Security Scan Report: jobbland.se

Submitted: Jan 21, 2026, 12:00:08 PMCompleted: Jan 21, 2026, 12:01:49 PMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 16 domains to perform 145 HTTP transactions. The main domain is jobbland.se and was registered NaN years ago.

Submitted URL: https://jobbland.se/jobb/butiksmedarbetare-sommarjobb-willys-lidingo-mjolksurrevagen-sasxf-19915303?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate job listing site; no security concerns detected.

Safety Factors
Established domain age (>8 years)
No credential or payment collection forms
No malicious Indicators of Compromise
Standard job board functionality
HTTPS connection (assumed from URL scheme)
Domain age information unavailable

Details

Page Title

Butiksmedarbetare (sommarjobb), Willys Lidingö Mjölksurrevägen - Axfood

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government public service

(55%)

Domain Information

You're looking at domain 'jobbland.se' on the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'jobbland' stretches across 8 characters split between 2 vowels and six consonants. It segments into 2 words: job, bland. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jobbland.se/jobb/butiksmedarbetare-sommarjobb-willys-lidingo-mjolksurrevagen-sasxf-19915303?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

Page Load Overview

4.35s
Total Load Time
145
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:9,727 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service55% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
55%
corporate business
51%
adult content
25%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.250.184.238United States
AS15169GOOGLE
6185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
6172.217.18.8United States
AS15169GOOGLE
6190.2.141.125Naaldwijk, South Holland, Netherlands
AS49981WorldStream B.V.
652.219.72.124Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
652.219.46.109Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6185.180.222.136Naaldwijk, South Holland, Netherlands
AS49981WorldStream B.V.
6104.26.7.250United States
AS13335CLOUDFLARENET
635.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
6146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
14523--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177C3F8A2B680513342B3D7DDA7A25B09A05BEA2ECB12CC47F76C47942FC3D57B85B805

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OAIgs57p4vmcKdUEEpQ5YS8LXXdiSup/h+W++Mf6lbjZ3:OAUX4vmpdUEEpQ5YS8LXXdiSupJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124131:grRACQIHCBuMCTCIvHVAUCAAIkALC7bAJwkEBPwLATVhBSATqCGHBgACc96UAYADWMpudOAVEAVvwRIGDw0XWBFhAHHIgKRA

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:00ffcfe7f9f9fbff
Perceptual Hash:e912166d47366d4d
Difference Hash:f1181c4c3313123a
Wavelet Hash:00c7cfc3f1c1c3cb
Color Hash:#d2562d

Scan History

Scan history not available

Unable to load historical scan data