Security Scan Report: articlebeginfave-i771g0rf9r.edgeone.app

Site favicon
Submitted: May 22, 2026, 5:43:23 AMCompleted: May 22, 2026, 5:45:23 AMpubliccompleted
Loading additional data...

Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 12 HTTP transactions. The main domain is articlebeginfave-i771g0rf9r.edgeone.app and was registered NaN years ago.

Submitted URL: https://articlebeginfave-i771g0rf9r.edgeone.app/23667-paz-is-hurt-but-a-little-dumb-too.html

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The page is a high‑risk site due to a malicious external domain link, unknown subdomain age, low reputation, and heavily obfuscated JavaScript.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation (rank > 100k)
Presence of external malicious indicator domain
Highly obfuscated JavaScript
Domain age information unavailable

Details

Page Title

Paz is Hurt, But a Little Dumb Too

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(53%)

Domain Information

You're looking at domain 'articlebeginfave-i771g0rf9r.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'articlebeginfave-i771g0rf9r'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Splitting it apart reveals two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://articlebeginfave-i771g0rf9r.edgeone.app/23667-paz-is-hurt-but-a-little-dumb-too.html

Page Load Overview

46.58s
Total Load Time
19
HTTP Requests
14
Domains
34 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:8,610 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content53% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
53%
government public service
49%
entertainment media
41%
corporate
35%
news media journalism
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.108.68United States
AS7979Servers.com, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2192.178.183.94United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4920827E2C0033C6B121255554AB6FCBA29CC3DE3D1CCA468FDE32817825DBD67B6A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMyhnYf8zX+lIJ/c/B1GjDb0iODtuZYhZ+faY5mag4gDw:bQyhnz+lIJU/B0ODt/HFY5mag48w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20064:AwSTxkIgQOMLRSwsSqOiQwKTxcaKIgVKUALMoThGNzghBgABtDKWGqAAgCEAQgCUVsggGdiFGYYIBIxBAIBGF6pQWDRkFIeV

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:c3cfc3c3c3c3c3c3
Perceptual Hash:b5d1cb3ac6646664
Difference Hash:161e1616161e1606
Wavelet Hash:c3cfc2c2c3c3c3c3
Color Hash:#d27f79

Other Hashes

Crop Resistant:161e1616161e1606

Scan History

Scan history not available

Unable to load historical scan data