Security Scan Report: jobbland.se

Submitted: Jan 22, 2026, 11:39:50 AMCompleted: Jan 22, 2026, 11:41:29 AMpubliccompleted
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Summary

This website contacted 22 IPs in 3 countries across 16 domains to perform 157 HTTP transactions. The main domain is jobbland.se and was registered NaN years ago.

Submitted URL: https://jobbland.se/jobb/teknisk-innesaljare-till-axel-larsson-sbsra-19846692?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 (>8 years old)
Standard job listing content
Only email field present (no password or payment data)
No noindex meta tags indicating hidden content
Domain age information unavailable

Details

Page Title

Teknisk innesäljare till Axel Larsson - Bravura Sverige AB

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

documentation technical

(74%)

Domain Information

The domain name 'jobbland.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'jobbland' stretches across 8 characters containing two vowels alongside 6 consonants. Word splitting yields 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/jobb/teknisk-innesaljare-till-axel-larsson-sbsra-19846692?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

Page Load Overview

3.38s
Total Load Time
157
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:10,348 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical74% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
74%
corporate business
65%
government public service
49%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.184.227United States
AS15169GOOGLE
7104.26.7.250United States
AS13335CLOUDFLARENET
73.163.248.4United States
AS16509AMAZON-02
7190.2.141.125Naaldwijk, South Holland, Netherlands
AS49981WorldStream B.V.
7104.26.6.250United States
AS13335CLOUDFLARENET
7146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
716.12.24.10Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
7185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
716.12.24.46Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
73.5.135.184Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
15722--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175D309A2BA80553342B3D7DEA7625B09B05BE62ECB12CC47FBAC47942BC3D47785B405

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OK1gs57p4MNJwf484sOjDPb6gO/+3Bnu0b6gldfh+W++Mf6lbjZI:OKlX4MNL84sOjDPg/+3Bnu0Xdi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:137116:4CiASRQGUj0wApRKP7SdKGIpCAFsAFFhACJAEO0cBWk1lQKSDQX4qgGAepEdB0IBS5CDCGIYMJBQAJFoDKR6aAB4kHBaMxaM

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:00ffffc7c3c3c7ff
Perceptual Hash:b916166d16324f7c
Difference Hash:e1100c0c33331a3e
Wavelet Hash:00cfcfc7c181c3cf
Color Hash:#64bf40

Scan History

Scan history not available

Unable to load historical scan data