Security Scan Report: mailsysmailfavefave-2p2y552xb5.edgeone.app

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Submitted: May 22, 2026, 3:02:03 AMCompleted: May 22, 2026, 3:04:41 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is mailsysmailfavefave-2p2y552xb5.edgeone.app and was registered NaN years ago.

Submitted URL: https://mailsysmailfavefave-2p2y552xb5.edgeone.app/16223-the-making-of-miss-dior-rose-nroses-perfume.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The site shows high risk due to a malicious external domain indicator, unknown subdomain age, and low reputation, though it lacks credential forms.

Risk Factors
External malicious domain Indicator of Compromise
Unknown subdomain age on hosting platform
Low domain reputation ranking
High JavaScript obfuscation
Brand name appears in meta tags without official domain
Domain age information unavailable

Details

Page Title

The making of Miss Dior Rose n'Roses perfume

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(50%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mailsysmailfavefave-2p2y552xb5.edgeone.app' is registered and includes subdomain 'mailsysmailfavefave-2p2y552xb5'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mailsysmailfavefave-2p2y552xb5.edgeone.app/16223-the-making-of-miss-dior-rose-nroses-perfume.html

Page Load Overview

45.86s
Total Load Time
19
HTTP Requests
14
Domains
32 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:5,236 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

download file sharing
50%
adult content
41%
education learning
38%
corporate
35%
blog personal website
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.10.207United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2142.251.14.95United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106721B33E780123D1B720285A4C9F3FCFA299425D75289F9F8ACA33947CB9DB457A644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqM/hnYf8zX+AGvqEuJ/cDrB+QLLDo+B2TaY5mag4gDw:bQ/hnz+AGvqEuJUDrBxLHv8WY5mag48w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16590:AAJJKXAWCJFagiJGREACAccCUAEIAAhVsggApeEAtCQBk3IGgEIlFaACkJmLGHB0IEOSCrmIAAAsulKhrAHisARNiAqARgKC

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:80cfc3c3c3c3c3ff
Perceptual Hash:b50b9b38cb2c4d6c
Difference Hash:0e1e161616161e1e
Wavelet Hash:00c7c3c3c3c3c3df
Color Hash:#c5878e

Other Hashes

Crop Resistant:0e1e161616161e1e

Scan History

Scan history not available

Unable to load historical scan data