Security Scan Report: grateful-silver-oumdviaql4-al94iid1ey.edgeone.app

Submitted: Apr 1, 2026, 9:06:07 PMCompleted: Apr 1, 2026, 9:07:30 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is grateful-silver-oumdviaql4-al94iid1ey.edgeone.app and was registered NaN years ago.

Submitted URL: https://grateful-silver-oumdviaql4-al94iid1ey.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: 78%

1
Risk Score

No malicious activity detected; site appears safe but is a newly created subdomain on a free hosting platform.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Standard hosting without IPFS or cloud storage
Low JavaScript obfuscation (normal minified code)
No cross‑origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

Birthday Surprise 🎉

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(42%)

Domain Information

The domain 'grateful-silver-oumdviaql4-al94iid1ey.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'grateful-silver-oumdviaql4-al94iid1ey'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Breaking it apart gives 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://grateful-silver-oumdviaql4-al94iid1ey.edgeone.app/

Page Load Overview

1.28s
Total Load Time
4
HTTP Requests
3
Domains
6.3 MB
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:1,420 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical42% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
42%
adult content
41%
blog personal website
36%
news media journalism
30%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
246.105.222.81France
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA52D86302630832B157959D7AD2A3CD367051079B47C82876EDDACA8FCACCA853B6CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:zA+6iGmdGrJdRUfe/07cDIpkNwyeYsyZXy7FqxSnCoQvQpGRely2rnRresAXmrII:z3HGE8HZNwyWyVyJaUGRelfrnhVAXmrl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13285:YyKTgJDwPswRLAF3mEBol4A4ahQkQhogAGJdiIRjJA/ZR0KYgw4ACghJdwIEERQkG8AUBmACI9QAJkEDwWaYJxgD7pbB0C4J

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:03070f07071f1f3f
Perceptual Hash:a24cdd766609c967
Difference Hash:ffffffefefffffff
Wavelet Hash:0307070f071f3f3f
Color Hash:#d2932d

Other Hashes

Crop Resistant:ffffffefefffffff

Scan History

Scan history not available

Unable to load historical scan data