Security Scan Report: thriving-vacherin-97a0bc.netlify.app

Submitted: Oct 25, 2025, 1:48:17 PMCompleted: Oct 25, 2025, 1:49:39 PMpubliccompleted
Loading additional data...

Summary

This website contacted 46 IPs in 3 countries across 8 domains to perform 11 HTTP transactions. The main domain is thriving-vacherin-97a0bc.netlify.app and was registered NaN years ago.

Submitted URL: https://thriving-vacherin-97a0bc.netlify.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (>7 years old)
No credential or payment collection
No external links or redirects
Empty page title and minimal visible content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇰🇷

Korean

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'thriving-vacherin-97a0bc.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'thriving-vacherin-97a0bc'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus five consonants. It segments into three words: net, li, fy. Median word length is two characters. 'neto' most often appears in Esperanto. You may catch it in Bosnian and Serbian as well.

Screenshot

Security scan screenshot of https://thriving-vacherin-97a0bc.netlify.app/

Page Load Overview

18.54s
Total Load Time
11
HTTP Requests
8
Domains
223 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:50%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:50%
Script Type:Hangul
HTML Lang Attribute:en
Text Length:68 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ko

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
0104.17.24.14United States
AS13335CLOUDFLARENET
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0208.91.114.103Coquitlam, British Columbia, Canada
AS40934FORTINET
018.245.218.22United States
AS16509AMAZON-02
0142.250.185.234United States
AS15169GOOGLE
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0104.18.10.207United States
AS13335CLOUDFLARENET
0142.250.186.106United States
AS15169GOOGLE
02a00:1450:4001:813::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02600:9000:206f:e00:15:c281:3500:93a1United States
AS16509AMAZON-02
1146--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E842A46385A309196417D0A8AFDBA74637A5C063C10BCD583F9CA79ECFC5ED588A738C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:yLlFoY1ALsbtDc5ckOIFl+d9Vfq7zONWziRZBgtcXj:yLlFYLaAuIF0Vy7gVZBJj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12195:AqKEDIHoBCZnBEJZEQLoEmSE7SGHNbDobggkhgGIFQTEJuAIXQhAQDbmowI0ADwKAVmBrADgRQVEaRoAkQtQjggFoiMMkDGI

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:00183c1800000000
Perceptual Hash:99996666339999cc
Difference Hash:4cb2b2b20c300000
Wavelet Hash:283c3c3c0f0f0f0f
Color Hash:#b679d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data