Security Scan Report: jobbland.se

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Submitted: Jan 13, 2026, 10:47:34 AMCompleted: Jan 13, 2026, 10:49:58 AMpubliccompleted
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Summary

This website contacted 23 IPs in 5 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/area-sales-manager-nordic-region-sesmp-19852894?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate job posting site with no security concerns.

Safety Factors
Established domain with minimal risk
Legitimate job posting from Mero Rekrytering
Only an email field present, no sensitive data collection
Domain age information unavailable

Details

Page Title

Area Sales Manager - Nordic region - Mero Rekrytering

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

corporate business

(57%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'jobbland.se' is registered while skipping any subdomain. The second-level label 'jobbland' is 8 characters long with 2 vowels and six consonants. Breaking it apart gives 2 words: job, bland. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jobbland.se/jobb/area-sales-manager-nordic-region-sesmp-19852894?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

Page Load Overview

33.10s
Total Load Time
146
HTTP Requests
16
Domains
1.4 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:10,204 chars
Detector Agreement:40%

Website Classification

Primary Category

corporate business57% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
57%
government public service
41%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.26.7.250United States
AS13335CLOUDFLARENET
6172.67.70.163United States
AS13335CLOUDFLARENET
63.163.248.4United States
AS16509AMAZON-02
6216.58.210.174United States
AS15169GOOGLE
63.5.137.123Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
63.5.136.235Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
652.219.170.34Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
652.219.72.245Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6185.180.222.15Naaldwijk, South Holland, Netherlands
AS49981WorldStream B.V.
6185.180.222.136Naaldwijk, South Holland, Netherlands
AS49981WorldStream B.V.
14623--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12CD3E9A2F680513342B3D7D9A7625B09A05BEA2ECB13CC47F7AC47A42BC7D47B85B405

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Oxqgs57p4Hv+Q44czUs9GeFb6gL29SUnP9h+W++Mf6lbjZ5:Ox2X4Hvg4czUs9GeFN29SUnPN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135094:oYoQRDJFMgigcAhggLgAoyEY5OJSavAmS7NABfsIkoADsCowPgzzFoONMAgsiHcAShdEKZAIiEKQYABkgmAAQKARgABBAEYD

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

Average Hash:00ffffc7c3c3c7c7
Perceptual Hash:b8c7476936124f4d
Difference Hash:b110ce0c1b1b1e1e
Wavelet Hash:00ffff87818183c7
Color Hash:#79bed2

Scan History

Scan history not available

Unable to load historical scan data