Summary
This website contacted 24 IPs in 3 countries across 16 domains to perform 146 HTTP transactions. The main domain is jobbland.se and was registered NaN years ago.
Submitted URL: https://jobbland.se/jobb/inkoparematerialplanerare-med-ehs-ansvar-till-spx-flow-pa-ekero-spser-19825207?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate job posting with no security concerns.
Safety Factors
Details
Page Title
Inköpare/Materialplanerare med EHS-ansvar till SPX FLOW på Ekerö - SPX FLOW / Performiq
Scan Type
public
Language
Swedish
Category
government public service
(74%)Domain Information
The domain name 'jobbland.se' uses the Swedish country-code top-level domain (.se). Its registrable label 'jobbland' stretches across 8 characters split between 2 vowels and six consonants. Tokenizing the label suggests two words: job, bland. Expect 4 characters per word on average. 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 | 3.5.139.221 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 6 | 142.251.140.174 | United States | AS15169GOOGLE |
| 6 | 3.5.137.40 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 6 | 3.163.248.4 | United States | AS16509AMAZON-02 |
| 6 | 104.26.6.250 | United States | AS13335CLOUDFLARENET |
| 6 | 52.219.171.254 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 6 | 216.58.206.72 | United States | AS15169GOOGLE |
| 6 | 3.5.139.135 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 6 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 3.5.138.201 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 146 | 24 | - | - |
Detected Technologies7
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
Scan history not available
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