Security Scan Report: powerpetdoorhugo-zcuhw66zp5.edgeone.app

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Submitted: May 19, 2026, 7:00:05 AMCompleted: May 19, 2026, 7:01:26 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 14 HTTP transactions. The main domain is powerpetdoorhugo-zcuhw66zp5.edgeone.app and was registered NaN years ago.

Submitted URL: https://powerpetdoorhugo-zcuhw66zp5.edgeone.app/16089-30-facts-about-the-movie-the-italian-job.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%

3
Risk Score

The site appears to be a low‑risk article page; no phishing or malware indicators were found, though the subdomain is newly created and has a low reputation.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
High JavaScript obfuscation score
Safety Factors
Page type is an article (og:type=article) with no brand impersonation
No forms or credential exfiltration detected
No malicious Indicators of Compromise or YARA matches
Domain age information unavailable

Details

Page Title

30 Facts about the movie The Italian Job

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(90%)

Domain Information

The domain name 'powerpetdoorhugo-zcuhw66zp5.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'powerpetdoorhugo-zcuhw66zp5'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://powerpetdoorhugo-zcuhw66zp5.edgeone.app/16089-30-facts-about-the-movie-the-italian-job.html

Page Load Overview

12.89s
Total Load Time
19
HTTP Requests
13
Domains
30 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:1,376 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
90%
news media journalism
49%
corporate business
44%
government public service
36%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.11.207United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2142.251.127.95United States
AS15169Google LLC
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C42F933FB90202C6B1313897485B2FC7D2E5423D78588E4B5EEB73957CA2C746B6698

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMwhnYf8zX+rmJKJWJUEr4zYrWag4MDoq+:bQwhnz+rSJUEGYrWag4Aoq+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12797:A6ADGQgyFtIYBIClDMKP3yDTQSoAQQ0SAAQpF0kYMmErWGAAtjZF0iKiNcMo0gcCBAQYSTAxBAVAAzaQIAEkMCggqjEQCy5A

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:00cfc3c3ffffffff
Perceptual Hash:b5380bcb222c6ecf
Difference Hash:1d18061e1000000c
Wavelet Hash:0086c282cefefee6
Color Hash:#d4e06c

Other Hashes

Crop Resistant:1d18061e1000000c

Scan History

Scan history not available

Unable to load historical scan data