Security Scan Report: hatchertechhugo-oks6fkdy8b.edgeone.app

Submitted: May 19, 2026, 3:17:46 AMCompleted: May 19, 2026, 3:19:09 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 16 HTTP transactions. The main domain is hatchertechhugo-oks6fkdy8b.edgeone.app and was registered NaN years ago.

Submitted URL: https://hatchertechhugo-oks6fkdy8b.edgeone.app/11376-barbora-skrlov-wikipedia-woman-disguised-as-a-boy-to-escape-justice.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site appears to be a low‑risk news article with no malicious indicators, though the subdomain is newly created and unranked.

Risk Factors
Unknown subdomain age
Low Cisco Umbrella ranking (455,732) for the domain
Safety Factors
No forms or credential exfiltration
No malicious Indicators of Compromise or IDS alerts
Content classified as news/media journalism
Domain age information unavailable

Details

Page Title

Barbora Skrlov Wikipedia: Woman Disguised As A Boy To Escape Justice

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(78%)

Domain Information

Domain 'hatchertechhugo-oks6fkdy8b.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'hatchertechhugo-oks6fkdy8b'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Breaking it apart gives 2 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://hatchertechhugo-oks6fkdy8b.edgeone.app/11376-barbora-skrlov-wikipedia-woman-disguised-as-a-boy-to-escape-justice.html

Page Load Overview

12.89s
Total Load Time
20
HTTP Requests
13
Domains
135 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:4,958 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
78%
healthcare medical
64%
government public service
57%
corporate
35%
phishing scam
33%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4188.114.97.3United States
AS13335Cloudflare, Inc.
277.37.93.141Phoenix, Arizona, United States
AS47583Hostinger International Limited
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2142.251.14.94United States
AS15169Google LLC
209--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194721B33EE41063C172182E0A1E1B2FDB966C416D343CCE664699B1D82DEBEB5A3794C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tPWxhnYf8zX+8QJKJTZ8cVhwPjLKPWhstVYYrWag4MDoq2:VWxhnz+8tXVGPjHdYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16892:GqJqYAqARSCFA8ApNkDiUjSUgAAgApsxCgGhQiddkIVUILWIQWAjCAlJUAIBLomBQoAMVNAjDSBA1PAewJJAA2eAQ0yohKVp

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:ffc3818181c3ffff
Perceptual Hash:f97993966c8c1c38
Difference Hash:601b1333130b3633
Wavelet Hash:ffc181818181d7df
Color Hash:#bd87c5

Scan History

Scan history not available

Unable to load historical scan data