Security Scan Report: vjvtestseries1-dpcccpno9jws.edgeone.app

Submitted: Jun 16, 2026, 5:55:24 PMCompleted: Jun 16, 2026, 5:56:40 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 vjvtestseries1-dpcccpno9jws.edgeone.app and was registered NaN years ago.

Submitted URL: https://vjvtestseries1-dpcccpno9jws.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 no malicious forms or indicators; only minor anti‑analysis behavior and unknown subdomain age, resulting in low risk.

Risk Factors
Unknown subdomain age on a hosting platform
DevTools blocking (anti‑analysis technique)
Safety Factors
Absence of credential or payment collection forms
No malicious IoC or YARA detections
Content appears educational with no brand impersonation
Domain age information unavailable

Details

Page Title

NISTARAN | OT-2 | Class 11

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(71%)

Domain Information

The domain name 'vjvtestseries1-dpcccpno9jws.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'vjvtestseries1-dpcccpno9jws'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 2 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://vjvtestseries1-dpcccpno9jws.edgeone.app/

Page Load Overview

0.43s
Total Load Time
2
HTTP Requests
1
Domains
31 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:2,225 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning71% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

education learning
71%
adult content
50%
government public service
36%
documentation technical
35%

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

T19CB30921E2A80036B62780D3B68A6B9F75744087D54AD654F66C8070CFC6FEB96773CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QWcCJNgd2EOUP/a1w35IXGp5QtfC2OB8fo9KHUN0I/ptsEPctK+:PIPC13XGp5QE9nWIx6EPctK+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114668:AIIRgtgPgrMNLAQDMCGigQBq44GHOSCRwgkBMAHBCAAQyQggAtBXQQWbIDBGDPE+rQQgTGot1KAESwSwj4LjO1ggIihDxAMg

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:0018181818181800
Perceptual Hash:999c263723558cdd
Difference Hash:ccb0b2b2b2b2f0c9
Wavelet Hash:0f1e1e3c3c7878f0
Color Hash:#d2b579

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data