ScanMalware.com

Security Scan Report: alskasvedala.se

Redirected to:
https://www.alskasvedala.se/
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/25004f5d-8879-4862-9b8b-ec9a8cc642c0Domain and IP registration (RDAP)/api/v1/rdap/25004f5d-8879-4862-9b8b-ec9a8cc642c0How often this domain was scanned/api/v1/domain/stats/alskasvedala.seScan history for this domain/api/v1/domain/history/alskasvedala.se?limit=15
This website contacted 17 IPs in 2 countries across 9 domains to perform 140 HTTP transactions. The main domain is alskasvedala.se.

Submitted URL: https://alskasvedala.se

Effective URL:
https://www.alskasvedala.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Swedish local political party site (Älska Svedala) presenting only its own brand; no credential or payment forms, no malware, phishing or threat-intel evidence. Nothing malicious found.

Safety Factors (4)
Site's own brand name matches its domain (self-branding, not impersonation)
No credential or payment collection — only an e-mail newsletter form on the same origin
No Indicators of Compromise, malware, phishing-kit or network IDS evidence
No obfuscated or malicious JavaScript behaviour detected
Domain age information unavailable

Details

Page Title

Startsida - Älska Svedala

Scan Type

public

Domain Name Analysis

You're looking at domain 'alskasvedala.se' on the Swedish country-code top-level domain (.se) and has no subdomain. Its registrable label 'alskasvedala' stretches across 12 characters containing five vowels alongside 7 consonants. Segmentation suggests 5 words: al, sk, as, veda, la. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alskasvedala.se

Page Load Overview

3.71s
Total Load Time
11.8 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:9,821 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
69%
documentation technical
56%
forum community discussion
45%
adult content
44%
blog personal website
43%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12141.193.213.11Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
8141.193.213.10Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
8142.251.20.97Google · CDNUnited States
AS15169Google LLC
8104.26.12.87Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
834.89.229.211Google · CDNFrankfurt am Main, Hesse, Germany
AS396982Google LLC
8216.239.32.36Google · CDNUnited States
AS15169Google LLC
8142.251.146.6Google · CDNUnited States
AS15169Google LLC
8192.178.183.132Google · CDNUnited States
AS15169Google LLC
8104.26.13.87Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8216.239.34.36Google · CDNUnited States
AS15169Google LLC
14017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124640A72A0E4402AB71BE398D164BB0CB0A7D311E74347D4F9AD63DE67C6FAA521271C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:+6AHgLc8CmZOXi53DOaihkeUVXH1Gcx7NHwGhpPzwCyfgFIuC:zAHgLfOXi5NihkeUVXHIcx7NHwGhiCyJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:318027:ZgYAtTAAZgaSdwnESEwChIJciVYoALQrBMoRegJToA0ggCEAE1uIHZlkUK4SAKZwABIUQTkCQdwMgGviAEQMIP8SscGYBAiF

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