Security Scan Report: tiqfsagwiq.duckdns.org

Redirected to:
http://tiqfsagwiq.duckdns.org/en/main
Submitted: Oct 17, 2025, 2:58:11 PMCompleted: Oct 17, 2025, 2:59:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 15 HTTP transactions. The main domain is tiqfsagwiq.duckdns.org and was registered NaN years ago.

Submitted URL: http://tiqfsagwiq.duckdns.org/en/

Effective URL: http://tiqfsagwiq.duckdns.org/en/mainRedirected

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Manage your Apple ID - Apple

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

e-commerce shopping

(75%)

Domain Information

Domain 'tiqfsagwiq.duckdns.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'tiqfsagwiq'. Its registrable label 'duckdns' stretches across 7 characters with one vowel and 6 consonants. It segments into two words: duck, dns. Expect 3.5 characters per word on average. Most frequently, 'duck' shows up in French. It also appears in Slovak and German contexts.

Screenshot

Security scan screenshot of http://tiqfsagwiq.duckdns.org/en/

Page Load Overview

49.32s
Total Load Time
15
HTTP Requests
1
Domains
62 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:en
Text Length:365 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
75%
technology software
65%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15103.80.134.11Seoul, Seoul, South Korea
AS3786LG DACOM Corporation
151--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B613DB75D142E0BEE273D95A64C37BDE346CC212F2134A5DF25734ADAEC23DAA1A420D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:bC4YeLghvejcjht8FCjmnWuHtvpvaaqRteaD:XsTjhGFCqnWuHtvpvaaqRtpD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41758:DCyKZEggQuOCQQbChqxXKFoQ8kiC5TZgEPBNYUFIAElgFmCAgCAFlLiIRl4wFRNGqCOgpJBACBhYFIGSAETEEYIQ5A1YL0Q3

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

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