Security Scan Report: ipv4.am.i.mullvad.net

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Submitted: Dec 4, 2025, 4:01:29 AMCompleted: Dec 4, 2025, 4:02:48 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is ipv4.am.i.mullvad.net and was registered NaN years ago.

Submitted URL: https://ipv4.am.i.mullvad.net/

The Cisco Umbrella rank of the primary domain is #23,903 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Mullvad status page with no security concerns.

Safety Factors
Well-established domain with long registration history
Official brand subdomain
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Am I Mullvad?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'ipv4.am.i.mullvad.net' is registered; it also runs on subdomain 'ipv4.am.i'. The registrable portion 'mullvad' spans 7 characters with two vowels and 5 consonants. Word splitting yields 3 words: mull, v, ad. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ipv4.am.i.mullvad.net/

Page Load Overview

0.20s
Total Load Time
7
HTTP Requests
1
Domains
50 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:121 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
745.83.223.233Malmo, Skåne County, Sweden
AS3935131173 Services AB
71--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11321AFB750E0246E42A5B241ADD1B5988E4586078318DC51B6DC89BD5FF1F23C8AB52E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRxh59lRjLnLBbz5te0bPNZEY3Wddebr92+WcmFbho0g:TD3jLLBbz7e0XYdZVlg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1320:gBAACACCAAQACAAAAACAAAAIAAAACAAACAgBAAAEgAAAIAAAABAAggAAABAAQAAAhAAAAQAAhAAgAJAAAAAKAAAAAACEAAEA

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:0000ffff3fbfffff
Perceptual Hash:9f70700f33701f0f
Difference Hash:9020600c60680060
Wavelet Hash:000007071f1fffff
Color Hash:#3a7778

Other Hashes

Scan History

Scan history not available

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