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

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Submitted: May 18, 2026, 11:20:57 AMCompleted: May 18, 2026, 11:22:20 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is teespringshophugo-0m17euibfp.edgeone.app and was registered NaN years ago.

Submitted URL: https://teespringshophugo-0m17euibfp.edgeone.app/10668-a-book-of-farewells-christopher-isherwoods-goodbye-to-berlin.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site shows no malicious forms or indicators; only low‑risk factors like unknown subdomain age and low ranking are present.

Risk Factors
Subdomain on a hosting platform with unknown creation date
Low domain reputation ranking (455,732)
High JavaScript obfuscation score (normal for minified code, but noted)
Safety Factors
Page type is article (og:type=article) – content‑only, not credential collection
No malicious Indicators of Compromise or YARA matches
No network‑level IDS alerts
No external form submissions or credential exfiltration
Domain age information unavailable

Details

Page Title

A book of farewells: Christopher Isherwood's Goodbye to Berlin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain name 'teespringshophugo-0m17euibfp.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'teespringshophugo-0m17euibfp'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://teespringshophugo-0m17euibfp.edgeone.app/10668-a-book-of-farewells-christopher-isherwoods-goodbye-to-berlin.html

Page Load Overview

15.35s
Total Load Time
19
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:3,171 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
entertainment media
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.20.7.223United States
AS13335Cloudflare, Inc.
2142.250.154.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2192.178.170.95United States
AS15169Google LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
198--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E523A53FA81503857A18294D4C1F67C783AC06AE3524CF9E8F8E3349786AE708759E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:2GBhnYf8zX+WmJKJpi60oMxX/I7MPjfYYrWag4MDoq2:FBhnz+WdSoMd/I7MPkYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13796:bZ4EFUGSoShFQAl1ACgATiCLJGcTLACExCA0BCHJFWYCxQiEzAcQQFARDBkQIowOyxggMkTkIZo+IAqCBBNAoIAQagBREjRA

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:3c203c3c7c3c0018
Perceptual Hash:c963cd679c369832
Difference Hash:e0c0c8c0c4d000b2
Wavelet Hash:3c787c7e7e7c0018
Color Hash:#81e06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data