Security Scan Report: mailjustifhugo-pgcsilb2wl.edgeone.app

Site favicon
Submitted: May 18, 2026, 2:05:12 PMCompleted: May 18, 2026, 2:07:50 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is mailjustifhugo-pgcsilb2wl.edgeone.app and was registered NaN years ago.

Submitted URL: https://mailjustifhugo-pgcsilb2wl.edgeone.app/15051-meet-jack-fisk-one-of-americas-finest-production-designers.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site appears to be a low‑risk informational article with no phishing or malware indicators, though the subdomain is newly created and has a low reputation ranking.

Risk Factors
Unknown subdomain age on hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (indicative of heavy minification)
Safety Factors
Page type is article (og:type=article) – no brand impersonation
No forms or credential collection mechanisms
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Meet Jack Fisk, One of Americas Finest Production Designers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(47%)

Domain Information

The domain 'mailjustifhugo-pgcsilb2wl.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mailjustifhugo-pgcsilb2wl'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Splitting it apart reveals two 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://mailjustifhugo-pgcsilb2wl.edgeone.app/15051-meet-jack-fisk-one-of-americas-finest-production-designers.html

Page Load Overview

90.13s
Total Load Time
16
HTTP Requests
9
Domains
81 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:4,856 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
47%
corporate
35%
adult content
25%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.96.3United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2192.178.183.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2192.178.170.95United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
168--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC62F8A3F941223C27734190E592B2EDBD3D8423D7D18CA548D9E22D9782AF717B72D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jEhnYf8zX+wwJKJyRZ2gRWqYXMlePZ7YYrWag4MDoq2:jEhnz+wcHBvZQcYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15063:FFQAAAyJGgVUCoZAKlgU2OCGXayykrjbOaAimAWC3AMIgaDzgTAgB5FyyJdFBBCWVABmEaRiTUiqAAIYEiQIGjAMkVKxITDB

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:38203c7c7c3c0018
Perceptual Hash:c9671d639c369836
Difference Hash:f2c2c8c0c0d04eb2
Wavelet Hash:f8787c7e7c7c0018
Color Hash:#c5bb87

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data