Summary
API
This website contacted 11 IPs in 3 countries across 10 domains to perform 38 HTTP transactions. The main domain is jobbet.se and was registered 21 years ago.
Submitted URL: https://jobbet.se
Effective URL:
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Swedish recruitment company website with 16-year-old domain, real business content, and no phishing or malware indicators.
Safety Factors (4)
Details
Page Title
Rekryteringsföretag | Headhunting & Rekrytering | Jobbet.se - Jobbet.se
Scan Type
public
Domain Name Analysis
You're looking at domain 'jobbet.se' on the Swedish country-code top-level domain (.se) with no subdomain. Count 6 characters in 'jobbet' containing two vowels alongside 4 consonants. Word splitting yields 2 words: job, bet. Median word length comes out to three 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 |
|---|---|---|---|
| 8 | 194.169.225.29 | Sweden | AS49232Rackfish AB |
| 3 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 3 | 192.178.183.97Google · CDN | United States | AS15169Google LLC |
| 3 | 142.251.20.94Google · CDN | United States | AS15169Google LLC |
| 3 | 23.36.162.206Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.251.110.101Google · CDN | United States | AS15169Google LLC |
| 3 | 216.239.32.36Google · CDN | United States | AS15169Google LLC |
| 3 | 23.45.103.56Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 3 | 23.36.162.200Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 142.251.110.113Google · CDN | United States | AS15169Google LLC |
| 38 | 11 | - | - |
Detected Technologies7
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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