ScanMalware.com

Security Scan Report: ufijqqhugo-tdtlis2afx.edgeone.app

Site favicon
Submitted: May 20, 2026, 11:34:07 PMCompleted: May 20, 2026, 11:35:30 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is ufijqqhugo-tdtlis2afx.edgeone.app and was registered NaN years ago.

Submitted URL: https://ufijqqhugo-tdtlis2afx.edgeone.app/23703-david-spade-confirms-bachelor-in-paradise-hosting-gig.html

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

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

The site shows low risk indicators: unknown subdomain age, low ranking, no forms, and no malicious signatures.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking
High JavaScript obfuscation score (potentially suspicious code style)
Safety Factors
Page type is article (og:type=article) – content appears informational
No forms or credential collection mechanisms
No malicious Indicators of Compromise or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

David Spade Confirms Bachelor in Paradise Hosting Gig

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'ufijqqhugo-tdtlis2afx.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'ufijqqhugo-tdtlis2afx'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. It segments into 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ufijqqhugo-tdtlis2afx.edgeone.app/23703-david-spade-confirms-bachelor-in-paradise-hosting-gig.html

Page Load Overview

12.53s
Total Load Time
20
HTTP Requests
13
Domains
25 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:3,418 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
6101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.127.242United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.127.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2142.251.110.94United States
AS15169Google LLC
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

T1DA62E823E684111DB67246D0E0C7BA7CB67DC011E3428DE15EFC772A8FC66DB89B6248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GRhnYf8zX+Qo2m1XJKJSBJ/cH65Nx5JSL4TaqXwYYrWag4MDw:FRhnz+BLJUaNAL4TayYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14788:QYAYhJwQqTHDwDyyDG0AHCWqQKcBBqQmAEbICQhNVAACwAyABW8xUEA0gBhZIARAaVAWls1aG5IAMAhpABJihoNxJBDKADAC

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:00000024002000ff
Perceptual Hash:c34fed499a1c9a38
Difference Hash:f0c0dcc4c0c00002
Wavelet Hash:18703c7c7c7c00ff
Color Hash:#783a63

Other Hashes

Crop Resistant:0000000000000000,f0c0ccc4c0c0c011

Scan History

Scan history not available

Unable to load historical scan data