Summary
This website contacted 6 IPs in 3 countries across 5 domains to perform 29 HTTP transactions. The main domain is goteborg.se and was registered NaN years ago.
Submitted URL: https://goteborg.se/
The Cisco Umbrella rank of the primary domain is #666,359 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Start - Göteborgs Stad
Scan Type
public
Language
Swedish
Category
government public service
(57%)Domain Information
You're looking at domain 'goteborg.se' on the Swedish country-code top-level domain (.se). The second-level label 'goteborg' is 8 characters long with three vowels and 5 consonants. Word splitting yields 2 words: go, teborg. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 4 | 46.246.30.222 | Stockholm, Stockholm County, Sweden | AS42708Glesys AB |
| 4 | 62.88.152.34 | Gothenburg, Västra Götaland County, Sweden | AS25387Goteborg Kommun |
| 4 | 108.138.7.97 | Sweden | |
| 4 | 62.88.152.18 | Gothenburg, Västra Götaland County, Sweden | AS25387Goteborg Kommun |
| 4 | 52.28.178.169 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 108.138.7.65 | United States | AS16509AMAZON-02 |
| 24 | 6 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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