Security Scan Report: unhappy-lime-hzbmo49fhe-ro7k0dbksd.edgeone.app

Submitted: Nov 27, 2025, 12:25:07 AMCompleted: Nov 27, 2025, 12:28:04 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 unhappy-lime-hzbmo49fhe-ro7k0dbksd.edgeone.app.

Submitted URL: https://unhappy-lime-hzbmo49fhe-ro7k0dbksd.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: 85%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Low ranking does not indicate phishing without brand impersonation or data collection
No external links or redirects
No hidden or disguised password fields
Domain age information unavailable

Details

Page Title

About Me

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(93%)

Domain Information

The domain name 'unhappy-lime-hzbmo49fhe-ro7k0dbksd.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'unhappy-lime-hzbmo49fhe-ro7k0dbksd'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Segmentation suggests 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://unhappy-lime-hzbmo49fhe-ro7k0dbksd.edgeone.app/

Page Load Overview

0.36s
Total Load Time
3
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:434 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software93% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
93%
e-commerce shopping
51%
documentation technical
35%
adult content
32%
corporate business
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B82186338CF12905109451811D83F814AFC5003F3D117D01B5FC25BA5F45D05C2BBD75

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRjC2+XfVUM8hh/dzWyJw4P61vjmCxjs7svj6nis8Vj:TGfVUMSx5WyJw4P6tjmCls7smnisA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1226:AAAAAAAAAAAAAABABAhAAAAAAAAAAAAAAAAAACAAAAAoAAAAAAQACAAACAAMQCEAAAEAAAAigAAAIAAAAAAgIAAAgAgQgAAA

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:000000ffffffff00
Perceptual Hash:8b7c2a958bc57a62
Difference Hash:31b10dd2dad8c269
Wavelet Hash:000000ffffffff00
Color Hash:#e06c9e

Scan History

Scan history not available

Unable to load historical scan data