Security Scan Report: cityenglishbook-5wmgo4t7l9.edgeone.app

Submitted: Mar 25, 2026, 11:10:43 AMCompleted: Mar 25, 2026, 11:12:08 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is cityenglishbook-5wmgo4t7l9.edgeone.app and was registered NaN years ago.

Submitted URL: https://cityenglishbook-5wmgo4t7l9.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Site exhibits several suspicious signals (new subdomain, many redirects, heavy JS obfuscation) and is classified as HIGH_RISK.

Risk Factors
New/unknown subdomain on free hosting platform
Low domain reputation ranking
Multiple redirects (7)
Highly obfuscated JavaScript
Payment‑related wording without visible form
Domain age information unavailable

Details

Page Title

City English Book | 旗艦訂閱版

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(51%)

Domain Information

The domain 'cityenglishbook-5wmgo4t7l9.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'cityenglishbook-5wmgo4t7l9'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cityenglishbook-5wmgo4t7l9.edgeone.app/

Page Load Overview

2.98s
Total Load Time
42
HTTP Requests
8
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh-TW
Text Length:3,522 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical51% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
51%
education learning
33%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.250.187.234Singapore
6146.75.121.21Singapore
6216.58.206.46Singapore
643.152.26.58Singapore
6104.17.24.14United States
AS13335Cloudflare, Inc.
6172.64.153.163United States
AS13335Cloudflare, Inc.
6142.251.37.3United States
AS15169Google LLC
427--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5D229236863305099A6D2101BFB7A0D3734E093E4478A5D3F9D08858F5999A1EF7BFD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:zJ7yHoyxVZrE2hgY+6z5Q3Ui3DeeX9Sc4wqfTU4LB6CmJu3495e8+VXX8/A73vb8:z8IypE2hV07DqfMccV+Rsg0XjaiDExqt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30442:EAQGOEQMCTCJJDEKVMiKB4VgBNCijMCmlkVirgBKEEYKDi3YwpQUE6cDCJPAEDjMoNlBghYJEqAAHHGIWLZAEUVyBAiBkysA

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:0018003c3c001000
Perceptual Hash:cff130c9cb6130cb
Difference Hash:d030546961065250
Wavelet Hash:62183c3c3c383830
Color Hash:#1f4893

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data