Security Scan Report: basiljayhugo-pc6ufai3a7.edgeone.app

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Submitted: May 19, 2026, 7:32:57 AMCompleted: May 19, 2026, 7:34:24 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 16 HTTP transactions. The main domain is basiljayhugo-pc6ufai3a7.edgeone.app and was registered NaN years ago.

Submitted URL: https://basiljayhugo-pc6ufai3a7.edgeone.app/12187-my-life-in-nyc-revolved-around-drinking-after-i-got-laid-off-from-hinge-i-moved-across-the-country.html

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk article page; no phishing or malware indicators detected.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Subdomain age unknown, treated as potentially new
Safety Factors
No forms or credential collection
No malicious JavaScript or external command‑and‑control activity
Content appears to be a personal anecdote article, not a phishing page
Domain age information unavailable

Details

Page Title

My life in NYC revolved around drinking. After I got laid off from Hinge, I moved across the country

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(60%)

Domain Information

Domain 'basiljayhugo-pc6ufai3a7.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'basiljayhugo-pc6ufai3a7'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside three consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://basiljayhugo-pc6ufai3a7.edgeone.app/12187-my-life-in-nyc-revolved-around-drinking-after-i-got-laid-off-from-hinge-i-moved-across-the-country.html

Page Load Overview

19.50s
Total Load Time
32
HTTP Requests
14
Domains
133 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:8,835 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media60% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
60%
healthcare medical
51%
education learning
46%
documentation technical
45%
government public service
44%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.21.40.189United States
AS13335Cloudflare, Inc.
4172.66.169.241United States
AS13335Cloudflare, Inc.
4104.20.8.223United States
AS13335Cloudflare, Inc.
443.152.26.58Singapore
4142.251.13.95United States
AS15169Google LLC
4172.240.108.84United States
AS7979Servers.com, Inc.
4104.21.0.120United States
AS13335Cloudflare, Inc.
4142.251.14.94United States
AS15169Google LLC
328--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F922A2FF241033C1B320251B245F2BCFB29413F93A199B49C6B962953CB6EB297E5D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:OhnYf8zX+kDJKJtuLw8/zQiuwPXZwUU4q0qbYWLYYrWag4MD+n3:Ohnz+kiuL9z/WNmYrWag4A+n3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20644:MgYKhAzYCRAAhiG+RgkQcEIcQRVBDgIIhS0ihBNAzAHiEdjQLgUcUNCAYQJA0sSAcsIC0JABAEQIFAwYuDMgEARB7IlSJOIH

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:0000003c303000ff
Perceptual Hash:c23cbd46cd46ad0e
Difference Hash:e1c9e1c1c1c5c1c1
Wavelet Hash:3900007c7c7c7cff
Color Hash:#d2a62d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data