Security Scan Report: corpheanhugo-aefuv90cq7.edgeone.app

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Submitted: Jul 1, 2026, 5:31:03 PMCompleted: Jul 1, 2026, 5:34:00 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is corpheanhugo-aefuv90cq7.edgeone.app and was registered NaN years ago.

Submitted URL: https://corpheanhugo-aefuv90cq7.edgeone.app/24774-jamarr-chase-bought-mom-a-maserati-paid-off-her-house-with-his-firs.html

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

The site hosts no forms but is served from a known‑malicious IP and uses an unknown sub‑domain, warranting a high‑risk rating.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Sub‑domain on a generic hosting platform with unknown age
Presence of a known‑malicious IP address serving the site
Safety Factors
Absence of credential or payment forms
No malicious JavaScript or YARA matches
No IDS alerts indicating phishing or malware
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 7 to 3
Domain age information unavailable

Details

Page Title

Ja'Marr Chase Bought Mom A Maserati, Paid Off Her House With His Firs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(69%)

Domain Information

The domain 'corpheanhugo-aefuv90cq7.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'corpheanhugo-aefuv90cq7'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://corpheanhugo-aefuv90cq7.edgeone.app/24774-jamarr-chase-bought-mom-a-maserati-paid-off-her-house-with-his-firs.html

Page Load Overview

2.42s
Total Load Time
16
HTTP Requests
11
Domains
31 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:2,686 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
69%
real estate property
68%
finance banking
63%
corporate
35%
documentation technical
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4101.33.10.10Frankfurt am Main, Hesse, Germany
3104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
374.125.29.95Google · CDNUnited States
AS15169Google LLC
3172.240.127.234United States
AS7979Servers.com, Inc.
3172.67.150.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
165--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142620937FA81513C5B620395E0C1B2BC7E298826D385CDF6B4BDF3299781AD78936584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMHhnYf8zX+mZJNeKpE2eJKJEJ2vLJdNjoOqVWzYrWag4MVZuDF:3QHhnz+OYJ6JXrzYrWag4WEZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14675:ioqQiiAOExB1wYwARDaYGLoGeAAAAaCQCGMSgEcg9g5mQXyIgCEFgEJUICYU4xBDDyCUEBAmwTUFIzYAzEYp+IAJAYBkFDF0

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:00c3e7c3c3c3c7ff
Perceptual Hash:b063cf385c4e4376
Difference Hash:090e0d160e160640
Wavelet Hash:00c3c3c3c3c3c3ff
Color Hash:#2d8630

Other Hashes

Crop Resistant:090e0d160e160640

Scan History

Scan history not available

Unable to load historical scan data