Security Scan Report: sfergvf.pages.dev

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

Submitted: Mar 9, 2026, 8:46:04 AMCompleted: Mar 9, 2026, 8:47:13 AMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 12 domains to perform 116 HTTP transactions. The main domain is sfergvf.pages.dev and was registered NaN years ago.

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

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No malicious activity detected; site appears safe.

Safety Factors
No malicious Indicators of Compromise
No credential or payment collection
No brand impersonation
Hosted on reputable free hosting platform (pages.dev)
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

You're looking at domain 'sfergvf.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'sfergvf'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.77s
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
613.107.213.44Germany
123.50.131.149Germany
1172.66.44.173Germany
113.107.246.44GermanyUnknown
120.190.160.64GermanyUnknown
120.250.198.32GermanyUnknown
1104.102.45.22GermanyUnknown
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1146.75.121.91GermanyUnknown
140.126.31.71GermanyUnknown
1510--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B514B731F0F1B53A868F31FAE5595755BA93EB8397848FF2B08E45181F82798AF03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kDiZqs+Qsi0CUEqpPfHRNGmvqAReW5l0A4D:MiZ2g0CUEqpPfHRNGmvqAReElo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:199598:IEABAi3kToF4wCAkTAH1AIAgGjBxMMmBANr2UgGMMHFAtSEoIDAFBgJAlEUYJ4o5DpqEA411s0CAQgRaQJ0CsIABypmS6EGA

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:#ac8053

Scan History

Scan history not available

Unable to load historical scan data