Security Scan Report: jobbland.se

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Submitted: Jan 29, 2026, 7:35:49 PMCompleted: Jan 29, 2026, 7:37:29 PMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 16 domains to perform 148 HTTP transactions. The main domain is jobbland.se and was registered NaN years ago.

Submitted URL: https://jobbland.se/jobb/teknisk-saljare-till-kone-stockholm-skson-19837504?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate job listing site with no security concerns.

Safety Factors
Established domain (>8 years old)
No credential or payment forms present
Meta tags correctly reflect job listing, not brand impersonation
No redirects to suspicious domains
Domain age information unavailable

Details

Page Title

Teknisk säljare till KONE, Stockholm - KONE Sweden

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

documentation technical

(79%)

Domain Information

The domain 'jobbland.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'jobbland' is 8 characters long containing two vowels alongside six consonants. Breaking it apart gives 2 words: job, bland. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jobbland.se/jobb/teknisk-saljare-till-kone-stockholm-skson-19837504?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

Page Load Overview

3.30s
Total Load Time
148
HTTP Requests
16
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:10,406 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
government public service
62%
corporate business
60%
technology software
30%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
163.5.134.227Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
652.219.209.3Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
63.5.135.36Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
63.5.135.205Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6142.250.185.131United States
AS15169Google LLC
63.5.139.45Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6216.58.206.46United States
AS15169Google LLC
63.5.135.201Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
63.5.136.77Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
6142.251.140.170United States
AS15169Google LLC
14823--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137C3E8A2FA80953302A3D7DDA7625B19A12BD62ECB52CC47FB6C47942BC3D47BC4B405

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OM7gs57p4NPHiAxPJzb1SvDgqknHLuKWh+W++Mf6lbjZKk:OMTX4NP7zb1SvDgqknHLuK/k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:120086:UAu0hC0kI0ADAkowsHSVAQgGaAMIBAnIBFAAA4oBIDX8sQGGhGSACMoA6CyMwKCwIjVIhQ4okoAUKAEIQkbRAwyAZGj+KWEQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

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