Security Scan Report: arwir.pages.dev

Submitted: Mar 9, 2026, 8:24:07 PMCompleted: Mar 9, 2026, 8:25:41 PMpubliccompleted
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Summary

This website contacted 11 IPs in 1 country across 12 domains to perform 111 HTTP transactions. The main domain is arwir.pages.dev and was registered NaN years ago.

Submitted URL: https://arwir.pages.dev/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Site copies Microsoft branding on a pages.dev subdomain without login forms; moderate risk of brand impersonation.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Potentially newly created subdomain on a free hosting platform
Safety Factors
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
No network IDS alerts
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Microsoft – AI, molnet, produktivitet, datorer, spel och appar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'arwir.pages.dev' is registered with subdomain 'arwir'. Count 5 characters in 'pages' split between two vowels and 3 consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arwir.pages.dev/

Page Load Overview

8.16s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
64%
adult content
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12.23.227.16United States
0146.75.121.91United States
023.197.128.15United States
040.126.32.138United States
013.107.246.44United States
040.126.31.73United States
013.107.213.44United States
023.52.181.212United States
013.107.213.45United States
020.250.198.32United States
111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E814C831F0F1B53A868F31FAE5595755BA93EB8397848FF2B08E45181F82798EE03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DiiFqs+Qsi0CUEqpPfHLR4mvqAJeW5l0A4R:GiF2g0CUEqpPfHLOmvqAJeElm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:199598:gAQIANApski0xAFATKMAwJSIGFK+kwgFQofOJQNlh0GAkxRAC3QIRAVIAAI9o5gFDoYgGSc0RAAAUAKgQOSEaosiAJzGAYM6

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:e060e00000ffffff
Perceptual Hash:c240cebd1b99da35
Difference Hash:81c4c8813f490861
Wavelet Hash:e060e00000ffffff
Color Hash:#1f5f93

Scan History

Scan history not available

Unable to load historical scan data