ScanMalware.com

Security Scan Report: eventkollen.nu

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/c7a0fda4-4d7d-4833-8616-3b11d47ebb5cDomain and IP registration (RDAP)/api/v1/rdap/c7a0fda4-4d7d-4833-8616-3b11d47ebb5cHow often this domain was scanned/api/v1/domain/stats/eventkollen.nuScan history for this domain/api/v1/domain/history/eventkollen.nu?limit=15
This website contacted 6 IPs in 3 countries across 4 domains to perform 12 HTTP transactions. The main domain is eventkollen.nu.

Submitted URL: https://eventkollen.nu

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Swedish local events aggregator displaying its own brand on its own domain, with no forms, no impersonation and no threat-intel, hunting rule or IDS hits. Unranked/unknown-age only, which is not evidence of wrongdoing.

Safety Factors (4)
Site's own brand appears in title/meta and matches its own domain (self-branding, not impersonation)
No forms, no credential harvesting, no cross-origin credential exfiltration
No threat-intelligence, hunting rule, or network IDS hits
Consistent, non-deceptive page content with standard legal/support links
Domain age information unavailable

Details

Page Title

Eventkollen — Allt som händer. Nära dig.

Scan Type

public

Domain Name Analysis

Within the .nu country-code top-level domain, 'eventkollen.nu' is registered without a subdomain. Its registrable label 'eventkollen' stretches across 11 characters containing 4 vowels alongside seven consonants. It segments into 3 words: event, koll, en. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eventkollen.nu

Page Load Overview

4.18s
Total Load Time
6.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,402 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website100% confidence
Type: static
Method: ml+structural

All Detected Categories

blog personal website
100%
government public service
100%
phishing scam
100%
cryptocurrency blockchain
100%
technology software
100%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2192.91.218.10Gothenburg, Västra Götaland County, Sweden
AS56736Vastra Gotalands Lans Landsting
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
126--

Detected Technologies5

Open-Graph-Protocolvwebsite
100%
HTTP/3
40%
HSTS
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC433032D2E41418B076C495A5506A9E3148C34BD21B4B18F39E7A36EFCB5B36B7338E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:+zZqSuX1Ij9M6F+756P0ztkVEV1PSWJTAeD3AeviAesIUHfe9Ju2wRhVIlin:b7IjxoASAjA1fefwRElA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57362:RFQABe4iIaciMmIEIBAkZkiLgoFVEVgJIDohUPEwRIRmQ4pgLC7AEDxDAVtCAG4BaqOEL1vSiYgkAIrQQUJOTWXEAEAgQIoQ

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:f99bd391f3ffe7ff
Perceptual Hash:ec6c93c3494bc3e1
Difference Hash:2b36362333cc0e22
Wavelet Hash:f9839391f1ff2402
Color Hash:N/A

Other Hashes

Crop Resistant:2b36362333cc0e22

Scan History

Scan history not available

Unable to load historical scan data