Security Scan Report: htfidw.pages.dev

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

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Submitted: Feb 28, 2026, 12:59:09 AMCompleted: Feb 28, 2026, 1:00:23 AMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 14 domains to perform 116 HTTP transactions. The main domain is htfidw.pages.dev and was registered NaN years ago.

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

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Page mimics Microsoft/Xbox branding on a new pages.dev subdomain without credential collection; moderate risk due to brand impersonation.

Risk Factors
Brand impersonation on an unranked, likely new subdomain
Unknown domain age (potentially brand‑new)
Use of a free hosting platform for brand‑related content
Safety Factors
No malicious Indicators of Compromise matches found
No JavaScript YARA malware patterns detected
No network IDS alerts
No password or payment fields in the form
Page title indicates request was blocked (no active content served)
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), 'htfidw.pages.dev' is registered; it also runs on subdomain 'htfidw'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. It segments into one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.70s
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
413.107.213.44Germany
123.67.142.13Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1146.75.121.91Germany
120.190.159.130GermanyUnknown
123.197.128.15GermanyUnknown
120.190.160.67GermanyUnknown
120.250.198.32GermanyUnknown
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
113.107.246.44GermanyUnknown
12.23.7.32GermanyUnknown
1512--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11114C731F0F1B53A868F31FAE5595755BA93EB8397848FF3B08E45181F82798AE03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:hnzTypeyiYHDms0Ns0B3V0/KKVEBopgzBP4UQK/Q/B9G3cYJ9lBnRfWDRT3nzE9J:odidsssi0CUEqpPfHK0mvqABeW5l0A44

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198720:yDMrHEQpKbq8ANGBQUQABsgMQEkGGIbwkQhYyAWHgGGREBCBAgEh0gBBYMB/LmCMWDUDAhNFVZFmEjiARgPWSAGiQ5OIQE2E

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:#409fbf

Scan History

Scan history not available

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