Security Scan Report: static-jade-j6se0o3v9j-berhl4ivcf.edgeone.app

Submitted: Jan 23, 2026, 11:27:07 PMCompleted: Jan 23, 2026, 11:28:23 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is static-jade-j6se0o3v9j-berhl4ivcf.edgeone.app and was registered NaN years ago.

Submitted URL: https://static-jade-j6se0o3v9j-berhl4ivcf.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
Low Cisco Umbrella ranking but no malicious activity observed
Absence of forms collecting passwords, emails, or payment data
No hidden or disguised password fields
No external domains or redirects
Domain age information unavailable

Details

Page Title

શ્રી જી.વી.ઘેલાણી વિદ્યાલય વહિયા - ક્વિઝ

Scan Type

public

Language

🇮🇳

GU

(80% confidence)

Category

healthcare medical

(81%)

Domain Information

The domain name 'static-jade-j6se0o3v9j-berhl4ivcf.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'static-jade-j6se0o3v9j-berhl4ivcf'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 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://static-jade-j6se0o3v9j-berhl4ivcf.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
4 KB
Total Size

Language Analysis

Primary Language

🇮🇳Gujarati
Code: gu
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:gu
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:gu
Text Length:450 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical81% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
81%
education learning
75%
government public service
43%

Detected Features

No structural features detected

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

T10A92818681B5203256CBD5B9038F57446638D203E5875220359FE9D88F0CEDA7EBB6AB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:n4/QWmJPGtnXQJsvKd5zdzP/YXeaIjr5+FAebV4/mX7ML++l6JH6UASsh:6Q0ZkAy/b+LMi+l6JH6UAp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19601:kBJhEQBBJCkRmsAUhGDoAgIAhFwwjUUqkiLiEACOpEgCagIjPDAIiDQdzAQAokAgCsAQCGUicgMlxjIMokBCACSCCSDB0CUk

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:c3c3ffffe7ffffff
Perceptual Hash:b0303031c7cfcfc7
Difference Hash:96960c6949481200
Wavelet Hash:8080bcbc243ccfcf
Color Hash:#36931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data