ScanMalware.com

Security Scan Report: arwir.pages.dev

Redirected to: https://arwir.pages.dev/

Submitted: Mar 9, 2026, 4:42:06 AMCompleted: Mar 9, 2026, 4:43:39 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 13 domains to perform 1 HTTP transaction. The main domain is arwir.pages.dev and was registered NaN years ago.

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

Effective URL: https://arwir.pages.dev/Redirected

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

Domain 'arwir.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'arwir'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus 3 consonants. Tokenizing the label suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.18s
Total Load Time
2
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
223.197.128.15United States
AS13335
040.126.32.134United States
AS13335
013.107.246.45United States
AS13335
023.36.162.220United States
AS13335
020.190.160.14United States
AS13335
013.107.246.44United States
AS13335
0146.75.121.91United States
AS13335
020.250.198.32United States
AS13335
088.221.169.152United States
AS13335
0172.66.44.136United States
AS13335Cloudflare, Inc.
212--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F24DA31F0B1F43A854F31F6D15A6719BA57E743D7858FF6B04E45282F82BA8AE03069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bNi6/qs+QstkoAZwuPQWpa8scemvqAke/5l0A4b:xi6/2DkoAZwuPQWpjscemvqAkeBl4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224972:AigSSUwAenFKBokYguFSwZIF2gEgOBTAECgEKKuZITCgDYpFSSACCAOsmYSQgi5CKLIeVIQoQwVQJAaYAlTglCwQoyToRYIv

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:ff60e0e00000ffff
Perceptual Hash:e242bd3d99d326a4
Difference Hash:5981ccc1338f000f
Wavelet Hash:ff60e0e00000ffff
Color Hash:#ac535f

Other Hashes

Crop Resistant:5981ccc1338f000f,c2f2d3f3c28244fc,80c0ccc881731f8d

Scan History

Scan history not available

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