Security Scan Report: tjg-rju-edi-zjw-org-rfj-etu.netlify.app

Submitted: Jan 2, 2026, 2:52:38 PMCompleted: Jan 2, 2026, 2:54:21 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is tjg-rju-edi-zjw-org-rfj-etu.netlify.app and was registered NaN years ago.

Submitted URL: https://tjg-rju-edi-zjw-org-rfj-etu.netlify.app/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site is a standard 404 page.

Safety Factors
Well‑established domain (>7 years)
No suspicious content or forms
No external links or redirects
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'tjg-rju-edi-zjw-org-rfj-etu.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'tjg-rju-edi-zjw-org-rfj-etu'. The second-level label 'netlify' is 7 characters long holding 2 vowels versus five consonants. It segments into three 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://tjg-rju-edi-zjw-org-rfj-etu.netlify.app/

Page Load Overview

21.82s
Total Load Time
2
HTTP Requests
1
Domains
3 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:312 chars
Detector Agreement:100%

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
163.176.8.218Germany
135.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1986160A9C41A203F6D97681F13A4CA4D60297247DC9247D8FFEA53ACD6DBAF305C2438

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXn:TGHwyA2qlRYZJ3RoXID+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAASAAACIgBQANA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIBAAAAARA

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:ffffe7e7e7e7ffff
Perceptual Hash:b324cc9b336c9933
Difference Hash:00000c0c0c080000
Wavelet Hash:3c3c242424243c3c
Color Hash:#799ad2

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data