Security Scan Report: narenkvssplitupsyllabus-dpfguvy6zqt2.edgeone.app

Submitted: Jun 9, 2026, 12:53:34 PMCompleted: Jun 9, 2026, 12:54:43 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is narenkvssplitupsyllabus-dpfguvy6zqt2.edgeone.app and was registered NaN years ago.

Submitted URL: https://narenkvssplitupsyllabus-dpfguvy6zqt2.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: 78%

2
Risk Score

The site shows low risk with no malicious activity, but unknown subdomain age and low ranking suggest basic caution.

Risk Factors
Unknown subdomain creation date
Low domain reputation ranking
Presence on a generic hosting platform subdomain
Safety Factors
No credential or payment collection forms
No malicious JavaScript or obfuscation
No network IDS alerts or external IoC matches
Content appears to be benign educational material
Domain age information unavailable

Details

Page Title

NareN KVS Split-Up Syllabus 2026-27 — Interactive Explorer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(93%)

Domain Information

Within the application-focused generic top-level domain (.app), 'narenkvssplitupsyllabus-dpfguvy6zqt2.edgeone.app' is registered with subdomain 'narenkvssplitupsyllabus-dpfguvy6zqt2'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://narenkvssplitupsyllabus-dpfguvy6zqt2.edgeone.app/

Page Load Overview

1.61s
Total Load Time
12
HTTP Requests
4
Domains
241 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:6,407 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software93% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
93%
documentation technical
70%
education learning
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.17.25.14United States
AS13335Cloudflare, Inc.
443.168.176.154Singapore
4142.251.13.95United States
AS15169Google LLC
123--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125529422A181A223418741C3A3232F55F5E4D227D7530858FDBD8BE69F9ACBCD27366D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QK4IUlrJBOAbAuT73teks0l1lFpp+V1re5t:QK4IUHVEks0l1fpYfet

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13682:EUMGQAY4AwAKEMqQsEgAgyAAtR5AkBDIktmA4sArJdQhiyAIN58gUMLAYAkkAFBaFYDBa03CIDAGCYaNcWUgBCCEIiGFIAJE

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:0000ff83c3ffffff
Perceptual Hash:a90e02063fbbc7e3
Difference Hash:f1f1c33b13d49e9c
Wavelet Hash:0000f98181ffefef
Color Hash:#d22dbf

Scan History

Scan history not available

Unable to load historical scan data