Security Scan Report: bigfundothanblog-ftd3z2osls.edgeone.app

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Submitted: May 24, 2026, 8:48:53 AMCompleted: May 24, 2026, 8:50:14 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 bigfundothanblog-ftd3z2osls.edgeone.app and was registered NaN years ago.

Submitted URL: https://bigfundothanblog-ftd3z2osls.edgeone.app/14337-vance-joseph.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low‑risk article page; no malicious activity detected, but unknown subdomain age suggests cautious browsing.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (though no malware detected)
Safety Factors
Page type is an article (og:type=article) – not a phishing login page
No credential exfiltration or cross‑origin form submissions
No malicious IoC or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Vance Joseph

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(66%)

Domain Information

Within the application-focused generic top-level domain (.app), 'bigfundothanblog-ftd3z2osls.edgeone.app' is registered with subdomain 'bigfundothanblog-ftd3z2osls'. Count 7 characters in 'edgeone' holding 4 vowels versus three consonants. Segmentation suggests 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://bigfundothanblog-ftd3z2osls.edgeone.app/14337-vance-joseph.html

Page Load Overview

11.01s
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:4,401 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
66%
social media network
51%
healthcare medical
41%
corporate
35%
government public service
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.11.207United States
AS13335Cloudflare, Inc.
2142.251.13.94United States
AS15169Google LLC
2192.178.183.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18262FC37FF44213C7B120AD96086B2FDBE3DD026E79A8CB474A9933857C66CB54B9148

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMWhnYf8zX+Sk6dx8JVy8ZpQivzYTdag4lDd:bQWhnz+Sk6dx8JVy8ZpQUYTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15117:Q6pYkoCwBpYIRFMUAApYFYCESAEQEygTfzgMKlCsVCwLUAYJcIgsGgg2IY2IiCgABHeQwbgTBIdWkQQBcQ2sUIgSCAAIuqpA

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:c3dfc3c3c3c3c3ff
Perceptual Hash:b59cca74c3646173
Difference Hash:96321e161e161e10
Wavelet Hash:c2dec2c2c2c2c2ff
Color Hash:#4a862d

Other Hashes

Crop Resistant:96321e161e161e10

Scan History

Scan history not available

Unable to load historical scan data