Security Scan Report: i-votesupport.netlify.app

Submitted: Feb 22, 2026, 9:47:46 PMCompleted: Feb 22, 2026, 9:48:53 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is i-votesupport.netlify.app and was registered NaN years ago.

Submitted URL: https://i-votesupport.netlify.app/user/index_twit

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No active threats detected; site appears benign despite being unreachable.

Safety Factors
No credential or payment collection forms
No cross‑origin credential exfiltration
Hosted on a reputable platform (Netlify) with no suspicious scripts
Domain age information unavailable

Details

Page Title

i-votesupport.netlify.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media

(30%)

Domain Information

The domain 'i-votesupport.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'i-votesupport'. Its registrable label 'netlify' stretches across 7 characters with 2 vowels and 5 consonants. Splitting it apart reveals 3 words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://i-votesupport.netlify.app/user/index_twit

Page Load Overview

0.90s
Total Load Time
6
HTTP Requests
2
Domains
46 KB
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:115 chars
Detector Agreement:100%

Website Classification

Primary Category

social media30% confidence
Type: static
Method: structural

All Detected Categories

social media
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
663.176.8.218Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
61--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8Old5:JhoC9JSqzzbs6o3Sj3gcrss2eA7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184561:LcBY6ySjhAJDBzxYTAgRJIBVRDIwTkJyoAaXCYBIwwFkICAaSJAgjgApUzWCegJByQ0pSdBoalqAkcRIQgEFhkYotEgAIowA

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673363
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#5391ac

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data