Security Scan Report: embarrassing-moccasin-9xmriy1jjy-fn51ci9qew.edgeone.app

Submitted: Feb 3, 2026, 3:06:40 AMCompleted: Feb 3, 2026, 3:07:56 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is embarrassing-moccasin-9xmriy1jjy-fn51ci9qew.edgeone.app and was registered NaN years ago.

Submitted URL: https://embarrassing-moccasin-9xmriy1jjy-fn51ci9qew.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 security concerns detected; the site appears legitimate.

Safety Factors
Established domain (>365 days)
No credential or payment collection fields
No malicious Indicators of Compromise
Low ranking does not imply brand impersonation
Domain age information unavailable

Details

Page Title

Will You Be My Valentine, Upasana? πŸ’—πŸΏοΈ

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'embarrassing-moccasin-9xmriy1jjy-fn51ci9qew.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'embarrassing-moccasin-9xmriy1jjy-fn51ci9qew'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Word splitting yields 2 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://embarrassing-moccasin-9xmriy1jjy-fn51ci9qew.edgeone.app/

Page Load Overview

3.79s
Total Load Time
4
HTTP Requests
2
Domains
170 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:482 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.25.14Singapore
243.152.26.58Singapore
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCD2C71A7AA31014694BA17A7FAB334025344107E506CC2D77AFA3849FC667C7BA7BF4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:p9R5tDCB+FcKFyIdkhT7aV5KfTEdIk8H7:p9R5VCBAFyI+GUTE8b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28813:nxCBBSI8MwQBmESGoHJEQYIhKwQgYCigmcQUASW2IBiFO8zCKQ3hDkIGYoS0Q2hEABMQqb5WKj8lAhvMaHYJEjLJDELlmMoA

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:c3c3ffffffc3c3c3
Perceptual Hash:a5cd3064ccb37cd8
Difference Hash:8e8e222ab28e8f97
Wavelet Hash:03033f7b7b03c3c3
Color Hash:#8fd279

Other Hashes

Crop Resistant:8e8e222ab28e8f97

Scan History

Scan history not available

Unable to load historical scan data