Security Scan Report: jealous-rose-wfcdmjb1do-vaqexzjebc.edgeone.app

Submitted: Mar 9, 2026, 11:51:44 AMCompleted: Mar 9, 2026, 11:53:18 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is jealous-rose-wfcdmjb1do-vaqexzjebc.edgeone.app and was registered NaN years ago.

Submitted URL: https://jealous-rose-wfcdmjb1do-vaqexzjebc.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: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No malicious Indicators of Compromise
No credential or payment forms
No JavaScript malware or obfuscation indicative of threats
No cross‑origin credential exfiltration
Hosted on edgeone.app, a legitimate hosting platform
Domain age information unavailable

Details

Page Title

Happy Holi Lakshmi Siva Kumari 🎨💖

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

The domain name 'jealous-rose-wfcdmjb1do-vaqexzjebc.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'jealous-rose-wfcdmjb1do-vaqexzjebc'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Tokenizing the label 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://jealous-rose-wfcdmjb1do-vaqexzjebc.edgeone.app/

Page Load Overview

8.20s
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:67%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
documentation technical
44%
adult content
40%

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

T11A81C7A6E6032422D0BF10A17DF2D7D738A89105FE0B8D6D04EE618A53DED95843A3AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:bl4OzQvaTA9Un7vixvj6vvBpT06U6bxGISfBGSs1zSGK+DGwW4IGJRGGiFM3XIko:NFA9U7vnpVT30yWXFwnrQVyXwJEyjz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4097:AAiIIAkhohAEAAEBAEK1IKkAEAAAEAAABAAQQACGRIEIgBUUUAEgAABEIIEwAAkAISAACiGCAAGSgEgyQkRAAQAAQgCNakBS

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:f0f8e4e4e4e4feff
Perceptual Hash:e67b996623992661
Difference Hash:00000c4cccccc0c0
Wavelet Hash:e0e0e0e0e0e4fcfe
Color Hash:#7b862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data