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Security Scan Report: vjvneet-dpwbgl2nw0v9.edgeone.app

Submitted: Jun 10, 2026, 10:46:41 AMCompleted: Jun 10, 2026, 10:48:08 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is vjvneet-dpwbgl2nw0v9.edgeone.app and was registered NaN years ago.

Submitted URL: https://vjvneet-dpwbgl2nw0v9.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The site shows moderate risk due to unknown subdomain age, low reputation, and login‑style text without forms; no clear malicious activity detected.

Risk Factors
Unknown subdomain age (could be brand new)
Low domain reputation ranking
Potential brand impersonation without verification
Login‑like UI without proper form handling
Safety Factors
No credential or payment forms detected
No malicious JavaScript or YARA detections
No network IDS alerts
No external malicious links
Content appears educational/technical
Domain age information unavailable

Details

Page Title

NISTARAN | OT-6 NEET

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(49%)

Domain Information

You're looking at domain 'vjvneet-dpwbgl2nw0v9.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'vjvneet-dpwbgl2nw0v9'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Splitting it apart reveals two 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://vjvneet-dpwbgl2nw0v9.edgeone.app/

Page Load Overview

1.22s
Total Load Time
7
HTTP Requests
3
Domains
92 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:1,755 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical49% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
49%
education learning
43%
government public service
31%
adult content
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
3142.251.13.95United States
AS15169Google LLC
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T153B30950A3CC0435EA0688A7730977A7B94D54CFAB46C290B68844751EC3DEB9B7F2BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ggUAUkUXMr2x7Bvm03S2SHxABLqgo+Z1bcJK:br2x7PSyBJZ1bcJK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110605:MkoYNHiAkGdcQMwESAEiArQFEUoAF4bAkoC2ArBFwkFAkGIlbYgtu4JBCJooKMREJZAJxLxgwmCUMGjgDGHJuAGYSZBAQYVs

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:00001819191b1b07
Perceptual Hash:895b666c3333cccc
Difference Hash:fff3b3b3b3b3f3ff
Wavelet Hash:01031b1f1f1f1f1f
Color Hash:#7994d2

Other Hashes

Crop Resistant:94261a78426a3322,fff3b3b3b3b3f3ff

Scan History

Scan history not available

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