Security Scan Report: huoyingyinzhe1.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://huoyingyinzhe1.pages.dev/%E6%AF%8F%E6%97%A5%E5%A4%A7%E8%B5%9B%E5%90%83%E7%93%9C%20-%20%E9%A2%86%E5%A4%B4%E7%BE%8A%E5%AF%BC%E8%88%AAavbobo%E6%AD%A3%E5%9C%A8%E8%B7%B3%E8%BD%AC%E8%BF%9B%E5%85%A5%EF%BC%81

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

No phishing, forms, impersonation or malware signals; page is a keyword-stuffed Chinese adult/gambling link hub on an unranked Cloudflare Pages subdomain. Low-confidence risk, use with caution.

Risk Factors (2)
Unranked domain on shared Cloudflare Pages hosting where the page could have been created moments ago
Keyword-stuffed, low-value SEO content that funnels users toward adult and gambling destinations
Safety Factors (4)
No credential, login or payment form exists on the page (verified form facts: 0 forms)
No brand impersonation — the site promotes only its own generic '每日大赛吃瓜' label
No Indicators of Compromise, no JavaScript YARA malware, no vetted malicious kit
Cross-origin JS network targets: 0; no credential exfiltration detected
Domain age information unavailable

Details

Page Title

每日大赛吃瓜 -

Scan Type

public

Domain Name Analysis

The domain 'huoyingyinzhe1.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'huoyingyinzhe1'. Count 5 characters in 'pages' with two vowels and three consonants. Word splitting yields one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://huoyingyinzhe1.pages.dev/%E6%AF%8F%E6%97%A5%E5%A4%A7%E8%B5%9B%E5%90%83%E7%93%9C%20-%20%E9%A2%86%E5%A4%B4%E7%BE%8A%E5%AF%BC%E8%88%AAavbobo%E6%AD%A3%E5%9C%A8%E8%B7%B3%E8%BD%AC%E8%BF%9B%E5%85%A5%EF%BC%81

Page Load Overview

75.08s
Total Load Time
96 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:zh-CN
Text Length:2,854 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media100% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
100%
adult content
99%
social media network
86%
news media journalism
72%
technology software
71%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1111.45.11.83China
AS9808China Mobile Communications Group Co., Ltd.
1104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
114.215.182.140China
AS4134Chinanet
1111.45.3.198China
AS9808China Mobile Communications Group Co., Ltd.
97--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139D2F97562F838470117C3CCA7725B691ED5E8ABD02A064FFA5D0A85EF86DD3C907A0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:hpIM7r/i3JTz/AsAhdNwhVRW7fjZJ+nIs+sdF0nR00YARoMsJS6oNWEB1oUCnWQ4:rKYDudAtRXffozPq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30011:DBUF00FAGiIAFkEiIB2MuBxQAroAFGA2jgzECwII3MAoMjN4GIgKEICkpc0KGg7BoUhQmJAOaRgKCQOACD4WAGyCROAaEdOY

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:818181879ff7e7f7
Perceptual Hash:bf6b60939631c4ca
Difference Hash:0733333e78ce9686
Wavelet Hash:818181839fe7e7e3
Color Hash:#c3c587

Scan History

Scan history not available

Unable to load historical scan data