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Security Scan Report: ucaihong.pages.dev

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/8de6b269-fd9f-4205-b211-336993f21868Domain and IP registration (RDAP)/api/v1/rdap/8de6b269-fd9f-4205-b211-336993f21868How often this domain was scanned/api/v1/domain/stats/ucaihong.pages.devScan history for this domain/api/v1/domain/history/ucaihong.pages.dev?limit=15
This website contacted 26 IPs in 4 countries across 25 domains to perform 106 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://ucaihong.pages.dev/home/info-men-half-of-female-accept-staying-single/

AI Security Verdict

Safe Website

Confidence: 85%

2
Risk Score

The page appears to be a legitimate informational article with no malicious indicators.

Safety Factors (3)
Content is informational article about social survey data
Search form submits to Google without collecting credentials
No suspicious JavaScript behavior beyond benign eval/function usage
Domain age information unavailable

Details

Page Title

能接受单身终老的男性是女性人数的一半 - 彩虹网 | 彩虹INFO - 彩虹门户 彩虹之家

Scan Type

public

Domain Name Analysis

You're looking at domain 'ucaihong.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'ucaihong'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ucaihong.pages.dev/home/info-men-half-of-female-accept-staying-single/

Page Load Overview

4.08s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:zh-cn
Text Length:1,017 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
89%
adult content
87%
government public service
84%
healthcare medical
84%
news media journalism
82%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.209.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.13.156Google · CDNUnited States
AS15169Google LLC
4142.251.14.97Google · CDNUnited States
AS15169Google LLC
4143.204.181.23Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4146.75.120.134Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4142.251.14.154Google · CDNUnited States
AS15169Google LLC
4185.89.210.153Frankfurt am Main, Hesse, Germany
AS29990Xandr Inc.
4104.21.23.164Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10626--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11071546FB1D1D84646B6A365069AF24CE23A821AE435CC21FA9E01CF1FD1B54C1E3D25

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:3E78qll+BalUWS6zCu6kpaYg3mXzKBSzKiXrXE:3E78/BXWS6zCgg3mXzKBVErXE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3723:CAAIAAAAlgA+IIIBASAIgggElQiEEAgIAAUAJAQAGAAQMgIBAAQoCDggaQADAIAEGiogGBCABAAACAAAACABeAQAAQBAACAB

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:ff00ffffdffffbbf
Perceptual Hash:bc130ec0bce49ddc
Difference Hash:202c321636322626
Wavelet Hash:ff009e8383979393
Color Hash:#866d2d

Other Hashes

Crop Resistant:202c321636322626,0111c9c9c9410101

Scan History

Scan history not available

Unable to load historical scan data