Security Scan Report: legitimate-magenta-logu2fffib-xyhjowwhj5.edgeone.app

Submitted: Mar 11, 2026, 4:09:02 AMCompleted: Mar 11, 2026, 4:10:39 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 8 HTTP transactions. The main domain is legitimate-magenta-logu2fffib-xyhjowwhj5.edgeone.app and was registered NaN years ago.

Submitted URL: https://legitimate-magenta-logu2fffib-xyhjowwhj5.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

New gambling site on an unknown subdomain; low to moderate risk, no obvious malicious activity.

Risk Factors
New subdomain on a free hosting platform (unknown age)
Domain is brand‑new (0 days old) – typical of phishing/gambling scams
Safety Factors
No malicious Indicators of Compromise detected
No credential or payment forms present
No JavaScript malware patterns matched
No network IDS alerts
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Aviator Boom

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

Domain 'legitimate-magenta-logu2fffib-xyhjowwhj5.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'legitimate-magenta-logu2fffib-xyhjowwhj5'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Tokenizing the label suggests 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://legitimate-magenta-logu2fffib-xyhjowwhj5.edgeone.app/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:852 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
42%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.58.206.33Singapore
043.152.26.58Singapore
0172.217.16.163Singapore
0192.163.208.117Singapore
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE22F9A762F22830AD67D0D535A36B1A3068C103FE47C4589BBD44B86FCBEDBA01765D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:fN196qT6GNAjzPSIwM07kEl8k8Qwyth/wTiFycXxycmyCaoicVi7snoij:f/9qEAXS6QSkIyth4T8yexytioicVi7Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10014:yMGKEntAZFSsUEChUIZQSKAGMAYQUA4hEAjIyEBKUhEDI0ZDoQEAgAwViEkDnLmnCAkAyDEgQtCDECH2gMzsWqCAQqEMY6AA

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:000000da3ce70000
Perceptual Hash:dc2923dccc23738e
Difference Hash:11900832322a9000
Wavelet Hash:000000ffffffff00
Color Hash:#2d867b

Other Hashes

Scan History

Scan history not available

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