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Security Scan Report: fxdgejssitus-99dc4ba135-dppyrbk4lg1f.edgeone.dev

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Submitted: Jun 30, 2026, 6:34:45 AMCompleted: Jun 30, 2026, 6:35:54 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is fxdgejssitus-99dc4ba135-dppyrbk4lg1f.edgeone.dev and was registered NaN years ago.

Submitted URL: https://fxdgejssitus-99dc4ba135-dppyrbk4lg1f.edgeone.dev/cameron-brink-basketball-player.html

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

The page is a simple article without credential collection, but the unknown subdomain and heavily obfuscated JavaScript raise moderate risk.

Risk Factors
Unknown subdomain age
High JavaScript obfuscation
Unranked / low‑reputation domain
Safety Factors
No forms collecting credentials or payment data
No external malicious links or known IoC
No malware signatures or network‑level alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Cameron Brink: Rising Star in Basketball

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(93%)

Domain Information

Domain 'fxdgejssitus-99dc4ba135-dppyrbk4lg1f.edgeone.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'fxdgejssitus-99dc4ba135-dppyrbk4lg1f'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fxdgejssitus-99dc4ba135-dppyrbk4lg1f.edgeone.dev/cameron-brink-basketball-player.html

Page Load Overview

1.98s
Total Load Time
15
HTTP Requests
10
Domains
687 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:2,921 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

download file sharing
93%
blog personal website
90%
cryptocurrency blockchain
88%
government public service
79%
forum community discussion
76%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.14.95United States
AS15169Google LLC
3172.240.127.244United States
AS7979Servers.com, Inc.
343.174.246.29Singapore
AS139341ACE
3104.26.12.215United States
AS13335Cloudflare, Inc.
3172.67.150.240United States
AS13335Cloudflare, Inc.
155--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16D620A27F781523CAB3142599195F3BCB968842FE795CDE0B4D8772C8BC66C784B0768

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:je6KwFHm6T3VomvPYf85ZEQV+QG3lfRfT8masFf5VgxsU9l+orWag4ofC+fUwvVb:dGQhnYf8zX+f3T8Vhl+orWag4MVz9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15720:IpqoYkqVUA3QJnAakf0ASwdEYQAgGBElMRgC5QIBJYGAKxmZCwAUEkAIcgAnGQgMABgmLAQHBkQ0eYCUKKUqgkv5JKBvgJJO

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:828fffcfc39f8387
Perceptual Hash:bcd3383938619ce3
Difference Hash:1e38000b2f322f3f
Wavelet Hash:00feffc383838387
Color Hash:#c58787

Other Hashes

Crop Resistant:1e38000b2f322f3f

Scan History

Scan history not available

Unable to load historical scan data