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Security Scan Report: eklavya-test-series-portal-gtkvh1g4ju.edgeone.app

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Submitted: Feb 11, 2026, 4:52:57 PMCompleted: Feb 11, 2026, 4:54:15 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 eklavya-test-series-portal-gtkvh1g4ju.edgeone.app and was registered NaN years ago.

Submitted URL: https://eklavya-test-series-portal-gtkvh1g4ju.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: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

eklavya-test-series-portal-gtkvh1g4ju.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(38%)

Domain Information

Within the application-focused generic top-level domain (.app), 'eklavya-test-series-portal-gtkvh1g4ju.edgeone.app' is registered and includes subdomain 'eklavya-test-series-portal-gtkvh1g4ju'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. Breaking it apart gives 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://eklavya-test-series-portal-gtkvh1g4ju.edgeone.app/

Page Load Overview

9.75s
Total Load Time
25
HTTP Requests
8
Domains
2.5 MB
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:2,279 chars
Detector Agreement:75%

Website Classification

Primary Category

education learning38% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2543.152.26.58Sweden
AS15169
251--

Detected Technologies1

Tailwind CSS
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196048F773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8Old4:nhoC9JSqzzbs6o3Sj3gcrsE2eAe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:RzLUEsgSAAgCoCdIxEJCbIADARAepKMJI4KAwqKIAd2CoLCdChQAIigGjrcEDADolEIktCJgLrpl6AWAJcAQBEBLEADEhIAh

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#452dd2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

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