Security Scan Report: jobbland.se

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Submitted: Jan 13, 2026, 2:57:10 AMCompleted: Jan 13, 2026, 2:58:59 AMpubliccompleted
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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%

0
Risk Score

The site appears to be a legitimate job posting with no security concerns.

Safety Factors
Established domain age
No credential or payment collection
No malicious Indicators of Compromise
Legitimate third‑party job board
Domain age information unavailable

Details

Page Title

Inköpare/Materialplanerare med EHS-ansvar till SPX FLOW på Ekerö - SPX FLOW / Performiq

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

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

Security scan screenshot of 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

Page Load Overview

10.66s
Total Load Time
146
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:10,346 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
74%
corporate business
64%
technology software
52%
cryptocurrency blockchain
31%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
83.5.139.221Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6142.251.140.174United States
AS15169GOOGLE
63.5.137.40Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
63.163.248.4United States
AS16509AMAZON-02
6104.26.6.250United States
AS13335CLOUDFLARENET
652.219.171.254Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6216.58.206.72United States
AS15169GOOGLE
63.5.139.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6216.239.34.36United States
AS15169GOOGLE
63.5.138.201Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
14624--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B7C3EAB2B680513342B3D7DDA3A16B09A16BEA2ECB12CC47FA6C47D42BC7D47785B405

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OGGgs57p4IBE6y5Jv47/CGvr/uuMeuh+W++Mf6lbjZq:OGiX4IBE66p47/CGvr/uuMeF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123383:YhVsrKTUgARhESshgIRVEAribhYUNSC4lQlTJGpBAaAAEYOFgQQIC1WVMFIMAGAQKALSKjBJEECoyBlYoRABgiJ8QgAIKgAI

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:00ffefe7f9f9fbdf
Perceptual Hash:e912166d7e16694d
Difference Hash:b1189c0c3313321a
Wavelet Hash:00c7cfc3c1c1dbcb
Color Hash:#a0e06c

Scan History

Scan history not available

Unable to load historical scan data