ScanMalware.com

Security Scan Report: jobbland.se

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Submitted: Jan 14, 2026, 8:34:47 PMCompleted: Jan 14, 2026, 8:36:57 PMpubliccompleted
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Summary

This website contacted 24 IPs in 5 countries across 16 domains to perform 149 HTTP transactions. The main domain is jobbland.se and was registered NaN years ago.

Submitted URL: https://jobbland.se/jobb/inkopare-till-apoex-sbsra-19862687?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate job posting on an established job board.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection
Legitimate job‑board purpose
Clear employer branding without impersonation
Domain age information unavailable

Details

Page Title

Inköpare till ApoEx - Bravura Sverige AB

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

corporate business

(72%)

Domain Information

The domain name 'jobbland.se' uses the Swedish country-code top-level domain (.se) with no subdomain. The second-level label 'jobbland' is 8 characters long containing two vowels alongside six consonants. Word splitting yields two words: job, bland. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jobbland.se/jobb/inkopare-till-apoex-sbsra-19862687?utm_source=jobbevakaren&utm_medium=email&utm_content=sv&identifier=1436885062c5755f1fec8ac9a5d96cd8a761b5ca33eacfff6aca2048d3bdcc76

Page Load Overview

4.91s
Total Load Time
149
HTTP Requests
16
Domains
1.4 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:10,485 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business72% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
72%
government public service
50%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1135.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
6142.251.38.72United States
AS15169GOOGLE
6216.239.34.36United States
AS15169GOOGLE
652.219.140.173Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
6216.239.32.36United States
AS15169GOOGLE
6104.26.7.250United States
AS13335CLOUDFLARENET
63.5.137.64Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
652.219.171.118Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
63.5.134.98Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
652.219.170.114Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
14924--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1C3F8A3BA80553342B3D7E9A7625B09F11BE62ECB12CD47FA6C87942BC3D07785B405

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Oxygs57p4mk00T1Y/RVWD/kfCbN90DxRmh+W++Mf6lbjZwm:OxuX4mkXJY/RVWD/kfCbN90DxR2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:118488:oAEAsqAgokMWCYQRgagTCArEoAYEEiAKRT6rQJZysYFQEuMSYSKRBCBdslHcTEICHBSciQTMVAZvAGIDAcSXCBNAIxATJwAQ

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:00ffefc7c3c3c7ff
Perceptual Hash:b847c6694a324f6d
Difference Hash:e9100c0c1b1b1e3e
Wavelet Hash:00ffe787818183df
Color Hash:#b1e06c

Other Hashes

Crop Resistant:e9100c0c1b1b1e3e,015135d0dc354101,510c12b2b28c5145,bb5fbfaa367ebabe,66666414150d0d08

Scan History

Scan history not available

Unable to load historical scan data