Security Scan Report: peakvistapressblog-7znl34ppkl.edgeone.app

Site favicon
Submitted: May 22, 2026, 9:55:46 PMCompleted: May 22, 2026, 9:57:51 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 12 HTTP transactions. The main domain is peakvistapressblog-7znl34ppkl.edgeone.app and was registered NaN years ago.

Submitted URL: https://peakvistapressblog-7znl34ppkl.edgeone.app/13860-european-cup-winning-legends-john-mcgovern-and-peter-withe-believe-nottingham-forest-and-aston-villa.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

Low risk informational article; no malicious activity detected.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain reputation (rank >100k)
High JavaScript obfuscation score
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware signatures
Page type is article (informational), not impersonating a brand
Domain age information unavailable

Details

Page Title

European Cup-winning legends John McGovern and Peter Withe believe Nottingham Forest and Aston Villa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'peakvistapressblog-7znl34ppkl.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'peakvistapressblog-7znl34ppkl'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals two 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://peakvistapressblog-7znl34ppkl.edgeone.app/13860-european-cup-winning-legends-john-mcgovern-and-peter-withe-believe-nottingham-forest-and-aston-villa.html

Page Load Overview

57.18s
Total Load Time
18
HTTP Requests
13
Domains
32 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:4,564 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2142.251.127.95United States
AS15169Google LLC
2142.251.13.94United States
AS15169Google LLC
2104.18.10.207United States
AS13335Cloudflare, Inc.
188--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF72EA23F780213C2A7106457486B6BC7B2EC476E792C8A075ADB33DE7C2ADB5471789

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMhchnYf8zX+MsxXzJ/cjEXyqRy+5zjZP/XsDvnzYTdag4lDw:bQGhnz+MsJU+yP+5VvsDrYTdag4xw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16119:ISqDARRRgJI5NkABkmAi4UfMVyAALQwyRzEAWHCY0KBrEEIIs1OLkAYhHespgstJQFLYSTgAAEnUBlMookAlcyxAgizhxMoP

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:83c7c3c3c3c3ffff
Perceptual Hash:b4388b286e4e6dcb
Difference Hash:0f1e161616161e40
Wavelet Hash:81c2c2c2c3c3cffe
Color Hash:#40bfa8

Other Hashes

Crop Resistant:0f1e161616161e40

Scan History

Scan history not available

Unable to load historical scan data