Security Scan Report: smiling-copper-yoctwdiytg-jr7uabmv3v.edgeone.app

Submitted: Feb 28, 2026, 5:06:22 PMCompleted: Feb 28, 2026, 5:08:04 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is smiling-copper-yoctwdiytg-jr7uabmv3v.edgeone.app and was registered NaN years ago.

Submitted URL: https://smiling-copper-yoctwdiytg-jr7uabmv3v.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No suspicious activity detected; the site appears legitimate and low risk.

Safety Factors
No credential or payment collection fields
No suspicious JavaScript behavior
Hosted on a known free hosting platform but no malicious activity observed
Page title matches visible content (Personal Information)
No external domains or redirects
Domain age information unavailable

Details

Page Title

Personal Information

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

healthcare medical

(43%)

Domain Information

The domain name 'smiling-copper-yoctwdiytg-jr7uabmv3v.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'smiling-copper-yoctwdiytg-jr7uabmv3v'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Splitting it apart reveals 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://smiling-copper-yoctwdiytg-jr7uabmv3v.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:680 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical43% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
43%
adult content
32%
education learning
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E514FA3AB812C7FB49A0947F2121F38AFD064207129276BD43B86FEF1D5C59804C7AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:qTl4UcOq/t7jOvYi8IFdOIeO8zNAmxxPw2TIwaPS9X2KumdJXfIvb/8ioSHJ:71qfdw5Acw0h9XVwT/86HJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2941:AgcgQAAAACAAAAgEAABIAwAMAAUgEBRAJAACAQwAiUCEANBAEgBIIACIIAAEgQBAEAAAAAAEIQQEQMAAAABAAEAQCAAEkAIk

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:670f0f3fffffffff
Perceptual Hash:800123e7e6e6f676
Difference Hash:ccd8b8f000000000
Wavelet Hash:0707070ff0f0f0f0
Color Hash:#c5878f

Other Hashes

Crop Resistant:ccd8b8f000000000

Scan History

Scan history not available

Unable to load historical scan data