Security Scan Report: mimirfrederiksene.pages.dev

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Submitted: Dec 21, 2025, 5:51:30 AMCompleted: Dec 21, 2025, 5:52:01 AMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 17 domains to perform 44 HTTP transactions. The main domain is mimirfrederiksene.pages.dev and was registered NaN years ago.

Submitted URL: https://mimirfrederiksene.pages.dev/vudga-att-calls-not-going-through-2025-ghcmu/

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Impersonates AT&T on an unranked domain; likely phishing.

Risk Factors
Brand impersonation on a non‑official, unranked domain
Domain does not match the displayed AT&T brand
Domain age information unavailable

Details

Page Title

At&T Calls Not Going Through 2025 - Mimir E. Frederiksen

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(43%)

Domain Information

You're looking at domain 'mimirfrederiksene.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'mimirfrederiksene'. The core label 'pages' covers 5 characters holding two vowels versus three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mimirfrederiksene.pages.dev/vudga-att-calls-not-going-through-2025-ghcmu/

Page Load Overview

14.51s
Total Load Time
44
HTTP Requests
17
Domains
964 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:3,180 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
43%
social media network
36%
documentation technical
34%
news/blog
30%
technology software
30%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.23.96United States
AS13335CLOUDFLARENET
2146.75.121.175Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2172.66.47.90United States
AS13335CLOUDFLARENET
2172.66.44.166United States
AS13335CLOUDFLARENET
2172.66.169.241United States
AS13335CLOUDFLARENET
2146.75.122.154Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2172.67.180.98United States
AS13335CLOUDFLARENET
2172.217.18.10United States
AS15169GOOGLE
4419--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C233A35D5E505736B0B83DCA561B729FAA1EA15CA039BA570FC82A42FC4CF7047362E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:A2HZdapzUB3pvEabagkST9Z4gIALw07EUeWBiC/QcA3o7D4l72LfdTmIQCnA7WE:AGapYGYT9agIALw07zeWEJPo7D4l72L6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46896:A/5AAaKyXAO9UBwAj80BkXAAMSXgQIArosgYgAEAZUA2EBGQQgKrRJGxAIGACkBgkSCoBgChhiNSARIGBSkGeuEDRByxgiK1

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:3f3fff18f80f1fb9
Perceptual Hash:8b87a5334b1cf5e0
Difference Hash:70683071311c3973
Wavelet Hash:3e1fff1818071d19
Color Hash:#6ce073

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data