Security Scan Report: mailjustifhugo-pgcsilb2wl.edgeone.app

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Submitted: May 18, 2026, 7:05:31 PMCompleted: May 18, 2026, 7:06:58 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is mailjustifhugo-pgcsilb2wl.edgeone.app and was registered NaN years ago.

Submitted URL: https://mailjustifhugo-pgcsilb2wl.edgeone.app/11855-celebs-have-all-said-goodbye-to-fillers-and-botox.html

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Page appears to be a low‑risk informational article; no phishing or malware indicators detected.

Risk Factors
Unknown subdomain creation date (potentially brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
No login, payment, or credential forms
Page marked as article (og:type=article) – informational content
No malicious IoC or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Celebs Have All Said Goodbye To Fillers And Botox

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(53%)

Domain Information

The domain 'mailjustifhugo-pgcsilb2wl.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mailjustifhugo-pgcsilb2wl'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Word splitting yields 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://mailjustifhugo-pgcsilb2wl.edgeone.app/11855-celebs-have-all-said-goodbye-to-fillers-and-botox.html

Page Load Overview

19.12s
Total Load Time
19
HTTP Requests
12
Domains
88 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:7,908 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
53%
corporate
35%
documentation technical
30%
adult content
30%
healthcare medical
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5101.33.10.57Frankfurt am Main, Hesse, Germany
2172.66.169.241United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2172.240.108.84United States
AS7979Servers.com, Inc.
198--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183820A27F748122C1B728295E589B1BCFA76883DE3824C78185DE33C97875FB453A6E1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jthnYf8zX+ydJKJySZKMMI42NcKyqYXuAzUSYYrWag4MDoq2:jthnz+yLWKrI42F1AA1YrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18062:GtAARliECJuYQpueQIDB+AQWUIAQoBgShgAQUSAggIiF/CMBHnBg0QLvQSRARYOy1C0gY4EYnDSwCYSwKDA+MQcyP4QCAsEY

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:18203c3c3c3c3c3c
Perceptual Hash:ca77cc6798329c32
Difference Hash:f1c5d1c1c1c1c1f1
Wavelet Hash:19203c3c7c7c7c7c
Color Hash:#a3c587

Other Hashes

Scan History

Scan history not available

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