Security Scan Report: swift.link-swift.shop

Redirected to:
https://klelnanzeigen-deutch.cikefuzhu.com/QZpH8NWcyj?m=11
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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is link-swift.shop.

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

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

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 (2)
Unranked domain (no reputation)
Unverified single‑source IoC match
Domain age information unavailable

Details

Page Title

Bot Rejection Toolother network

Scan Type

public

Domain Name Analysis

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

Page Load Overview

0.36s
Total Load Time
12 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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--

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