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Security Scan Report: nambaongusitus-qz8a7cqopf.edgeone.app

Submitted: May 24, 2026, 11:01:52 AMCompleted: May 24, 2026, 11:03:54 AMpubliccompleted
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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 nambaongusitus-qz8a7cqopf.edgeone.app and was registered NaN years ago.

Submitted URL: https://nambaongusitus-qz8a7cqopf.edgeone.app/23080-jason-sudeikis-and-hannah-waddingham-sing-shallow-at-charity-show.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears to be a low‑risk news article page with no phishing or malware indicators.

Risk Factors
Subdomain on a hosting platform with unknown creation date
High JavaScript obfuscation score (though not linked to malware)
Safety Factors
Absence of forms that collect credentials or payment information
No malicious Indicators of Compromise detected
Meta tags indicate a news article, not a phishing login page
Domain ranking low but no claim to be a well‑known brand
Domain age information unavailable

Details

Page Title

Jason Sudeikis and Hannah Waddingham Sing Shallow at Charity Show

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'nambaongusitus-qz8a7cqopf.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'nambaongusitus-qz8a7cqopf'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 consonants. Segmentation suggests 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://nambaongusitus-qz8a7cqopf.edgeone.app/23080-jason-sudeikis-and-hannah-waddingham-sing-shallow-at-charity-show.html

Page Load Overview

53.63s
Total Load Time
17
HTTP Requests
13
Domains
31 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:3,227 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
3104.18.10.207United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
178--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
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

T1DF5209B3FE84663C27114295A582B2BCB72A5433D7828DD475EDE33D8B83BCB9831944

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqM4hnYf8zX+Q1EKiWJgEAyMm82JG0zYTdag4lDd:bQ4hnz+u1J4y/JpYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14336:QkAoxQCXU5YIjERRAgCAAQryQFWEKShaK5EamcDhczMX0WIgtMAxkwwwUwIIoBIQgSJ0cVjqEIQIUIoBKuYsEBiJgAYAwEeg

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:81c3c3c3c3ffffff
Perceptual Hash:b53ccf8b384f0a2c
Difference Hash:2b16161e1e180000
Wavelet Hash:80c2c2c2c2cefefe
Color Hash:#bf4440

Other Hashes

Crop Resistant:2b16161e1e180000

Scan History

Scan history not available

Unable to load historical scan data