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Security Scan Report: e7oyxfsb.pages.dev

Redirected to: https://e7oyxfsb.pages.dev/

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Submitted: Mar 3, 2026, 8:16:43 PMCompleted: Mar 3, 2026, 8:18:03 PMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 10 domains to perform 109 HTTP transactions. The main domain is e7oyxfsb.pages.dev and was registered NaN years ago.

Submitted URL: http://e7oyxfsb.pages.dev/

Effective URL: https://e7oyxfsb.pages.dev/Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics Microsoft branding on a pages.dev subdomain without credential collection; treat as moderate‑risk brand impersonation.

Risk Factors
Brand impersonation on a non‑official domain
Unranked, likely new subdomain
Potential typo‑squatting / brand mismatch
Safety Factors
No malicious Indicators of Compromise matches
No YARA malware patterns detected
No network IDS alerts
No password or payment fields present
Page content blocked – no active script exfiltration observed
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

The domain name 'e7oyxfsb.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'e7oyxfsb'. The registrable portion 'pages' spans 5 characters split between two vowels and three consonants. Breaking it apart gives 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://e7oyxfsb.pages.dev/

Page Load Overview

1.02s
Total Load Time
15
HTTP Requests
8
Domains
99 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
623.197.128.15Sweden
AS16625
113.107.246.44France
AS1299
12.23.7.32United States
AS20940
1146.75.121.91Unknown
AS13335
123.52.181.212UnknownUnknown
113.107.213.44UnknownUnknown
120.250.198.32UnknownUnknown
113.107.213.45UnknownUnknown
1188.114.96.3UnknownUnknown
120.42.73.24UnknownUnknown
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

T1DC24EB31F0B1B43A854F31B6E1462718BB53E74397859FF6B14F45286F82BA8EE43069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ggitPssstkoAZwyPerpaWXmNmvqA6qJ5l0A43:vitIkoAZwyPerpfWNmvqA6qflM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:223892:jAxmEQElGCzk7IIsOBHCIAACECEIGebgBDypAgKAhEVIIOQAAVAACQEBPKGRgFEkUajBkkGRlAgBbSOATDBoxMkFSXAyhEEI

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:#87c5c5

Other Hashes

Crop Resistant:5981ccc1338f000f,c2f2d3f3c28244fc,80c0ccc881731f8d

Scan History

Scan history not available

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