Security Scan Report: swift.link-swift.shop

Redirected to:
https://klelnanzeigen-deutch.cikefuzhu.com/QZpH8NWcyj?m=11
Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Site favicon
Submitted: Aug 18, 2026, 12:25:37 PMCompleted: Aug 18, 2026, 12:26:55 PMpubliccompleted

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is klelnanzeigen-deutch.cikefuzhu.com and was registered 10 years ago.

Submitted URL: https://swift.link-swift.shop/file_search.php?urls=TGJQ0dkTLMQnH

Effective URL: https://klelnanzeigen-deutch.cikefuzhu.com/QZpH8NWcyj?m=11Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

This site is named as malicious in threat-intelligence feeds — rated high risk on that basis.

Risk Factors
Unranked domain (no reputation)
Unverified single‑source IoC match
Domain age information unavailable

Details

Page Title

Bot Rejection Tool

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

documentation technical

(52%)

Domain Information

The domain 'swift.link-swift.shop' uses the commerce-oriented generic top-level domain (.shop), featuring subdomain 'swift'. The second-level label 'link-swift' is 10 characters long split between 2 vowels and 7 consonants, plus one hyphen. Tokenizing the label suggests 2 words: link, swift. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of swift.link-swift.shop

Page Load Overview

0.36s
Total Load Time
3
HTTP Requests
2
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:362 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical52% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
52%
technology software
50%
government public service
36%
adult content
34%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
181.28.12.12Amsterdam, North Holland, Netherlands
AS199524G-Core Labs S.A.
32--

Page Statistics

3
Requests
2
Unique Domains
11.7 KB
Total Size

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1510F9B56A30002AA52A4646FB6A78576D4D413820AC92A3FDC639CCF856D4DDE374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ts8nGDKJ51Fk09Hq1r4wCUgE5nUny0ZAfbLHJBKosXmkjz0C:ts5+J5TZNqF/CUlnAy0ZAffHJmX//

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3048:CAgCAAAAAghAAAGCAAJCIQDABgiAJEYICAQBEACAApAABAAJEQAAFAIAQBAgQBABgMAoAUkAAAASBAAAAAQAEAgCBAEGBFAA

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:0000000024100000
Perceptual Hash:b331cccc333333cc
Difference Hash:0010080828280000
Wavelet Hash:f0f0d8c0031b0f0f
Color Hash:#bfc587

Other Hashes

Crop Resistant:0010080828280000

Scan History

Scan history not available

Unable to load historical scan data