Security Scan Report: huoyingyinzhe1.pages.dev

Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 4 domains to perform 8 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%E5%85%8D%E8%B4%B9%E5%9C%A8%E7%BA%BF%E8%A7%86%E9%A2%91%EF%BC%8C%E7%B2%BE%E5%BD%A9%E5%BD%B1%E8%A7%86%EF%BC%8C%E7%95%85%E4%BA%AB%E4%B8%8D%E5%81%9C%EF%BC%81

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Anonymous pages.dev tenant with no forms, no Indicators of Compromise and no malware, but unranked and filled with SEO filler promoting adult and gambling content. No concrete malicious signal; moderate risk at most.

Risk Factors (4)
Anonymous free-hosting subdomain with unknown creation date and no accountable operator
Unranked domain with no reputation history in Cisco Umbrella top 1M
Promotes adult content and gambling/betting-style 'online entertainment'
AI-generated, keyword-stuffed SEO filler content with no genuine service
Safety Factors (5)
No credential, login, or payment forms present
No credential exfiltration and no cross-origin script network targets
No Indicators of Compromise, YARA malware hits, or known malicious kit signatures
No brand impersonation — the page promotes only its own '每日大赛吃瓜' name
Third-party scripts load from popular ranked hosts (unpkg.com, hm.baidu.com)
Domain age information unavailable

Details

Page Title

每日大赛吃瓜 -

Scan Type

public

Domain Name Analysis

The domain name 'huoyingyinzhe1.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'huoyingyinzhe1'. Count 5 characters in 'pages' containing 2 vowels alongside 3 consonants. Segmentation suggests one word: pages. Expect five characters per word on average. 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%E5%85%8D%E8%B4%B9%E5%9C%A8%E7%BA%BF%E8%A7%86%E9%A2%91%EF%BC%8C%E7%B2%BE%E5%BD%A9%E5%BD%B1%E8%A7%86%EF%BC%8C%E7%95%85%E4%BA%AB%E4%B8%8D%E5%81%9C%EF%BC%81

Page Load Overview

75.08s
Total Load Time
85 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.
1104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
114.215.183.79China
AS4134Chinanet
1104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1183.240.98.228China
AS56040China Mobile communications corporation
86--

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:bf6b6292963164ca
Difference Hash:0733331e78c68686
Wavelet Hash:818181839fe7e7e3
Color Hash:#d2a679

Scan History

Scan history not available

Unable to load historical scan data