Security Scan Report: metrosafetycorpblog-vd7eyjlmxb.edgeone.app

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Submitted: May 24, 2026, 3:07:40 PMCompleted: May 24, 2026, 3:09:19 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is metrosafetycorpblog-vd7eyjlmxb.edgeone.app and was registered NaN years ago.

Submitted URL: https://metrosafetycorpblog-vd7eyjlmxb.edgeone.app/20573-arlesey-town-fc-21-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: 62%

5
Risk Score

The page is an article with moderate risk due to unknown subdomain age and low reputation, but no malicious forms or indicators were found.

Risk Factors
Unknown subdomain age
Low domain reputation
Brand mention on low‑ranked, untrusted domain
High JS obfuscation (potentially hidden malicious code)
Safety Factors
Page type is an article (og:type="article")
No forms or credential collection
No Indicators of Compromise matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Arlesey Town FC: 21 Football Club Facts

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(53%)

Domain Information

The domain name 'metrosafetycorpblog-vd7eyjlmxb.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'metrosafetycorpblog-vd7eyjlmxb'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. It segments into 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metrosafetycorpblog-vd7eyjlmxb.edgeone.app/20573-arlesey-town-fc-21-football-club-facts.html

Page Load Overview

28.97s
Total Load Time
17
HTTP Requests
13
Domains
33 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:11,289 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

social media network
53%
forum community discussion
35%
corporate
35%
news media journalism
29%
adult content
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.18.10.207United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2142.251.14.94United States
AS15169Google LLC
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162A21A33F748232DF65302D8A59AB3ED6A3CCC1FA7894AD1608C532423453D7AA77D98

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqM9hnYf8zX+OPJvyTPIIOxu6zTqAa45Sjl4WL9mXwzYTdag4lDd:bQ9hnz+OPJvyTPIlQ3L9miYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22227:EkFBQMGokZIPABDRQMHpAOl5IMRBAzhTRypEwOAg1iC7d6AAMZkxksrBIAAYgQgIwQBo81ACOCgCIICIMiMlP0AgAqAK0gJS

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:c7cfc3c3c3c3c3c7
Perceptual Hash:b5d3c330c764c665
Difference Hash:1e1a161616161616
Wavelet Hash:c3cfc2c2c3c3c3c3
Color Hash:#68783a

Other Hashes

Crop Resistant:1e1a161616161616

Scan History

Scan history not available

Unable to load historical scan data