Security Scan Report: unit22-vadc2muej2.edgeone.app

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Submitted: May 12, 2026, 11:44:50 PMCompleted: May 12, 2026, 11:46:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is unit22-vadc2muej2.edgeone.app and was registered NaN years ago.

Submitted URL: https://unit22-vadc2muej2.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

The site shows no malicious activity, forms, or IoC matches; despite a low ranking and unknown subdomain age, it is assessed as low risk.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Subdomain creation date unknown (could be brand‑new)
Safety Factors
Absence of login, payment, or data‑collection forms
No malicious Indicators of Compromise
No JavaScript malware detections
No IDS alerts indicating phishing or malware
Content appears to be a benign quiz page
Domain age information unavailable

Details

Page Title

MSBTE Emerging Trends Unit-II Quiz

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'unit22-vadc2muej2.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'unit22-vadc2muej2'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. It segments into 2 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://unit22-vadc2muej2.edgeone.app/

Page Load Overview

1.15s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:8,026 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
2101.33.10.57Frankfurt am Main, Hesse, Germany
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186935D3011E2715E20A357D62AEA0E476A64E717AE072B247EDD47C40FDBE8ADD2713C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:+isR+qoBN/scIsA4HlvSxVnQCawn/+vngJYk/ScKMvmSVb:+Z+qoBzvA4HlqbnQC7nmPCYk/3KMuSVb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89832:t4hiAJsEMllDsAAAYWCYKhQQDUhAELQQLRglMks5IEEAeLKskMQwAoIAJWSiEa21ANQAIxCbtOcRhWQ+KxARCOBBAAHFIBEo

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:3c18183c3c3c3c3c
Perceptual Hash:8a3c3c6696667599
Difference Hash:6171f16969416169
Wavelet Hash:1818383c3c3c3c3c
Color Hash:#a287c5

Other Hashes

Scan History

Scan history not available

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