Security Scan Report: attendance1-y4o66xndau.edgeone.app

Submitted: Mar 29, 2026, 7:20:03 PMCompleted: Mar 29, 2026, 7:21:20 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is attendance1-y4o66xndau.edgeone.app and was registered NaN years ago.

Submitted URL: https://attendance1-y4o66xndau.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 85%

4
Risk Score

Site shows no malicious activity but subdomain age is unknown, warranting moderate caution.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Domain age unknown
Safety Factors
No login or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Uses reputable external domain www.gstatic.com
No redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Attendance App

Scan Type

public

Language

🇺🇸

English

(66% confidence)

Category

unknown

(0%)

Domain Information

Domain 'attendance1-y4o66xndau.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'attendance1-y4o66xndau'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://attendance1-y4o66xndau.edgeone.app/

Page Load Overview

0.49s
Total Load Time
5
HTTP Requests
2
Domains
6 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:66%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:66%
Script Type:Latin
Text Length:180 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.58.206.35United States
243.152.26.58Singapore
52--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EE1966A81F619B286B710F732B7D6103098C4177A84D5803EAC85C49FC5D5BC5AF2BF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:7clycivweO1z0Dd1SX9RyaQ4RfJpTAhwj75F1KnAbvu4D:7clT1R0J1kRyORf/AhC1Kn/2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7324:oBAJAEDWQBhqxAjIIBCDUBSQItCEJEYNNaSAFoJqsAiFgYISshJgAAQARCASPCTAJB4oCxWRAQEiEjDAJPE01AiAsEGgAuUo

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:e7e7e7ffffffffff
Perceptual Hash:b333339999999998
Difference Hash:084d4c3008000000
Wavelet Hash:d8c0c0d000000000
Color Hash:#ac5357

Other Hashes

Crop Resistant:084d4c3008000000

Scan History

Scan history not available

Unable to load historical scan data