Security Scan Report: mailjustifhugo-pgcsilb2wl.edgeone.app

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Submitted: May 20, 2026, 5:41:29 PMCompleted: May 20, 2026, 5:42:54 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 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/15926-andover-new-street-fc-15-football-club-facts.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk news article; no phishing, malware, or credential collection detected.

Risk Factors
High JavaScript obfuscation score (normal for minified code)
Low Cisco Umbrella ranking (455,732) – weak signal
Safety Factors
Page type is an article (og:type=article) – content reporting, not impersonation
No external malicious links or credential exfiltration
No forms or hidden password fields
Domain age information unavailable

Details

Page Title

Andover New Street FC: 15 Football Club Facts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(75%)

Domain Information

The domain name 'mailjustifhugo-pgcsilb2wl.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mailjustifhugo-pgcsilb2wl'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. It segments into 2 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/15926-andover-new-street-fc-15-football-club-facts.html

Page Load Overview

16.57s
Total Load Time
20
HTTP Requests
12
Domains
87 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:8,832 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
75%
adult content
51%
forum community discussion
50%
government public service
43%
entertainment media
36%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.0.120United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2142.251.13.95United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.20.94United States
AS15169Google LLC
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169922917E644237EA3D38EB96445B1FC673A840BE741899860C5E33822D92F7A373BC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:j+hnYf8zX+CgJKJyJ/c7EqgHoRB+YgZSAHU3jh5jYYrWag4MDw:j+hnz+CMJU7vgIRhkpHUT4YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19660:IQkcWYAkhUICC8HAUsgBEAUYbWIVSUAgANyABBBBggINlGGH4OaEAjaRwQNkcgXCVSAwZtg4IEIYqLKBSAqFDBaAk62QEyEQ

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:0000003c3c3c20ff
Perceptual Hash:c26ded4abc1abc18
Difference Hash:f1c5d1c1c1c9c1c1
Wavelet Hash:19203c3c3c3c3cff
Color Hash:#d28b2d

Other Hashes

Scan History

Scan history not available

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