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Security Scan Report: teespringshophugo-0m17euibfp.edgeone.app

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Submitted: May 20, 2026, 8:58:47 AMCompleted: May 20, 2026, 9:00:07 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is teespringshophugo-0m17euibfp.edgeone.app and was registered NaN years ago.

Submitted URL: https://teespringshophugo-0m17euibfp.edgeone.app/19444-hazel-krasinski.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

The site shows low risk with no malicious activity, but the subdomain age is unknown, so proceed with normal caution.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking
High JavaScript obfuscation score
Safety Factors
Page type is article (og:type=article)
No forms or credential collection
No malicious IoC or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Hazel Krasinski

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(79%)

Domain Information

Domain 'teespringshophugo-0m17euibfp.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'teespringshophugo-0m17euibfp'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. It segments into 2 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://teespringshophugo-0m17euibfp.edgeone.app/19444-hazel-krasinski.html

Page Load Overview

12.40s
Total Load Time
20
HTTP Requests
12
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:4,199 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
79%
entertainment media
68%
government public service
60%
finance banking
59%
news media journalism
59%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.240.108.84United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.250.154.94United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
207--

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

T1D162092BF740232CA72A0276A4D1F27E7974C407D3664CA46DDAEB28A7C37D724B654C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GFhnYf8zX+CCJKJpJ/cW6QhPfJmD5EtYYrWag4MDw:FFhnz+CpJUmhPfAD5VYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15308:QJzNxhkNLwECcANWAAASLGAEBX8hDBIhWRKAiTFDhEJC2ALQUX7FABEQGUHwDpAAZ7JJQgVA2IAoqY1zWm4CRuAGLACIoECB

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:00000000003000ff
Perceptual Hash:823aed02df169e0f
Difference Hash:c181c1c9d1d140c5
Wavelet Hash:3c003c3c3c3c3cff
Color Hash:#783a62

Other Hashes

Crop Resistant:c181c1c9d1d140c5,c1c1d1c9d1c1d1c1

Scan History

Scan history not available

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