ScanMalware.com

Security Scan Report: valsjobua.se

Redirected to:
https://ansattfjallen.com/valsjobua/
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Submitted: Oct 2, 2026, 9:20:17 AMCompleted: Oct 2, 2026, 9:21:31 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0723dc45-1347-459d-8ae2-9c3fe79d058eDomain and IP registration (RDAP)/api/v1/rdap/0723dc45-1347-459d-8ae2-9c3fe79d058eCertificate Transparency/api/v1/ct/ansattfjallen.comHow often this domain was scanned/api/v1/domain/stats/valsjobua.seScan history for this domain/api/v1/domain/history/valsjobua.se?limit=15

This website contacted 30 IPs in 3 countries across 22 domains to perform 212 HTTP transactions. The main domain is ansattfjallen.com and was registered 21 years ago.

Submitted URL: https://valsjobua.se

Effective URL:

https://ansattfjallen.com/valsjobua/
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Swedish rural shop page with real contact details, no credential/payment forms, and no threat-intel or malware signals. Low risk.

Safety Factors (4)
Rich legitimate store content including address, phone, email, opening hours, and local service descriptions.
No credential or payment forms; only search and comment forms.
No threat-intelligence, YARA, IDS, or JavaScript behavioral signals.
Self-branding and service-provider references, not impersonation of another entity.
Domain age information unavailable

Details

Page Title

Valsjöbua Lanthandel vid fjällets kant | Ansättfjällen

Scan Type

public

Domain Name Analysis

You're looking at domain 'valsjobua.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The core label 'valsjobua' covers 9 characters split between four vowels and five consonants. Word splitting yields 4 words: vals, job, u, a. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://valsjobua.se

Page Load Overview

8.67s
Total Load Time
10.3 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:5,629 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
news/blog
40%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9193.0.253.28Sweden
AS41980Webbkonsulterna i Jamtland AB
713.53.111.206Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
7104.18.19.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.20.95Google · CDNUnited States
AS15169Google LLC
7142.251.20.97Google · CDNUnited States
AS15169Google LLC
7142.251.127.84Google · CDNUnited States
AS15169Google LLC
7192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
7157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7192.178.183.94Google · CDNUnited States
AS15169Google LLC
21230--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D254A6517B962835216F23AF9053B21C519BCBA3DB4EA3F5F0BE406C86E0F9539E3119

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xKlI13s132sEymwGrdxCu4xuczHXGG9OBTZWkWbi7Sw6RVHPfhxJra:MlI13s13k8F5g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:305564:oCCeFQJvWUcKDQCBSgQ6gAQQxEgwicoQQ4ABmpEEdGk4YEFSAiaylMBmDEABHxEkaIKFYWQRQEAxPAuC/raPBBqEYpUQVAAJ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data