Security Scan Report: stw.berlin

Redirected to: https://www.stw.berlin/

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Submitted: Feb 12, 2026, 5:45:52 PMCompleted: Feb 12, 2026, 5:47:53 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is stw.berlin and was registered NaN years ago.

Submitted URL: https://stw.berlin

Effective URL: https://www.stw.berlin/Redirected

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate student services site with no security concerns.

Safety Factors
Well‑established domain (>9 years old)
No malicious Indicators of Compromise
No JavaScript malware detected
No sensitive data collection forms
Meta tags consistent with legitimate organization
Domain age information unavailable

Details

Page Title

stw.berlin

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(55%)

Domain Information

You're looking at domain 'stw.berlin' on the .berlin top-level domain without a subdomain. The registrable portion 'stw' spans 3 characters with 0 vowels and three consonants. Tokenizing the label suggests two words: st, w. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stw.berlin

Page Load Overview

54.30s
Total Load Time
138
HTTP Requests
11
Domains
5.2 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:14,885 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning55% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
55%
government public service
37%
healthcare medical
36%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
138212.83.35.189Germany
AS4744723M GmbH
1381--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T109048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8OldK:8hoC9JSqzzbs6o3Sj3gcrs82eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184441:rk0yFgREyBAUgyMJXSL4IGDwgRNCRUAAUZRUAQJiESAIBEiOABAEIogQVQDsOLGiZE20YGEIGEwZJLwCiJEBOANXEpJEYEDA

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00181c1800000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#e0cc6c

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data