Security Scan Report: ill-green-omhdm7fdkm-2vh9acjy9l.edgeone.app

Submitted: Feb 10, 2026, 9:56:27 AMCompleted: Feb 10, 2026, 9:58:00 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 ill-green-omhdm7fdkm-2vh9acjy9l.edgeone.app and was registered NaN years ago.

Submitted URL: https://ill-green-omhdm7fdkm-2vh9acjy9l.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 (>2 years old)
No credential or payment collection fields
No malicious Indicators of Compromise or JavaScript malware detected
Domain age information unavailable

Details

Page Title

ill-green-omhdm7fdkm-2vh9acjy9l.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

The domain 'ill-green-omhdm7fdkm-2vh9acjy9l.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ill-green-omhdm7fdkm-2vh9acjy9l'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ill-green-omhdm7fdkm-2vh9acjy9l.edgeone.app/

Page Load Overview

8.10s
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:825 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
41%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Olda:6hoC9JSqzzbs6o3Sj3gcrsK2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184606:2BAPCkk62kBBwUEUyiuBlaEYQbIikWM5ML6IQIBQLICEYIAQE4EgA4sCGQBFXcKAoZApw4QRApE1HhQcNL6AQIaCAJRTQitT

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:ffdfc3c700000000
Color Hash:#d2ac2d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data