sucuri’s Rate Limiting

Sucuri applies rate limits that vary by site configuration. here’s how to stay under the radar:

import time
import random
from collections import deque

class SucuriRateLimiter:
    def __init__(self, max_requests_per_minute=15):
        self.max_rpm = max_requests_per_minute
        self.request_times = deque()

    def wait_if_needed(self):
        """enforce rate limiting with a sliding window"""
        now = time.time()

        # remove requests older than 60 seconds
        while self.request_times and now - self.request_times[0] > 60:
            self.request_times.popleft()

        if len(self.request_times) >= self.max_rpm:
            wait_time = 60 - (now - self.request_times[0])
            wait_time += random.uniform(1, 3)  # add jitter
            print(f"rate limit reached. waiting {wait_time:.1f}s...")
            time.sleep(wait_time)

        self.request_times.append(time.time())

# Sucuri tends to be more lenient than other WAFs
# 15-20 requests per minute is usually safe
limiter = SucuriRateLimiter(max_requests_per_minute=15)

Method 4: Dealing with Sucuri’s Geographic Restrictions

some Sucuri-protected sites block traffic from certain countries. use geo-targeted proxies to match the site’s expected audience.

from curl_cffi import requests

def scrape_with_geo_proxy(url, country_code="us"):
    """use a geo-targeted proxy to bypass geographic restrictions"""
    # most proxy providers support country targeting
    proxy = f"http://user-country-{country_code}:pass@gateway.proxy.com:port"

    session = requests.Session(impersonate="chrome124")
    response = session.get(
        url,
        headers={
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
            "Accept-Language": "en-US,en;q=0.9",
        },
        proxies={"http": proxy, "https": proxy}
    )

    return response

# try different geos if one is blocked
for country in ["us", "gb", "de", "ca"]:
    result = scrape_with_geo_proxy("https://geo-restricted-site.com", country)
    if result.status_code == 200:
        print(f"success with {country} proxy")
        break
    else:
        print(f"{country} proxy blocked ({result.status_code})")

Sucuri vs Other WAFs: What Makes It Different

Sucuri has some characteristics that set it apart from other anti-bot solutions:

the key advantage when scraping Sucuri-protected sites is that headless browsers usually work without any stealth modifications. Sucuri doesn’t perform deep browser fingerprinting like DataDome or Cloudflare do.

Proxy Recommendations for Sucuri

Sucuri’s IP filtering is less aggressive than enterprise solutions, but datacenter IPs still get blocked frequently.

# proxy type effectiveness for Sucuri
proxy_effectiveness = {
    "datacenter": {
        "success_rate": "40-60%",
        "cost": "low",
        "notes": "works on many Sucuri sites, especially with proper headers"
    },
    "residential_rotating": {
        "success_rate": "85-95%",
        "cost": "medium",
        "notes": "best balance of cost and reliability"
    },
    "residential_static": {
        "success_rate": "90-95%",
        "cost": "medium-high",
        "notes": "good for session-based scraping"
    },
    "mobile": {
        "success_rate": "95%+",
        "cost": "high",
        "notes": "overkill for most Sucuri sites"
    },
}

for Sucuri specifically, datacenter proxies with proper headers often work fine. this makes it one of the cheaper WAFs to scrape past. use the Proxy Cost Calculator to find the most economical option for your use case.

Complete Scraping Pipeline for Sucuri Sites

here’s a production-ready scraper that handles all of Sucuri’s protections:

from curl_cffi import requests
import time
import random
import logging

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger("sucuri_scraper")

class SucuriPipeline:
    def __init__(self, proxies, requests_per_minute=15):
        self.proxies = proxies
        self.current_proxy_idx = 0
        self.rpm = requests_per_minute
        self.session = requests.Session(impersonate="chrome124")
        self.request_count = 0

    def get_proxy(self):
        proxy = self.proxies[self.current_proxy_idx % len(self.proxies)]
        return {"http": proxy, "https": proxy}

    def rotate_proxy(self):
        self.current_proxy_idx += 1
        self.session = requests.Session(impersonate="chrome124")
        logger.info(f"rotated to proxy {self.current_proxy_idx % len(self.proxies)}")

    def fetch(self, url, retries=3):
        for attempt in range(retries):
            proxy = self.get_proxy()
            try:
                response = self.session.get(
                    url,
                    headers={
                        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36",
                        "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
                        "Accept-Language": "en-US,en;q=0.9",
                        "Accept-Encoding": "gzip, deflate, br",
                    },
                    proxies=proxy,
                    timeout=30,
                )

                if response.status_code == 200 and "sucuri" not in response.text[:500].lower():
                    self.request_count += 1
                    return response

                logger.warning(f"attempt {attempt + 1}: status {response.status_code}")
                self.rotate_proxy()
                time.sleep(random.uniform(3, 8))

            except Exception as e:
                logger.error(f"attempt {attempt + 1}: {e}")
                self.rotate_proxy()
                time.sleep(random.uniform(2, 5))

        return None

    def scrape_list(self, urls):
        results = []
        for i, url in enumerate(urls):
            logger.info(f"[{i+1}/{len(urls)}] scraping {url}")
            delay = random.uniform(60.0 / self.rpm * 0.8, 60.0 / self.rpm * 1.5)
            time.sleep(delay)

            result = self.fetch(url)
            if result:
                results.append({"url": url, "html": result.text, "status": 200})
            else:
                results.append({"url": url, "html": None, "status": "failed"})

        return results

# usage
proxies = [
    "http://user:pass@proxy1.com:port",
    "http://user:pass@proxy2.com:port",
    "http://user:pass@proxy3.com:port",
]

pipeline = SucuriPipeline(proxies, requests_per_minute=15)
results = pipeline.scrape_list([
    "https://target-site.com/page-1",
    "https://target-site.com/page-2",
    "https://target-site.com/page-3",
])

successful = sum(1 for r in results if r["status"] == 200)
print(f"scraped {successful}/{len(results)} pages successfully")

Common Mistakes When Scraping Sucuri Sites

1. overcomplicating it – Sucuri is simpler than Cloudflare or DataDome. start with curl_cffi and basic headers before bringing in Playwright.
2. not handling the redirect – Sucuri’s JS challenge redirects after setting a cookie. follow the redirect chain.
3. scraping without cookies – after the challenge is solved, a cookie is set. every subsequent request must include it.
4. ignoring 503 responses – Sucuri returns 503 for its challenge page. don’t treat it as a server error.
5. using mobile proxies unnecessarily – datacenter proxies often work fine for Sucuri. save money and use the Proxy Cost Calculator to find the cheapest option that works.

Summary

Sucuri is one of the more approachable WAFs to bypass when web scraping. its JavaScript challenge is less complex than competitors, and it doesn’t perform deep TLS or browser fingerprinting. for most Sucuri-protected sites:

• start with curl_cffi and proper headers (works for ~60% of sites)
• add residential proxies if datacenter IPs are blocked
• use headless Playwright for sites with stricter JS challenges
• solve the challenge once and reuse cookies for bulk scraping
• keep your request rate under 15-20 per minute per IP

the main advantage of Sucuri for scrapers is that it prioritizes protecting against DDoS attacks and vulnerability exploits rather than specifically targeting scrapers. this means its bot detection is less sophisticated than purpose-built anti-bot solutions, and the techniques above will work reliably for most Sucuri-protected targets.