IP purity detection technology: from blacklist scanning to behavioral fingerprinting

This article systematically disassembles the core technical path of IP purity detection, covering dimensions such as protocol layer feature analysis, blacklist library comparison, and behavior pattern verification, and provides engineering detection solutions and optimization strategies.

Core criteria for determining IP purity

Blacklist status

Check whether the IP is included in mainstream anti-spam databases such as Spamhaus and Barracuda

Verify the DNS Black Hole List (DNSBL) status. It is recommended to use the batch query interface of mxtoolbox.com

Protocol layer exposure features

Does the TLS fingerprint match the real browser (such as the JA3 hash of Chrome 120+)

Are the TCP/IP protocol stack parameters (such as TTL value, window size) consistent with the residential network characteristics?

Abnormal behavior patterns

High-frequency request characteristics (such as QPS>10 may trigger risk control)

Does the traffic time distribution conform to the Poisson distribution (real user behavior model)?

Engineering testing solutions and tool chains

Blacklist scanning technology

Online testing platform:

IPQS (ipqualityscore.com): Provides IP reputation score (0-100) and proxy type identification

BrightData Inspector: Returns the IP's geographic location, ASN, and historical abuse records in real time

Command line tools:

# Use curl to check Cloudflare protection status

curl -I https://example.com --proxy http://IP:PORT

# Check if the CF-RAY field in the response header exists

In-depth analysis of protocol fingerprints

TLS fingerprint detection:

Use the JARM tool (Python version) to scan the encryption suite characteristics of the target IP:

from jarm.scanner import Scanner

scanner = Scanner()

result = scanner.scan("1.1.1.1", 443)

print(result.fingerprint) # Output JARM fingerprint similar to "2ad2ad0002ad2ad..."

TCP/IP parameter verification:

Through Wireshark packet capture analysis:

TTL value: Residential networks usually have a value of 64 (Linux) or 128 (Windows)

TCP Window Scaling Factor: Proxy servers may disable this feature

Simulate request verification

Browser Automation Testing:

Use Selenium + Undetected-Chromedriver to initiate a request to detect whether the verification code is triggered:

from selenium import webdriver

options = webdriver.ChromeOptions()

options.add_argument('--proxy-server=socks5://IP:PORT')

driver = webdriver.Chrome(options=options)

driver.get("https://whatismyipaddress.com") # Verify whether the IP is exposed

IP2world pure IP technology guarantee

Real-time blacklist monitoring system

Connect to 27 major anti-fraud databases around the world and update IP reputation scores every hour

Automatically isolate IPs with a score < 85, and replace them with a response time < 5 minutes

Protocol stack camouflage technology

Dynamically adjust the TTL value to the 64/128 range to simulate the characteristics of the real operating system

Support WebRTC blocking and Canvas fingerprint randomization

Behavioral Pattern Optimization Engine

Request interval control: Use the Poisson distribution algorithm with λ=1.2 to generate the request sequence

Traffic mixing strategy: Mix business traffic and simulated browsing behavior in a ratio of 3:7

Typical problem solutions

Scenario 1: IP is blocked by the target website

Perform a JARM scan. If the fingerprint deviates from the real browser by >40%, enable IP2world's dynamic TLS fingerprinting feature.

Get real-time replacement suggestions through IP2world's "IP Health API":

import requests

health = requests.get(f"https://api.ip2world.com/health?ip={YOUR_IP}&key=API_KEY").json()

if health["score"] < 90:

activate_new_ip() # trigger automatic change

Scenario 2: Triggering Cloudflare human-machine verification

Use Selenium to simulate real mouse trajectory (Bezier curve algorithm)

Enable the "Residential IP + Fingerprint Browser" package in the IP2world console

Scenario 3: The API returns a 403 error

Check if X-Forwarded-For in HTTP header leaks real IP

Switch to IP2world's HTTPS proxy and force the HTTP/2 protocol to be enabled

Optimization suggestions:

Prioritize IP2world's static residential proxy (purity score>95)

Run the automated detection script periodically (recommended every 6 hours)

For high-value services, configure IP2world's dual-channel disaster recovery solution (automatic switching of primary IP + backup IP)

If you need to obtain the latest IP detection rule library or encounter complex blocking scenarios, it is recommended to turn on the [Online Search] function. The system will synchronize the latest anti-detection countermeasures in real time.

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