Security Scan Report: fred-city-4kv39tg5d7.edgeone.app

Submitted: Mar 3, 2026, 5:00:30 AMCompleted: Mar 3, 2026, 5:01:52 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is fred-city-4kv39tg5d7.edgeone.app and was registered NaN years ago.

Submitted URL: https://fred-city-4kv39tg5d7.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No security concerns detected; the site appears to be a simple game launch page with low risk.

Risk Factors
New subdomain on edgeone.app with unknown creation date (potential phishing indicator)
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a known development platform (edgeone.app)
Domain age information unavailable

Details

Page Title

Launch Game - Fred City

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(39%)

Domain Information

The domain 'fred-city-4kv39tg5d7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'fred-city-4kv39tg5d7'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fred-city-4kv39tg5d7.edgeone.app/

Page Load Overview

0.70s
Total Load Time
3
HTTP Requests
2
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:104 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media39% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
39%
government public service
28%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.58.206.42United States
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1338171619EE30213761790397BABB6166315C00FD78ADED83E8DA34C8FC5264C896BDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TDVOa2HM0oRrLzz7AMq1JFIV8S6cmSzFoiO:fVBGsRX7AMq1JWxtzFoiO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4108:hCQKBSAQABqEAAAAAwiYABABBABxghERBJCAEgCAhIAAAAAAEAEghQMhCJEBAAAIElAkBgACxAgAEApAJAAUFAEAAAJAEAEg

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:000000181a050103
Perceptual Hash:891a331e9c2677d9
Difference Hash:a8518db2324d918a
Wavelet Hash:0303031f1f073f3f
Color Hash:#d2932d

Other Hashes

Scan History

Scan history not available

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