ScanMalware.com

Security Scan Report: mickerespond.se

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/bb349aaf-cc16-4b53-9988-75c545cbb2b1Domain and IP registration (RDAP)/api/v1/rdap/bb349aaf-cc16-4b53-9988-75c545cbb2b1How often this domain was scanned/api/v1/domain/stats/mickerespond.seScan history for this domain/api/v1/domain/history/mickerespond.se?limit=15
This website contacted 6 IPs in 3 countries across 5 domains to perform 21 HTTP transactions. The main domain is mickerespond.se.

Submitted URL: https://mickerespond.se

AI Security Verdict

Safe Website

Confidence: 80%

1
Risk Score

Personal Swedish blog with self-branding matching its domain, no forms, no credentials, and no malware or threat-intelligence hits; nothing malicious found.

Safety Factors (5)
Site title and meta tags match its own domain (self-branding, not impersonation)
No forms of any kind — no credential, payment, or disguised password fields
No threat-intelligence, YARA, IDS or Safe Browsing hits
No cross-origin credential handling or exfiltration detected
Content is ordinary personal-blog material (share links, front page heading)
Domain age information unavailable

Details

Page Title

Min förstasida - www.mickerespond.se

Scan Type

public

Domain Name Analysis

The domain 'mickerespond.se' uses the Swedish country-code top-level domain (.se) and has no subdomain. Count 12 characters in 'mickerespond' containing 4 vowels alongside 8 consonants. Segmentation suggests 3 words: mick, e, respond. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mickerespond.se

Page Load Overview

3.94s
Total Load Time
1.1 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:121 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
96%
blog personal website
63%
news media journalism
59%
healthcare medical
48%
government public service
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
646.30.213.178Copenhagen, Capital Region, Denmark
AS51468One.com A/S
3142.251.153.119Google · CDNUnited States
AS15169Google LLC
3192.178.183.138Google · CDNUnited States
AS15169Google LLC
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
3142.251.155.119Google · CDNUnited States
AS15169Google LLC
216--

Detected Technologies6

X-UA-Compatible
100%
Open-Graph-Protocolvarticle
100%
Google-AnalyticsvUniversal
100%
Varnish
40%
Apache HTTP Server
40%
Google Analytics
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12862D7360CA490395167C094BAA6BA0AD63DC10BC9A36BA472EC1AFD5FC7BD19C5374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:B+YQbK+Cl98vKADfj6w15BQq/Um6vD8PfRnwtS7Cd7:BZ+6W1Dfj6w15lMm6wGtSud7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15467:IIE4C4ylI4gBqGAlWBp6kAIIIYcIMMAD0CCEAOfGACBiGcAiqRJIKFKmDFQ4ZsI0eKIZwhMwgyACURYYb0QQINAJTjD0tAAF

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:3c3c3c3c2c0c3c00
Perceptual Hash:93cf6c9261ce30c7
Difference Hash:7969795959dd6961
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#797bd2

Other Hashes

Crop Resistant:8080b0b4b43000a0,6d6d3ebc32765600,7969795959dd6961,22024363830b33a3

Scan History

Scan history not available

Unable to load historical scan data