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

Submitted: Jan 3, 2026, 1:40:59 PMCompleted: Jan 3, 2026, 1:42:25 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-anfu.netlify.app and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site returns a standard 404 page; no security concerns detected.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection mechanisms
Domain age information unavailable

Details

Page Title

Site not found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'tjg-rju-edi-zjw-org-rfj-anfu.netlify.app' on the application-focused generic top-level domain (.app) with subdomain 'tjg-rju-edi-zjw-org-rfj-anfu'. The second-level label 'netlify' is 7 characters long holding 2 vowels versus five consonants. Breaking it apart gives three words: net, li, fy. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tjg-rju-edi-zjw-org-rfj-anfu.netlify.app/

Page Load Overview

2.12s
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
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
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

T1676162A9C41A203F6D97681F13A4CA4D60297207DD9147D8FFEA53ACD2DBAF305C2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoXg:TGHwyA2qlRYZJ3RoXIpRk+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAIFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQQQAAAiAEAAAACAIAAAAAARA

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:b366cc9933649933
Difference Hash:00000c0c0c080000
Wavelet Hash:fcfce4e424240c0c
Color Hash:#783c3a

Other Hashes

Crop Resistant:00000c0c0c080000

Scan History

Scan history not available

Unable to load historical scan data