Security Scan Report: fred-city-4ni1wqw684.edgeone.app

Submitted: Feb 28, 2026, 7:20:21 PMCompleted: Feb 28, 2026, 7:21:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is fred-city-4ni1wqw684.edgeone.app and was registered NaN years ago.

Submitted URL: https://fred-city-4ni1wqw684.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection
No malicious Indicators of Compromise
Low JavaScript obfuscation (standard minification)
No redirects or external links
Simple static content ("Welcome to Fred city")
Domain age information unavailable

Details

Page Title

Launch Game

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(35%)

Domain Information

Within the application-focused generic top-level domain (.app), 'fred-city-4ni1wqw684.edgeone.app' is registered; it also runs on subdomain 'fred-city-4ni1wqw684'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fred-city-4ni1wqw684.edgeone.app/

Page Load Overview

0.69s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:90 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media35% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B16196218DD702836227A035776BB4127121C11FD78AEED93E8D930C5FC6278C9A73E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TNnaB8H9aaZgNKazoJIqmLJVSiKUZlx2ijVI7yS7S7s:TBa2HU+g9oJpmF8iKc2ijVYySuo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3185:EAAARAAgAAAQAAAAAIiAAMWDoQYQCAqAARgQiEgAAAAAABABA4ABSAEAA5AAAIAggABKBAASwAAAAIwAQAAAACAAAAgBAwCK

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:ffefff8787ffefff
Perceptual Hash:b38ccc3333cccc33
Difference Hash:0008700808700800
Wavelet Hash:30303004c4ccf0f0
Color Hash:#3e931f

Other Hashes

Crop Resistant:0008700808700800

Scan History

Scan history not available

Unable to load historical scan data