Security Scan Report: www.swp-berlin.org

Redirected to:
https://www.swp-berlin.org/
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Submitted: Jun 15, 2026, 12:28:28 AMCompleted: Jun 15, 2026, 12:29:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is swp-berlin.org and was registered NaN years ago.

Submitted URL: http://www.swp-berlin.org

Effective URL: https://www.swp-berlin.org/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no malicious signals; safe for normal browsing.

Safety Factors
Long‑standing domain registration
Brand name aligns with domain
Absence of forms that collect credentials or payment data
No network IDS alerts or phishing indicators
No external malicious links or IoC hits
Domain age information unavailable

Details

Page Title

Stiftung Wissenschaft und Politik

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain name 'www.swp-berlin.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The core label 'swp-berlin' covers 10 characters holding two vowels versus 7 consonants, along with 1 hyphen. Segmentation suggests two words: swp, berlin. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.swp-berlin.org

Page Load Overview

0.95s
Total Load Time
22
HTTP Requests
1
Domains
730 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:10,076 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2245.139.158.164Germany
AS29014ScaleUp Technologies GmbH & Co. KG
221--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B94F97351E0073B4541D39CBB68DE69A780D147E2AA5240BBBE03D6CF97CD3C6AB216

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:5sNexgzGbpx++VrXx5ysxLK1Rx6x87RhFMVxJZ4v+1kYGGbhqS3n/GVy/Mu/epf0:5ssuGqfucQMg34o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:437918:EACIAAQIAIBgCkQABIAQABQIQCQAAMAAAAEACMgEUAEBCAAQEAQAgCCEUCGAEAAwAQAgAAAkQAAgEAAAkgACgRSIAAgAIQAI

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:ffff0f03070fff04
Perceptual Hash:b78dcae066cc3b03
Difference Hash:e5595f274f1f4d6d
Wavelet Hash:ff8f0f030307ff00
Color Hash:#b287c5

Scan History

Scan history not available

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