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Security Scan Report: picoiumhugo-n37mpymvzy.edgeone.app

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Submitted: May 18, 2026, 9:31:58 AMCompleted: May 18, 2026, 9:33:21 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is picoiumhugo-n37mpymvzy.edgeone.app and was registered NaN years ago.

Submitted URL: https://picoiumhugo-n37mpymvzy.edgeone.app/23739-pete-alonso.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 page; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Subdomain age unknown (could be newly created)
Low Cisco Umbrella ranking (455,732) for the subdomain
Safety Factors
No malicious Indicators of Compromise
No credential or payment forms
Content appears to be a news article, not a phishing page
Domain age information unavailable

Details

Page Title

Pete Alonso

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(58%)

Domain Information

Within the application-focused generic top-level domain (.app), 'picoiumhugo-n37mpymvzy.edgeone.app' is registered; it also runs on subdomain 'picoiumhugo-n37mpymvzy'. Count 7 characters in 'edgeone' with four vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://picoiumhugo-n37mpymvzy.edgeone.app/23739-pete-alonso.html

Page Load Overview

13.84s
Total Load Time
20
HTTP Requests
12
Domains
130 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:4,198 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
58%
government public service
55%
adult content
54%
entertainment media
50%
social media network
48%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.110.94United States
AS15169Google LLC
2192.178.183.95United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.108.76United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
208--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF621B2BF686123CBF21479AACC2F2BEBD308026D3F68D2474D5D76887C76C71566284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGRhnYf8zX+I5JKJgd84ZB/6mhpYYrWag4MDoq2:YRhnz+InlZnhaYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14938:cAQAUAaRYGwIcEBqUA09FtDMwkhAkViAgClEINx0SBASgxiT9w2DIFiAIICsizo8RJdRDoGwTOAIIKQMIslICOEQ5KEYeyyI

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:8fffc383c3838383
Perceptual Hash:bdd38b3338326961
Difference Hash:1e602a2e362e2f33
Wavelet Hash:8eff83c783838383
Color Hash:#7c79d2

Other Hashes

Crop Resistant:1e602a2e362e2f33

Scan History

Scan history not available

Unable to load historical scan data