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Security Scan Report: furious-lavender-h6096vsskb-46t0o8nxmq.edgeone.app

Submitted: Mar 29, 2026, 11:42:03 PMCompleted: Mar 29, 2026, 11:43:11 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 8 HTTP transactions. The main domain is furious-lavender-h6096vsskb-46t0o8nxmq.edgeone.app and was registered NaN years ago.

Submitted URL: https://furious-lavender-h6096vsskb-46t0o8nxmq.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

No suspicious activity detected; the site appears legitimate and safe.

Safety Factors
Hosted on a standard hosting platform (edgeone.app) with no known malicious activity
No cross‑origin credential exfiltration observed
No suspicious JavaScript behavior (low obfuscation score, no eval or network calls)
Domain age unknown but no phishing or scam indicators present
Domain age information unavailable

Details

Page Title

VQ Academy | Grade 5 Master Terminal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(57%)

Domain Information

Within the application-focused generic top-level domain (.app), 'furious-lavender-h6096vsskb-46t0o8nxmq.edgeone.app' is registered with subdomain 'furious-lavender-h6096vsskb-46t0o8nxmq'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Word splitting yields 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://furious-lavender-h6096vsskb-46t0o8nxmq.edgeone.app/

Page Load Overview

0.91s
Total Load Time
8
HTTP Requests
3
Domains
181 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:4,299 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

education learning
57%
entertainment media
41%
documentation technical
33%
adult content
29%
technology software
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.250.154.94United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2142.250.201.74United States
AS15169Google LLC
83--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6130926A1F3122216A390F577E78B4BB930C007DB0AD5543EED91D05FCEEA9986778C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:k1DjJS3/+GNS4mxer0cSQMHVImq3pPZME7vIdxmm5f1ACuxjGH:kqGGNS4mxer0csHVIm+9ZMCvIrmm5f13

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42250:GUjJkgwDAIkQ3GvqNEHMIO6AEiS2EEopcAUwQCBNeBR1KEjQDDACADAkACMAIwSgQhTEANAN4yIUliFFhABCIZ3BwGGCmcHc

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:073f1f7f01017f81
Perceptual Hash:8187e73d38963c39
Difference Hash:cce0f8d83bbbc4a3
Wavelet Hash:073f1f7f03017f01
Color Hash:#ac538d

Other Hashes

Crop Resistant:cce0f8d83bbbc4a3

Scan History

Scan history not available

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