Security Scan Report: jfflonlinehugo-wtlittsh7o.edgeone.app

Site favicon
Submitted: May 18, 2026, 6:26:13 PMCompleted: May 18, 2026, 6:28:50 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 16 HTTP transactions. The main domain is jfflonlinehugo-wtlittsh7o.edgeone.app and was registered NaN years ago.

Submitted URL: https://jfflonlinehugo-wtlittsh7o.edgeone.app/20400-west-ham-united-fc-17-football-club-facts.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page is a news article about West Ham United; moderate risk due to a new, low‑rank subdomain, but no malicious activity observed.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
Brand mention on a low‑reputation, unrelated domain
Safety Factors
Page type og:type=article indicates news/reporting content
No forms or credential collection
No Indicators of Compromise matched
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

West Ham United FC: 17 Football Club Facts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(65%)

Domain Information

Domain 'jfflonlinehugo-wtlittsh7o.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'jfflonlinehugo-wtlittsh7o'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jfflonlinehugo-wtlittsh7o.edgeone.app/20400-west-ham-united-fc-17-football-club-facts.html

Page Load Overview

90.12s
Total Load Time
16
HTTP Requests
9
Domains
129 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:1,360 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
65%
news media journalism
55%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2192.178.170.95United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
168--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D421B37FA80023CBB3256F9A4D0F67D3C69841BCB8689B479D6B72D82C67C748515C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Pe6KwFHm6D3VomvPYf85ZEQV+vAa7JKJWEI8XRyC2RTiXxLrYYrWag4ofCvydAXh:ZGQhnYf8zX+vHJKJJI8XR9qKPYYrWagQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12285:Q2HoqUI2QAxCMKA0cACKqhCynQUQABgPQWADIdnAYAEBnCCGkoQDisiIogU0ARSUQRYQgEgsSIZC8l0APIsghGBQaeGgFVQB

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:019f8383d7ffffff
Perceptual Hash:bc399393393961c5
Difference Hash:1e38072f26000004
Wavelet Hash:009f818180e7ffe7
Color Hash:#6853ac

Other Hashes

Crop Resistant:1e38072f26000004

Scan History

Scan history not available

Unable to load historical scan data