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Security Scan Report: embarrassed-blush-jua88ier4u-dcfe95gvx3.edgeone.app

Submitted: Feb 3, 2026, 8:38:49 PMCompleted: Feb 3, 2026, 8:41:52 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is embarrassed-blush-jua88ier4u-dcfe95gvx3.edgeone.app and was registered NaN years ago.

Submitted URL: https://embarrassed-blush-jua88ier4u-dcfe95gvx3.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 suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>365 days)
No credential or payment forms
No external links or redirects
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

Navya 🌙

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Within the application-focused generic top-level domain (.app), 'embarrassed-blush-jua88ier4u-dcfe95gvx3.edgeone.app' is registered with subdomain 'embarrassed-blush-jua88ier4u-dcfe95gvx3'. The core label 'edgeone' covers 7 characters with 4 vowels and 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://embarrassed-blush-jua88ier4u-dcfe95gvx3.edgeone.app/

Page Load Overview

30.11s
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:849 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
69%
adult content
49%
documentation technical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.64.147.160Singapore
AS139341
0146.75.120.193Singapore
AS139341
081.169.145.157Singapore
AS139341
043.152.26.58Singapore
AS139341ACE
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DA195E080A5103650B7C1A138A69FCE74E5C006FE1FCA99BAFDA1D6DFC598B501B39C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TuKCOcJPYuvIMCkjrjsAn2FDWAzu6qd+S5pPtInqmcglyVqy7wn:sDpYUIDkjrY+AyP+Yp+qmPlyVqy7wn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4796:CpCDJwACgAgAAEBQCwJQFQAMyEgCAABAAGDDZgUgCwyBhwRAARAAIEAQJgAAACAqgBRwEEhRAhAgDwwUBQQRAACAoQAAoAoA

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:0000001818000000
Perceptual Hash:cc66729999666699
Difference Hash:00100c32320c1000
Wavelet Hash:00001c1c3c2c0000
Color Hash:#c8d279

Other Hashes

Crop Resistant:00100c32320c1000

Scan History

Scan history not available

Unable to load historical scan data