Security Scan Report: tyskanet.se

Redirected to:
https://www.goethe.de/ins/se/de/spr/eng/baf.html
Site favicon
Submitted: Oct 9, 2026, 10:20:36 AMCompleted: Oct 9, 2026, 10:21:16 AMpubliccompleted

This website contacted 3 IPs in 1 country across 4 domains to perform 17 HTTP transactions. The main domain is goethe.de and was registered 13 years ago.

Submitted URL: https://tyskanet.se

Effective URL:

https://www.goethe.de/ins/se/de/spr/eng/baf.html
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Entry domain tyskanet.se redirected to the official Goethe-Institut site, which served a benign 'page not found' error page with no forms and no malicious signals. No risk.

Safety Factors (4)
Official brand domain (goethe.de) displaying its own identity, not impersonating another entity
No credential, payment or login forms present
No threat-intelligence, YARA, IDS or kit-roster matches
Page content is a benign, informational error page
Domain age information unavailable

Details

Page Title

Forbiddenother network

Scan Type

public

Domain Name Analysis

The domain 'tyskanet.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'tyskanet' covers 8 characters with 2 vowels and 6 consonants. Splitting it apart reveals 3 words: ty, ska, net. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tyskanet.se

Page Load Overview

6.26s
Total Load Time
485 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:680 chars
Detector Agreement:33%

Website Classification

Primary Category

education learning97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
97%
government public service
94%
blog personal website
80%
adult content
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
723.56.207.109Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
5131.189.41.134Azure · CLOUDFrankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
5185.54.150.22Germany
AS60164Webtrekk GmbH
173--

Detected Technologies2

100%
JQueryv3.6.0
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AAD027997D0D501CFE4357D4DD45778C54CC412014598B115F805556660557DE506D8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxUaCoCX966F0BVWRZAKXF+9TGXnAqJmW/4gesUCf6C5kNddhDcbEI:kxAoCk6F03WRZ/FcTGXAqJmWgCUmK/YN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:2fa7bd92fc14080d0b071998b13e968b

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:3fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#ac536b

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data