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Security Scan Report: receipehubfave-s7ozhfsovi.edgeone.app

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Submitted: May 21, 2026, 10:38:03 PMCompleted: May 21, 2026, 10:40:41 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 13 HTTP transactions. The main domain is receipehubfave-s7ozhfsovi.edgeone.app and was registered NaN years ago.

Submitted URL: https://receipehubfave-s7ozhfsovi.edgeone.app/21242-31-facts-about-martin-lawrence.html

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

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

The site hosts an article but links to a known malicious domain and uses heavily obfuscated JavaScript; treat as high‑risk and avoid.

Risk Factors
External malicious domain reference
Unknown subdomain age on a hosting platform
Low reputation ranking
Highly obfuscated JavaScript
Domain age information unavailable

Details

Page Title

31 Facts about Martin Lawrence

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(100%)

Domain Information

Domain 'receipehubfave-s7ozhfsovi.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'receipehubfave-s7ozhfsovi'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. It segments into 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://receipehubfave-s7ozhfsovi.edgeone.app/21242-31-facts-about-martin-lawrence.html

Page Load Overview

90.12s
Total Load Time
17
HTTP Requests
11
Domains
107 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:15,403 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media100% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
100%
adult content
84%
news media journalism
80%
education learning
76%
phishing scam
72%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.108.76United States
AS7979Servers.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
178--

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

T1E6C21B57EB8512E83B320349114B72ABFD1A8706738D4990BC7E567E4E4B4F78137AAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qhnz+K7JUKcLqO1HS/D+0wYHaxDRTE4VsdhjfPXY5mag48w:yKxLqO1yL+0pa744VsdpnY5mag48w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26747:BJAAFQ2gNYuFAiEgFgBQJyAB8RlKwgtOUYSKAkps2ChAkiGII1KWEpApF9EzOMoIQUBAWgCgDQgggSoSlCMWiw1CITwgok9Q

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:00003c3c3c3c00ff
Perceptual Hash:8267ed6aed06bd02
Difference Hash:c9c9d1c9c9c1d1d1
Wavelet Hash:20383c3c3c3c3cff
Color Hash:#79d2cb

Other Hashes

Crop Resistant:c9c9d1c9c9c1d1d1,c9c1d0c8c9c9c1d1

Scan History

Scan history not available

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