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Security Scan Report: leafyscan-gl3y9fvani.edgeone.app

Submitted: Jan 11, 2026, 3:35:29 AMCompleted: Jan 11, 2026, 3:37:06 AMpubliccompleted
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Summary

This website contacted 8 IPs in 4 countries across 8 domains to perform 1 HTTP transaction. The main domain is leafyscan-gl3y9fvani.edgeone.app and was registered NaN years ago.

Submitted URL: https://leafyscan-gl3y9fvani.edgeone.app/blog-article.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain age > 2 years (well-established)
No forms or credential collection
No external links
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Leafy Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(64%)

Domain Information

The domain 'leafyscan-gl3y9fvani.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'leafyscan-gl3y9fvani'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://leafyscan-gl3y9fvani.edgeone.app/blog-article.html

Page Load Overview

94.10s
Total Load Time
1
HTTP Requests
0
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:1,748 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical64% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
64%
blog personal website
59%
education learning
56%
download file sharing
54%
government public service
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
0185.15.59.240United States
AS14907WIKIMEDIA
0142.250.186.138United States
AS15169GOOGLE
045.43.142.3United Kingdom
AS16276OVH SAS
017.253.57.200Frankfurt am Main, Hesse, Germany
AS6185APPLE-AUSTIN
0216.58.206.67United States
AS15169GOOGLE
0172.67.68.11United States
AS13335CLOUDFLARENET
0104.17.24.14United States
AS13335CLOUDFLARENET
08--

Detected Technologies1

Tailwind CSS
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101F2C7396AE1007B6C97C1F2E5E57A5CF92AA1C7CF2B82A9B59E45109FC3DB74C43240

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:VnVhL7/RaoHjT6/w/zzR9mzTfGYRZXqP05espfgq5DndGFCuGK:VnVhn/R5PxR9abTes1gqGFC5K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34256:IEOOIQiFpIrtMBABBoEMYOEgDcRgIRhANikNF5yN8jTbAIwAJAATGVANKIc2EQAUBgHQmJMWQUDHnAMAqkETmWFgJA4AGYBS

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:fdff8f8787838fbf
Perceptual Hash:bfd2c8666a420f39
Difference Hash:411a1a0d1e2e4b73
Wavelet Hash:b9ff8f05030383b9
Color Hash:#3a786c

Other Hashes

Crop Resistant:411a1a0d1e2e4b73

Scan History

Scan history not available

Unable to load historical scan data