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Security Scan Report: portcerealistahugo-u0ssdu7xjg.edgeone.app

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Submitted: May 18, 2026, 5:26:03 PMCompleted: May 18, 2026, 5:27:22 PMpubliccompleted
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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 portcerealistahugo-u0ssdu7xjg.edgeone.app and was registered NaN years ago.

Submitted URL: https://portcerealistahugo-u0ssdu7xjg.edgeone.app/10147-meet-conni-momoa-actor-jason-namakaeha-momoas-american-mother.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 site shows moderate risk due to unknown subdomain age, low reputation, and high JS obfuscation, but lacks credential collection or confirmed malware.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JS obfuscation (potentially hidden malicious code)
Possible brand impersonation flag (Twitter branding on unrelated domain)
Adult‑content classification confidence from ML model
Safety Factors
No forms collecting credentials or payments
No malicious Indicators of Compromise matched
No network IDS alerts
Page type is article (og:type=article), indicating news/reporting
Domain age information unavailable

Details

Page Title

Meet Conni Momoa, actor Jason Namakaeha Momoa's American mother

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(36%)

Domain Information

Domain 'portcerealistahugo-u0ssdu7xjg.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'portcerealistahugo-u0ssdu7xjg'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://portcerealistahugo-u0ssdu7xjg.edgeone.app/10147-meet-conni-momoa-actor-jason-namakaeha-momoas-american-mother.html

Page Load Overview

12.01s
Total Load Time
19
HTTP Requests
12
Domains
104 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:4,932 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
36%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.20.94United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
198--

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

T13A622B136543622837D3829A91C8F2ACBA3AF009E3958DEC5DE5AB36C3C56C74777178

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KYhnYf8zX+8xTnOWJKJYr8+bfQCxXC1LxdSc7REYYrWag4MDoq2:/hnz+ApXfQCxy1LN/YrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15730:oIkZIAjAmAF+UWQGAQPICKIEsI+KkG3I0BMIQXExlMgg4HTwFIFggAeDECGiyyHBQyUgUACWok0XM0AQhjAqvCIBBAAFEBHk

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:c7ffc383838383ff
Perceptual Hash:bc90c33c913973cb
Difference Hash:1e3c2f3f372f2708
Wavelet Hash:c7cf8183818383ff
Color Hash:#d22d6f

Other Hashes

Crop Resistant:1e3c2f3f372f2708

Scan History

Scan history not available

Unable to load historical scan data