Security Scan Report: cdestft1.pages.dev

Redirected to: https://cdestft1.pages.dev/

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Submitted: Mar 4, 2026, 2:10:41 AMCompleted: Mar 4, 2026, 2:11:53 AMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 14 domains to perform 116 HTTP transactions. The main domain is cdestft1.pages.dev and was registered NaN years ago.

Submitted URL: http://cdestft1.pages.dev/

Effective URL: https://cdestft1.pages.dev/Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Site mimics Microsoft on a new pages.dev subdomain; likely phishing – do not trust.

Risk Factors
Brand impersonation on an unusual, unranked domain
New/unknown subdomain age (potentially <30 days)
Hosted on free .pages.dev subdomain
Blocked request page – likely placeholder for phishing content
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 'cdestft1.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'cdestft1'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://cdestft1.pages.dev/

Page Load Overview

0.73s
Total Load Time
15
HTTP Requests
8
Domains
209 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
313.107.246.45Germany
123.197.128.15Germany
123.67.142.13Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1146.75.121.91GermanyUnknown
123.36.162.222GermanyUnknown
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
113.107.213.44GermanyUnknown
120.190.160.131GermanyUnknown
12.21.20.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
120.190.159.129GermanyUnknown
1513--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A14B731F0F1B53A868F31FAE5595755BA93EB8397848FF2B08E45181F82798EE03059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:dnzTypayi0HDms0Ns0B3V0/KKVEBopgzBP4UQK/Q/B9G3cYJ9lBnRfWDRT3nzE9X:Ehi5sssi0CUEqpPfHyTmvqAZeW5l0A4Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:198720:iyIYwwckEkainCCojMaFmCSJkmEQPAYQjgQKBBkYQ5HRgA0iBwC6mjBOAIgULOjBCCUxRkhAJNcFMIqPSCGMTTfBQBmJSzZJ

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:#e08b6c

Scan History

Scan history not available

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