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Security Scan Report: attendanceguru-dor2kf7r2h.edgeone.app

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Submitted: May 10, 2026, 9:10:03 PMCompleted: May 10, 2026, 9:11:27 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is attendanceguru-dor2kf7r2h.edgeone.app and was registered NaN years ago.

Submitted URL: https://attendanceguru-dor2kf7r2h.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: 78%

4
Risk Score

Site lacks obvious malicious elements but unknown subdomain age and heavily obfuscated JavaScript warrant caution.

Risk Factors
Critical JavaScript obfuscation (potential hidden malicious behavior)
Low domain ranking indicating limited reputation
Subdomain on a hosting platform with unknown age
Safety Factors
Absence of login or payment forms
No malicious Indicators of Compromise matched
No network IDS alerts detected
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

Attendance MA HK - Guru Manage Students

Scan Type

public

Language

🇫🇷

French

(43% confidence)

Category

education learning

(58%)

Domain Information

Domain 'attendanceguru-dor2kf7r2h.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'attendanceguru-dor2kf7r2h'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three consonants. Word splitting yields 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://attendanceguru-dor2kf7r2h.edgeone.app/

Page Load Overview

5.88s
Total Load Time
8
HTTP Requests
4
Domains
332 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:id
Text Length:54 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as fr

Website Classification

Primary Category

education learning58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
58%
healthcare medical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.251.110.94United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2151.101.65.229United States
AS54113Fastly, Inc.
2172.67.68.11United States
AS13335Cloudflare, Inc.
84--

Detected Technologies2

Tailwind CSS
30%
jsDelivr
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E530A9110BA3D7B0B8394F5E243AF493468E303E897C49D7E5C51921F8BCA6CB9B65C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:KuWqhnJkTzO58Mr9wapadEfr1fNSYF/8/uiU6k7HKUrfrQkQf3E1It+/TFQBX:KehJkPO58mBQYXk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:62019:RBNEuCxSnB7sQlgFEkhAZIQAoA/ExIpjBSgwplJFDmPKkrUQxA2YIHknTgBEwEACRQUCyAiMgICniPDRKDgx2IW0hibBoIgK

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:ffffffe7e7ffffff
Perceptual Hash:b38ccc333399cc66
Difference Hash:0010080c4c100800
Wavelet Hash:3f3f030b23233333
Color Hash:#ac53a5

Other Hashes

Crop Resistant:0010080c4c100800

Scan History

Scan history not available

Unable to load historical scan data