Security Scan Report: bestminitrucksitustox-dpnlyb9gy5xe.edgeone.dev

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Submitted: Jun 10, 2026, 1:16:01 PMCompleted: Jun 10, 2026, 1:17:15 PMpubliccompleted
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Summary

This website contacted 14 IPs in 4 countries across 15 domains to perform 2 HTTP transactions. The main domain is bestminitrucksitustox-dpnlyb9gy5xe.edgeone.dev and was registered NaN years ago.

Submitted URL: https://bestminitrucksitustox-dpnlyb9gy5xe.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 45%

2
Risk Score

Low risk site on edgeone.dev subdomain; no forms or malware, unranked and age‑unknown, monitor but generally safe.

Risk Factors
Unranked domain reputation
Unknown subdomain age
Excessive redirects (9) without clear purpose
Safety Factors
No credential or payment collection forms
No JavaScript malware or behavioral threats detected
No network IDS alerts or external IoC links
Content appears to be entertainment/media, not brand impersonation
Domain age information unavailable

Details

Page Title

All The Easter Eggs In Taylor Swift's Outfits From Fortnight Music Video: From Victorian Mourning Dr

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(91%)

Domain Information

The domain name 'bestminitrucksitustox-dpnlyb9gy5xe.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'bestminitrucksitustox-dpnlyb9gy5xe'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bestminitrucksitustox-dpnlyb9gy5xe.edgeone.dev/

Page Load Overview

1.56s
Total Load Time
43
HTTP Requests
22
Domains
3.4 MB
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:4,362 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
91%
adult content
80%
news media journalism
58%
documentation technical
43%
government public service
42%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
478.128.60.53Bulgaria
AS57344Telehouse EAD
343.174.246.29Singapore
3192.0.66.112San Francisco, California, United States
AS2635Automattic, Inc
3104.26.4.30United States
AS13335Cloudflare, Inc.
3146.75.121.242Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3192.178.183.132United States
AS15169Google LLC
3172.67.73.104United States
AS13335Cloudflare, Inc.
3146.75.120.155Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3104.21.0.120United States
AS13335Cloudflare, Inc.
3172.240.127.244United States
AS7979Servers.com, Inc.
4314--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134D2D56655C84F3A42922347A0507AFCF46FEE07EB67C8E5A1AF739583C2DE7C961021

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Yhnz+AeYBMn/Ip4aPOsBH6ydPc5CnC6Uag4mo:BYBmIp4KOeHbBCBag4mo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28351:YCwAgVERQBgmJKAQJlQpbAACJARM0kFYVAIg0QlQQimIAUAACBUBEjkFIJZqUmVkmUn01y4GBMFAAAKnIoJAPVhEpUQg0PgC

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:c7c7ffff979f8783
Perceptual Hash:bee1613e3cc1c11e
Difference Hash:9e1e00262e382e36
Wavelet Hash:c2c2feff818f8380
Color Hash:#a86ce0

Other Hashes

Crop Resistant:9e1e00262e382e36

Scan History

Scan history not available

Unable to load historical scan data