Security Scan Report: gentle-finch-910d-07144830.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 58 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://gentle-finch-910d-07144830.pages.dev/zh-tw

AI Security Verdict

Low Risk

Confidence: 60%

3
Risk Score

Cloudflare-branded speed-test page on an unranked random pages.dev subdomain of unknown age. No forms, no credential capture, no threat-intel or malware hits; brand mismatch alone warrants caution, not a scam verdict.

Risk Factors (3)
Brand-name mismatch: Cloudflare-branded content on a non-Cloudflare hostname
Unknown-age subdomain on a shared hosting platform (content could have been deployed moments ago)
Domain not present in Cisco Umbrella top 1M ranking
Safety Factors (6)
No forms of any kind, so no credentials or payment data can be collected on this page
No Indicators of Compromise, YARA malware matches, Safe Browsing hits, or known phishing-kit signatures
No obfuscated or exfiltrating JavaScript behaviour detected; only challenges.cloudflare.com referenced externally
Content is a functional speed-test page with privacy disclosures and no urgent or luring language
Cloudflare Pages is Cloudflare's own platform, so a legitimate Cloudflare deployment on pages.dev is plausible
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

網際網路測速 - 測量網路效能 | Cloudflare

Scan Type

public

Domain Name Analysis

You're looking at domain 'gentle-finch-910d-07144830.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'gentle-finch-910d-07144830'. The second-level label 'pages' is 5 characters long split between 2 vowels and 3 consonants. Breaking it apart gives 1 word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gentle-finch-910d-07144830.pages.dev/zh-tw

Page Load Overview

1.44s
Total Load Time
546 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:zh-TW
Text Length:947 chars
Detector Agreement:50%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
14104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
584--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF83C873C19261D9649BCFC862A4631C321AB205F0B644F4AB796E66ECC7DF325F4988

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9ikypOJpQIG8AkRJAmVcccccccccccccccccccc77777777766ZZZZZZZZggfffB:9bkmVcccccccccccccccccccc777777B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82026:2ohaDCUDKaFQeX8Q0QAgDgsMhW0IIgMQOBiVILECAAoocCVpJRi2oAcIjxQEkBDE0yZklFBAMLQR9XALBlJCoTJtBKoBRAg0

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:8983c18183fbfffd
Perceptual Hash:bb3f8e853b304b84
Difference Hash:71761b1b16230041
Wavelet Hash:8183818183fbffb9
Color Hash:#40acbf

Other Hashes

Crop Resistant:71761b1b16230041

Scan History

Scan history not available

Unable to load historical scan data