Security Scan Report: www.diw.de

Redirected to:
https://www.diw.de/
Submitted: May 22, 2026, 7:03:47 PMCompleted: May 22, 2026, 7:05:30 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 62 HTTP transactions. The main domain is diw.de.

Submitted URL: http://www.diw.de

Effective URL: https://www.diw.de/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

DIW Berlin: Startseite

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

adult content

(39%)

Domain Information

Within the German country-code top-level domain (.de), 'www.diw.de' is registered with subdomain 'www'. Its registrable label 'diw' stretches across 3 characters holding one vowel versus 2 consonants. Splitting it apart reveals 2 words: di, w. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.diw.de

Page Load Overview

2.99s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:252 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content39% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
39%
government public service
38%
documentation technical
37%
news media journalism
35%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2195.90.218.113Germany
AS42730EVANZO e-commerce GmbH
1193.174.141.140Munich, Bavaria, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E14B46094CD5C3F019A13DA3524DF1EB05F9E37C11A24B772BF129E2B83E82565E92B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:imQ3At6l666vL7bYMGRUWb9Y2fTeK/RWlezu8r7uuyjM:GAt6l666vDYMGuWRpT/R56uyjM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:192578:YxQQQiMAGSAwBCcABIA0lAIgJBWIOgYgiVYUwsnVJZSUAEgDcQSIYDcLKhIRcMRIhRgCAUSYhkYqqARWhDBBAApGgIgFRSgA

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:0000000000ffffff
Perceptual Hash:e86cd7333999ec40
Difference Hash:43678793d70d4822
Wavelet Hash:0000714141ffffff
Color Hash:#1f938a

Scan History

Scan history not available

Unable to load historical scan data