Security Scan Report: jobbland.se

Site favicon
Submitted: Jan 12, 2026, 9:01:20 PMCompleted: Jan 12, 2026, 9:03:11 PMpubliccompleted
Loading additional data...

Summary

This website contacted 28 IPs in 3 countries across 20 domains to perform 150 HTTP transactions. The main domain is jobbland.se and was registered NaN years ago.

Submitted URL: https://jobbland.se/jobb/stockholm-vatten-avfall-teknikomradesansvarig-elkraft-till-norsborgs-vattenverk-sdsuu-19864365?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain
No credential‑harvesting or payment forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Teknikområdesansvarig Elkraft till Norsborgs vattenverk - Stockholm Vatten & Avfall

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(70%)

Domain Information

The domain 'jobbland.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The registrable portion 'jobbland' spans 8 characters containing 2 vowels alongside 6 consonants. Word splitting yields two words: job, bland. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jobbland.se/jobb/stockholm-vatten-avfall-teknikomradesansvarig-elkraft-till-norsborgs-vattenverk-sdsuu-19864365?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

Page Load Overview

5.83s
Total Load Time
150
HTTP Requests
20
Domains
1.7 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:10,498 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
70%
documentation technical
48%
corporate business
43%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
153.167.227.105United States
AS16509AMAZON-02
5216.239.34.36United States
AS15169GOOGLE
5216.239.32.36United States
AS15169GOOGLE
5216.58.206.35United States
AS15169GOOGLE
53.5.139.160Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
5185.180.222.136Naaldwijk, South Holland, Netherlands
AS49981WorldStream B.V.
53.167.227.37United States
AS16509AMAZON-02
552.219.170.2Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5172.217.18.10United States
AS15169GOOGLE
15028--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCA3F8A2F940553302B3D7DAA3A15B0DA16BE62FCB23CC47FAAC47952BC7D47685B005

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OXNgs57p4CYmitCdQVQweGIlkJaLm7BKDh+W++Mf6lbjZAg:OXtX4CYrIlkJaLm7BK1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98496:jMAkGBhEgQUACgAWAgKAQaoDFAgRAoFqQrCIkUpiMtRGUhGApbyoR5CR4mEAE0ACp2IEXUICIAjBSTAwiAILAjQOPGwYAoN8

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:00ffefc7db83c7ff
Perceptual Hash:b84747794c36634d
Difference Hash:f5104e3c331b0e32
Wavelet Hash:00efe7c7918183cf
Color Hash:#c7e06c

Scan History

Scan history not available

Unable to load historical scan data