Summary
This website contacted 21 IPs in 3 countries across 14 domains to perform 141 HTTP transactions. The main domain is jobbland.se and was registered NaN years ago.
Submitted URL: https://jobbland.se/arbetsliv/jobbindex-2025?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational page with no security concerns.
Safety Factors
Details
Page Title
Så har efterfrågan på arbetskraft utvecklats under 2025 -
Scan Type
public
Language
Swedish
Category
corporate business
(65%)Domain Information
You're looking at domain 'jobbland.se' on the Swedish country-code top-level domain (.se) without a subdomain. The core label 'jobbland' covers 8 characters holding two vowels versus six consonants. Word splitting yields 2 words: job, bland. Median word length is 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 |
|---|---|---|---|
| 21 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 142.250.184.227 | United States | AS15169GOOGLE |
| 6 | 3.5.135.86 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 6 | 104.26.7.250 | United States | AS13335CLOUDFLARENET |
| 6 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 6 | 16.12.24.22 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 6 | 172.67.70.163 | United States | AS13335CLOUDFLARENET |
| 6 | 52.219.168.81 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 6 | 104.26.6.250 | United States | AS13335CLOUDFLARENET |
| 6 | 3.5.137.230 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 141 | 21 | - | - |
Detected Technologies10
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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