Security Scan Report: jobbland.se

Submitted: Jan 22, 2026, 7:09:15 PMCompleted: Jan 22, 2026, 7:10:55 PMpubliccompleted
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Summary

This website contacted 21 IPs in 3 countries across 15 domains to perform 141 HTTP transactions. The main domain is jobbland.se and was registered NaN years ago.

Submitted URL: https://jobbland.se/arbetsliv/nar-ar-det-vart-att-branna-broar-hr-direktoren-dina-rystedt-delar-viktiga-insikter-for-arbetssokande?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate, established job‑search publication with no security concerns.

Safety Factors
Well‑established domain age
No forms collecting sensitive data
No malicious Indicators of Compromise
Consistent branding with the domain (Jobbland)
No brand impersonation detected
Domain age information unavailable

Details

Page Title

När är det värt att bränna broar? HR-direktören Dina Rystedt delar viktiga insikter för arbetssökande - Jobbland

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(65%)

Domain Information

Domain 'jobbland.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'jobbland' spans 8 characters holding two vowels versus six consonants. Breaking it apart gives two words: job, bland. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jobbland.se/arbetsliv/nar-ar-det-vart-att-branna-broar-hr-direktoren-dina-rystedt-delar-viktiga-insikter-for-arbetssokande?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

Page Load Overview

3.93s
Total Load Time
141
HTTP Requests
15
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:11,662 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
65%
corporate business
53%
news/blog
35%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2135.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
6172.67.70.163United States
AS13335CLOUDFLARENET
6146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
63.163.248.4United States
AS16509AMAZON-02
652.219.46.12Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
63.5.138.14Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6142.251.141.136United States
AS15169GOOGLE
63.5.134.231Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6104.26.6.250United States
AS13335CLOUDFLARENET
14121--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F947520BD0E252D2237AA563352580CB7652B23F76B8F92B6E76DD10F4BDC72437096

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:e8q9g5n8fduvXEZ/IdyvkxzILApiElyv8Bb4bAxvMVi3w1z0rMpZXnGZkJHyVa5V:BIZ/dWWEOwdjXQxBrN04J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:444788:IQosAgAQgwgwQBJag0SoQKahrGILAGkIhASBmBKAprm4SAiAiAc0amCTNAdKjFTWxUEsiAHVCGMWmwQAJAYFYAIkIASAcCJE

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:00ffff9bc3c3c3e7
Perceptual Hash:bc99432d4d6c1b63
Difference Hash:f11cb3332b2f2f0f
Wavelet Hash:00ffff83838183e3
Color Hash:#633a78

Scan History

Scan history not available

Unable to load historical scan data