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Security Scan Report: horrormath-j07j83cmiy.edgeone.app

Submitted: Mar 25, 2026, 12:44:38 AMCompleted: Mar 25, 2026, 12:45:59 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 1 HTTP transaction. The main domain is horrormath-j07j83cmiy.edgeone.app and was registered NaN years ago.

Submitted URL: https://horrormath-j07j83cmiy.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: 85%

2
Risk Score

Site appears benign with no malicious content; only minor suspicion due to new subdomain on a hosting platform.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
HTTPS connection
No forms or credential collection
No malicious Indicators of Compromise
No JavaScript malware detected
No external malicious links
Domain age information unavailable

Details

Page Title

Math Class After Hours - Night Shift

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

documentation technical

(76%)

Domain Information

You're looking at domain 'horrormath-j07j83cmiy.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'horrormath-j07j83cmiy'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Tokenizing the label suggests 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://horrormath-j07j83cmiy.edgeone.app/

Page Load Overview

0.86s
Total Load Time
11
HTTP Requests
5
Domains
191 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:698 chars
Detector Agreement:33%

Website Classification

Primary Category

documentation technical76% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
76%
healthcare medical
73%
forum community discussion
50%
education learning
44%
government public service
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.208.170United States
AS15169
2172.67.68.11United States
AS139341
254.192.35.113United States
AS16509Amazon.com, Inc.
2142.251.140.163United States
AS13335
243.152.26.58Singapore
AS139341ACE
115--

Detected Technologies1

Tailwind CSS
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E323086A67A300367C67D1FAAFEB6304353C908BEE0BCA68798D4140BFC759549E7394

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jYtkNqxCoA1TshockGhL72u4R94Zz+WbQBxyvJaUDgEgThbGWwW4fW/njX6wWTw3:jYtkNqxCoA14zkGhnjN+WbQqhaIg7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49179:Bw/HAJPAKCIOcAKFWwDYIpAQIImOEBVJ4hC0BZIl8bFY4VEgdx1EFDMjRpEEGDmgFkgE60hLhAQyjgE2IWDEDOAAQjcAoEWg

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:0018181818383800
Perceptual Hash:cc3333ce66cc9931
Difference Hash:0030303030303000
Wavelet Hash:001c3c3c383c3c30
Color Hash:#93271f

Other Hashes

Crop Resistant:0030303030303000

Scan History

Scan history not available

Unable to load historical scan data