Security Scan Report: alumni-map-app.pages.dev

Redirected to: https://alumni-map-app.pages.dev/

Submitted: Nov 16, 2025, 6:35:30 AMCompleted: Nov 16, 2025, 6:37:16 AMpubliccompleted
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Summary

This website contacted 4 IPs in 0 countries across 1 domain to perform 7 HTTP transactions. The main domain is alumni-map-app.pages.dev.

Submitted URL: http://alumni-map-app.pages.dev/

Effective URL: https://alumni-map-app.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
No suspicious indicators detected
Domain not listed in threat intelligence databases
Absence of login or payment collection forms
Domain age information unavailable

Details

Page Title

南中一班20周年聚会校友地图册

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

education learning

(52%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'alumni-map-app.pages.dev' is registered with subdomain 'alumni-map-app'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. Breaking it apart gives 1 word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://alumni-map-app.pages.dev/

Page Load Overview

47.16s
Total Load Time
7
HTTP Requests
1
Domains
51 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:en
Text Length:55 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as zh

Website Classification

Primary Category

education learning52% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
52%
forum community discussion
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.66.44.53UnknownUnknown
1172.66.47.203UnknownUnknown
12606:4700:310c::ac42:2fcbUnknownUnknown
12606:4700:310c::ac42:2c35UnknownUnknown
74--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D51AD629C5919279503D8D064B1EBDD3AB2DB1DC90F91028FAD07D20FEBC71A8BD4E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nWvCjCc5KWjV87EonmOiEYpibis46W4qgdXmG/OlwwCBBk8xmxmuxmuxmumlwL1y:nYc5g7LnNYYiOXlEavOZjF1ol

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2887:QIQhgwAAAEAAAQIAAAABAAEIAABCqAsAAIJkAAgBQQAgABBDAJQACAggAAgkAwBAABwAgHAAAYAAAwIRAAEAAAAEQAAAAgEC

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:0000ffffff000000
Perceptual Hash:85857a7a8585f7d0
Difference Hash:4811aa80a2020080
Wavelet Hash:0000ffffffff0000
Color Hash:#38d22d

Scan History

Scan history not available

Unable to load historical scan data