Security Scan Report: cloudflare-country-specific-ip-filter-9oo.pages.dev

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https://cloudflare-country-specific-ip-filter-9oo.pages.dev/
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Submitted: Sep 3, 2026, 9:05:55 AMCompleted: Sep 3, 2026, 9:07:03 AMpubliccompleted

Summary

This website contacted 13 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is cloudflare-country-specific-ip-filter-9oo.pages.dev and was registered 18 years ago.

Submitted URL: http://cloudflare-country-specific-ip-filter-9oo.pages.dev/

Effective URL: https://cloudflare-country-specific-ip-filter-9oo.pages.dev/Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page shows no malicious content, forms, or brand impersonation; risk is low.

Safety Factors
Absence of forms or credential harvesting
No malicious JavaScript or external exfiltration observed
Page content appears to be a legitimate utility (Cloudflare IP filter)
Domain age information unavailable

Details

Page Title

Cloudflare Country-Specific IP Filter

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(72%)

Domain Information

The domain name 'cloudflare-country-specific-ip-filter-9oo.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'cloudflare-country-specific-ip-filter-9oo'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside three consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.tailwindcss.com

Page Load Overview

1.44s
Total Load Time
17
HTTP Requests
8
Domains
240 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:803 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
59%
cryptocurrency blockchain
58%
adult content
46%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1140.82.121.4Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.16.123.96Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1713--

Page Statistics

17
Requests
8
Unique Domains
479.8 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160E0C6834CF0C8082A609384BCE1F22C4C96448AAF868E807CC7102B5FA8BF78C83108

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqds7YvfAbpli7vks/RJgLB3Q2jLKLM//qMYHvjVvVuB9d:hrsjy7rr2tqnLhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:6126c679c5ccbe6bf7a00c72c7e8ed6e

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:3edae6e2e6e7c7ff
Perceptual Hash:95158f8f87078727
Difference Hash:723246060604044c
Wavelet Hash:3ed8e4c0c0e5c1fd
Color Hash:#2d6286

Other Hashes

Crop Resistant:723246060604044c

Scan History

Scan history not available

Unable to load historical scan data