Security Scan Report: support-verified-badge.netlify.app

Submitted: Jan 22, 2026, 1:34:42 PMCompleted: Jan 22, 2026, 1:35:59 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is support-verified-badge.netlify.app and was registered NaN years ago.

Submitted URL: https://support-verified-badge.netlify.app/live

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>7 years old)
No credential or payment collection fields
No external links or redirects
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Verified badge

Scan Type

public

Language

🇩🇪

German

(47% confidence)

Category

corporate business

(94%)

Domain Information

The domain name 'support-verified-badge.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'support-verified-badge'. The core label 'netlify' covers 7 characters containing 2 vowels alongside 5 consonants. Breaking it apart gives three words: net, li, fy. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://support-verified-badge.netlify.app/live

Page Load Overview

7.94s
Total Load Time
155
HTTP Requests
3
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:47%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:47%
Script Type:Latin
Text Length:4,529 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate business94% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
94%
government public service
94%
blog personal website
81%
technology software
78%
news media journalism
70%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15535.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1551--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0C080B7E451440D5F3119F9CA8274549E44511CC1211F8075D0F198E445D674043198

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYrRbuk40qa:qzxV/5VHHoB96D3ne1k9YrG8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:026ea37c9437e860f0e1af8e4c052f14

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#6c70e0

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data