Security Scan Report: www.twitterperlen.de

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Submitted: Jan 7, 2026, 3:10:12 AMCompleted: Jan 7, 2026, 3:11:51 AMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 9 domains to perform 48 HTTP transactions. The main domain is twitterperlen.de and was registered NaN years ago.

Submitted URL: https://www.twitterperlen.de

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

High‑risk phishing site impersonating Twitter on an unrelated domain.

Risk Factors
Brand impersonation / typosquatting of a well‑known service (Twitter) on an unrelated domain
Unranked domain used for brand‑related content
Domain age information unavailable

Details

Page Title

Twitterperlen - Das Beste aus dem Netz

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

adult content

(80%)

Domain Information

You're looking at domain 'www.twitterperlen.de' on the German country-code top-level domain (.de); it also runs on subdomain 'www'. Count 13 characters in 'twitterperlen' holding four vowels versus 9 consonants. Splitting it apart reveals three words: twitter, per, len. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.twitterperlen.de

Page Load Overview

10.44s
Total Load Time
125
HTTP Requests
16
Domains
1.3 MB
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:5,657 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content80% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
80%
entertainment media
77%
social media network
55%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1323.36.163.28Germany
8104.26.3.201United States
AS13335CLOUDFLARENET
82.16.241.13Germany
8104.16.80.73United States
AS13335CLOUDFLARENET
818.66.137.197United States
AS16509AMAZON-02
8172.67.72.60United States
AS13335CLOUDFLARENET
818.66.147.26United States
AS16509AMAZON-02
823.36.163.17Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8104.26.2.105GermanyUnknown
8104.16.79.73GermanyUnknown
12515--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF542AF2449C8439175A93E560247B4DB1B7C93BCB8749D5F3BF8089B38AC9252A3B5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ZS8dDD44ofF5ppxZTXF3ft17CKgs9rw6mV6fOSxB:5dDD44Mjpp1g6mV6fOSD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:286905:pAAtaQEIkvQgnNGSYoBgAGboGFxABmLqCqN4MEjxQYGBW6IcAQEoXAAAUhKdIB/UoD4xylg4gUAgSgAiPCThRfoENcUwQQDY

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:ffffffffc7c3c3c7
Perceptual Hash:bcc3396c936d9630
Difference Hash:260b87719da6a69e
Wavelet Hash:ffff003c43434242
Color Hash:#9ce06c

Scan History

Scan history not available

Unable to load historical scan data