Summary
API
This website contacted 9 IPs in 4 countries across 6 domains to perform 46 HTTP transactions. The main domain is byggforetagen.se and was registered 14 years ago.
Submitted URL: https://byggforetagen.se
AI Security Verdict
Safe Website
Confidence: 90%
Legitimate website for Swedish construction industry organization Byggföretagen; no phishing or malware indicators.
Safety Factors (5)
Details
Page Title
Byggföretagen | Vi bygger Sverige på schyssta grunder
Scan Type
public
Domain Name Analysis
Domain 'byggforetagen.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. The core label 'byggforetagen' covers 13 characters holding 4 vowels versus nine consonants. Segmentation suggests 5 words: by, gg, for, et, agen. Average segment length settles at 2 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 |
|---|---|---|---|
| 6 | 172.104.244.6 | Frankfurt am Main, Hesse, Germany | AS63949Akamai Connected Cloud |
| 5 | 23.36.162.211Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 86.107.48.68 | Sweden | AS42695Cleura AB |
| 5 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 5 | 23.36.162.213Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 5 | 184.27.107.151Akamai · CDN | Dublin, Leinster, Ireland | AS16625Akamai Technologies, Inc. |
| 5 | 23.36.162.208Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 13.33.187.40Cloudfront · CDN | New York, New York, United States | AS16509Amazon.com, Inc. |
| 46 | 9 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan history not available
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