Security Scan Report: attendance-checker-qnkqz33eik.edgeone.app

Submitted: Feb 21, 2026, 5:35:44 PMCompleted: Feb 21, 2026, 5:36:55 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is attendance-checker-qnkqz33eik.edgeone.app and was registered NaN years ago.

Submitted URL: https://attendance-checker-qnkqz33eik.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 shows no malicious indicators but is a new, low‑rank subdomain; overall low risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low ranking domain
Safety Factors
No malicious Indicators of Compromise matches found
No forms or credential fields detected
No JavaScript malware patterns detected
No network IDS alerts detected
Domain age information unavailable

Details

Page Title

attendance-checker-qnkqz33eik.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'attendance-checker-qnkqz33eik.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'attendance-checker-qnkqz33eik'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals two 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://attendance-checker-qnkqz33eik.edgeone.app/

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
9 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:223 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form

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

T124048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8Oldi:whoC9JSqzzbs6o3Sj3gcrsi2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184596:hRSgQnAoZAAUSNBNDHAaRNNCshMSNEGAhKwlEzgCJrI0UBEMSIkEIEFUYEBAJOACIRAgRBAAic0oRIWh1NgDEBAhmhpFFIhG

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673363
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#e0736c

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data