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Security Scan Report: zasew-48s.pages.dev

Redirected to: https://zasew-48s.pages.dev/

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Submitted: Feb 28, 2026, 11:42:55 AMCompleted: Feb 28, 2026, 11:44:12 AMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 12 domains to perform 112 HTTP transactions. The main domain is zasew-48s.pages.dev and was registered NaN years ago.

Submitted URL: http://zasew-48s.pages.dev/

Effective URL: https://zasew-48s.pages.dev/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

No malicious activity detected; site appears safe but unknown subdomain warrants caution.

Risk Factors
Subdomain on free hosting platform with unknown age (moderate suspicion)
Safety Factors
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Hosted on standard (non‑IPFS, non‑cloud‑storage) platform
Page appears to be a generic block page, not delivering payloads
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

(91%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'zasew-48s.pages.dev' is registered; it also runs on subdomain 'zasew-48s'. The second-level label 'pages' is 5 characters long with two vowels and three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://zasew-48s.pages.dev/

Page Load Overview

1.16s
Total Load Time
15
HTTP Requests
8
Domains
342 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-us
Text Length:12,315 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
91%
e-commerce shopping
50%
entertainment media
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
613.107.246.45Germany
AS16625
140.126.32.68Sweden
AS1299
120.190.159.73France
AS20940
123.197.128.15United States
AS13335
1172.66.44.187United States
AS13335Cloudflare, Inc.
1146.75.121.91UnknownUnknown
120.250.198.32UnknownUnknown
113.107.213.44UnknownUnknown
123.52.181.212UnknownUnknown
12.18.64.21UnknownUnknown
1510--

Detected Technologies2

JQueryv1.9.1
100%
Microsoft Ajax Content Delivery Network
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10114B731F0F1B53A868F31FAE5595755BA93EB8397848FF3B08E45181F82798AE03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vnzTypwyiMHDms0Ns0B3V0/KKVEBopgzBP4UQK/Q/B9G3cYJ9lBnRfWDRT3nzE90:SDiRsssi0CUEqpPfHJGmvqA1eW5l0A4s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198720:IxQIhUNpOAkEDCL5lmswdBCEBMwAigMAAAAZXCQxGLDEEl0RCAIgQgEpEtAV1miYECfiVR7FeEMoUAKF1hAaARBAsrzDYOAA

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:#6d931f

Other Hashes

Crop Resistant:81c4c8813f490861,d2f2d3f3c28204fc,80c0ccc881731f89

Scan History

Scan history not available

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