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Security Scan Report: doomcuzschoolneedsit-3gan1hod0j.edgeone.app

Submitted: Apr 23, 2026, 1:20:46 PMCompleted: Apr 23, 2026, 1:22:11 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is doomcuzschoolneedsit-3gan1hod0j.edgeone.app and was registered NaN years ago.

Submitted URL: https://doomcuzschoolneedsit-3gan1hod0j.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site with no malicious indicators; limited suspicion due to unknown subdomain age and low ranking.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Subdomain age unknown, treated as potentially new
Safety Factors
Absence of malicious Indicators of Compromise
No credential or payment forms
No detected JavaScript malware or suspicious behavior
Domain age information unavailable

Details

Page Title

DOSBox SVN, CPU speed: max 100% cycles, Frameskip 0, Program: DOOM

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(88%)

Domain Information

Domain 'doomcuzschoolneedsit-3gan1hod0j.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'doomcuzschoolneedsit-3gan1hod0j'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Breaking it apart gives 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://doomcuzschoolneedsit-3gan1hod0j.edgeone.app/

Page Load Overview

6.24s
Total Load Time
9
HTTP Requests
3
Domains
6.7 MB
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
Text Length:93 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
88%
technology software
87%
download file sharing
36%
news media journalism
31%
government public service
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
3151.101.1.229United States
AS54113Fastly, Inc.
3151.101.194.137United States
AS54113Fastly, Inc.
93--

Detected Technologies2

JQueryv2.1.1
100%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAC1866A4F7702023127B0E5C7F256186561C207A64ACC077A9C03A6BF9CA6FD4F7A99

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:LJcFT4r1bCy+UuJfknEWuNcpktth1JZ/n+Ch1VHG1nqb3Xlzc95:FMcr1bCy+UuJMEWufttJZ/+CFEqFzcf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6086:FbARhAyAQJCJCiAAqVBYRABwIABmRpgGFEUGBYBCICAEoSABlvgQQkgAmQaAjUA+cQAISpTBEAtAIygRoIUgAxRADFIhMaIA

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:0000000000000000
Perceptual Hash:cccc3333cccc3333
Difference Hash:0000000000000000
Wavelet Hash:ffffffff00000000
Color Hash:#a6d279

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data