Security Scan Report: unhappy-lime-jlsxwaftmf-84vaddcy4f.edgeone.app

Submitted: Feb 15, 2026, 12:05:39 AMCompleted: Feb 15, 2026, 12:07:11 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-jlsxwaftmf-84vaddcy4f.edgeone.app and was registered NaN years ago.

Submitted URL: https://unhappy-lime-jlsxwaftmf-84vaddcy4f.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
Established domain (>365 days)
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

unhappy-lime-jlsxwaftmf-84vaddcy4f.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

Domain 'unhappy-lime-jlsxwaftmf-84vaddcy4f.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'unhappy-lime-jlsxwaftmf-84vaddcy4f'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Splitting it apart reveals two 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-jlsxwaftmf-84vaddcy4f.edgeone.app/

Page Load Overview

8.07s
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:834 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
38%
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

T1E1048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszQ2bMy8OldS:YhoC9JSqzzbs6o3Sj3gcrsc2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184621:UihCf5IUxQAxrgPANkJh0BBAqFBQpKE6ZDWSaExIAsAYtCQhCQIzUM8BCCwSg2ipDCwggOC0YLRQgP4EIIoRckxPkS0AgqIw

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:3f1f03070f0f0f0f
Color Hash:#53a2ac

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data