Security Scan Report: researchstudio.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 11 IPs in 1 country across 5 domains to perform 28 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://researchstudio.pages.dev/tags/%E6%88%AA%E5%B8%A7/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Self-branded Cloudflare Pages personal blog with no forms, no impersonation, and no IoC/hunting rule/Safe-Browsing hits; only weak priors (unranked, shared host) apply, so low risk.

Risk Factors (2)
Subdomain on shared hosting platform (.pages.dev) with unknown actual creation date
Domain not ranked in Cisco Umbrella top 1M (weak prior only)
Safety Factors (4)
Self-branding: title/meta match the site's own domain, no third-party brand impersonation
Zero forms, zero password/payment fields, no credential harvesting
No threat-intel matches, no JavaScript malware patterns, no known malicious kits
Static blog content with standard CDN and font resources
Domain age information unavailable

Details

Page Title

标签: 截帧 - fylResearchStudio

Scan Type

public

Domain Name Analysis

The domain name 'researchstudio.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'researchstudio'. The registrable portion 'pages' spans 5 characters with two vowels and 3 consonants. Tokenizing the label suggests one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

BE =m of oO of Tags About Demo Og000CookieDOONON00 oom w/o coonn0, 0000: @ Harvard Mathematics Department 0 0 m 49 15 34 | bitibiti Bibi cor Google (eseon youtube youlubecom 600m 6b mm 1s0000...

Page Load Overview

1.20s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:zh
Text Length:2,180 chars
Detector Agreement:25%

Website Classification

Primary Category

technology software95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
95%
documentation technical
84%
education learning
59%
blog personal website
46%
news/blog
35%

Detected Features

Articles
OG: blog
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
2151.101.129.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2151.101.1.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
2811--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F651C1B75500D80D6B7490AABC67B028C137944F85B89AF2F6F704AA55F07F850FFA16

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Fyrt8cW+WBkbBre9sbP3iz8GlSyNeiVL2:FyrtlmCHrUHSygiVL2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2456:AABAIAAAAAAQABEEEAiAEgAAigIAAsAAgIwAkAAAEMAAAhAEAAAgQAAMAUACEggQAAAgoAEAAAQigEEAAAAAIAAiCAAQACUA

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:9f9ebe9effffff3f
Perceptual Hash:9e3e0aff01e1c1e1
Difference Hash:24283a24c48404c4
Wavelet Hash:bf1e6e066666c606
Color Hash:N/A

Other Hashes

Crop Resistant:24283a24c48404c4

Scan History

Scan history not available

Unable to load historical scan data