Security Scan Report: visual-black-hjmc5wtqwa-yeof0qw3u5.edgeone.app

Submitted: Apr 28, 2026, 2:44:34 AMCompleted: Apr 28, 2026, 2:45:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is visual-black-hjmc5wtqwa-yeof0qw3u5.edgeone.app and was registered NaN years ago.

Submitted URL: https://visual-black-hjmc5wtqwa-yeof0qw3u5.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; likely a legitimate educational page but subdomain age is unknown.

Risk Factors
Low domain ranking (outside top 100K)
Subdomain age unknown (could be newly created)
Safety Factors
No login, payment, or credential forms
No malicious JavaScript or obfuscation
No external malicious links or redirects
Content appears to be educational attendance information
Domain age information unavailable

Details

Page Title

Doranda – Student Attendance (v2)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(57%)

Domain Information

Domain 'visual-black-hjmc5wtqwa-yeof0qw3u5.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'visual-black-hjmc5wtqwa-yeof0qw3u5'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://visual-black-hjmc5wtqwa-yeof0qw3u5.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
10 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
Text Length:350 chars
Detector Agreement:67%

Website Classification

Primary Category

education learning57% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
57%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123A2E8A561F0103631B393787ADB978B3234D003E14E89997DDCA5988FC6EC2DB6369D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:G5dYgybgFrfgW3CYD/6rFPA7BwH2//N21ui0FZi1qB+iSioeEYuztfRC/frhw:G5+gBlJ3CYD/Yy9x//s1/0Fg1qBP7oes

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21270:BEKIDSSQqSgQAQ4yBANiABrYVJMBKIigNScADhRCXAg4IAI4EYzxUdKMmhDCVhI+gqB0MBAMQhnEENpYYVNQIEIcJCg2xBBw

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:7f7e000000000000
Perceptual Hash:87878797b3383839
Difference Hash:ece0186818000000
Wavelet Hash:7f7f7f3f1f000000
Color Hash:#6240bf

Other Hashes

Crop Resistant:ece0186818000000

Scan History

Scan history not available

Unable to load historical scan data