Security Scan Report: busy-silver-gmkxlkih7h-y5tmempn0q.edgeone.app

Submitted: Feb 14, 2026, 5:54:46 AMCompleted: Feb 14, 2026, 5:56:06 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is busy-silver-gmkxlkih7h-y5tmempn0q.edgeone.app and was registered NaN years ago.

Submitted URL: https://busy-silver-gmkxlkih7h-y5tmempn0q.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (over 2.5 years old)
No credential or payment collection forms
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
Low ranking but age and lack of threats indicate low risk
Domain age information unavailable

Details

Page Title

busy-silver-gmkxlkih7h-y5tmempn0q.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(45%)

Domain Information

The domain name 'busy-silver-gmkxlkih7h-y5tmempn0q.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'busy-silver-gmkxlkih7h-y5tmempn0q'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://busy-silver-gmkxlkih7h-y5tmempn0q.edgeone.app/

Page Load Overview

5.36s
Total Load Time
11
HTTP Requests
4
Domains
242 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:3,669 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.152.26.58Singapore
111--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130048F77329A063986558498F05B83099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszc2bMy8OldE:3hoC9JSqzzbs6o3Sj3gcrs42eAq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184616:RhmECFEwIUg6iRBleJYEBRAZaNAQMkAKQgkQRkELABwmBHwgAoOHzVUBYRJ4ZqMjgxCgWRLAIMQwCRSoQALQFgKhyKE9GQ4g

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f0307f0f0f0f0
Color Hash:#2dd29e

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data