Security Scan Report: cnblogtcip.pages.dev

Submitted: Apr 12, 2026, 10:46:39 AMCompleted: Apr 12, 2026, 10:48:04 AMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 3 countries across 14 domains to perform 60 HTTP transactions. The main domain is cnblogtcip.pages.dev and was registered NaN years ago.

Submitted URL: https://cnblogtcip.pages.dev/2024/11/05/Cloudflare%E4%BD%BF%E7%94%A8api%E6%9B%B4%E6%8D%A2%E8%AF%81%E4%B9%A6%E9%A2%81%E5%8F%91%E6%9C%BA%E6%9E%84/

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site is a newly created, unranked blog page with heavily obfuscated JavaScript and a medium IDS alert, but lacks phishing forms or brand impersonation, resulting in moderate risk.

Risk Factors
Unranked domain reputation (not in Cisco Umbrella top 1M)
Subdomain age unknown – could be newly created
High JavaScript obfuscation score
Medium IDS alert indicating possible malicious payload
Safety Factors
No login, credential, or payment forms
Page classified as an article; brand mentions are informational
No Indicators of Compromise matched in threat intelligence
No JavaScript malware YARA patterns detected
Domain age information unavailable

Details

Page Title

Cloudflare使用api更换证书颁发机构 | TCIP的窝窝

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

technology software

(81%)

Domain Information

You're looking at domain 'cnblogtcip.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'cnblogtcip'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus 3 consonants. It segments into 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cnblogtcip.pages.dev/2024/11/05/Cloudflare%E4%BD%BF%E7%94%A8api%E6%9B%B4%E6%8D%A2%E8%AF%81%E4%B9%A6%E9%A2%81%E5%8F%91%E6%9C%BA%E6%9E%84/

Page Load Overview

6.86s
Total Load Time
60
HTTP Requests
14
Domains
387 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:5,288 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software81% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
81%
documentation technical
73%
blog personal website
61%
cryptocurrency blockchain
56%
government public service
52%

Detected Features

Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
618.245.31.95United States
AS16509Amazon.com, Inc.
6104.243.17.131Los Angeles, California, United States
AS25820IT7 Networks Inc
6104.21.63.38United States
AS13335Cloudflare, Inc.
6104.21.53.61Hong Kong
6155.102.51.7China
6188.114.96.3United States
AS13335Cloudflare, Inc.
6163.181.225.45Unknown
6101.226.26.43UnknownUnknown
6155.117.85.138UnknownUnknown
643.174.246.31UnknownUnknown
6010--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A20429B14392183F1613C9DCB4A2B72836D1019FCE5A5AA4B7FC42B81FC5E7168DB687

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EzzzvS2zWo0VuzT29gxU7XLlpAOaHN5Lg:Ezy26nun29gxSpAOU5Lg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:181034:APIEaHICJiuw1YBAoQpUAQJWKJlAG0gAniBhQBB4mkRMCxA4jKgBGhJACS1QDolQhkzUFZhECCZECNHEBEp0IanBAFY0iACA

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:00000000fdfdfdff
Perceptual Hash:cb3434cbb41469eb
Difference Hash:b7c9c1782b2bebeb
Wavelet Hash:00000008fffdffff
Color Hash:#441f93

Scan History

Scan history not available

Unable to load historical scan data